## Understanding Price Scraping

In the business world, the phrase "Keep your friends close and your enemies closer" takes on a whole new twist. By keeping a close eye on your competitors, you can track their pricing strategies and spot market trends. For example, you might see a tech accessory brand consistently slashing prices by 10% every Friday or a consumer goods company hiking prices just before the holidays. These insights are key to crafting effective counter-strategies.

### Have You Faced These Challenges?

- Discovering a 20% price difference for the same product across different platforms
- Ending up with excess inventory due to high pricing during sales events
- Missing out on responding to a competitor's sudden price drop because of delayed information

These are exactly the issues that **price scraping** aims to tackle. By using automated tools to gather price data from across the web, you can turn scattered market information into structured intelligence. Imagine your system alerting you within 15 minutes when an e-commerce platform quietly adjusts phone accessory prices. Or your team being ready with a "buy two, get one free" offer when a competitor launches a "spend $300, save $50" promotion. So, how can you efficiently gather pricing information? Let's dive in.

![what-is-price-scraping-cover-image-analytics-theme.png](https://strapi.thunderbit.com/uploads/what_is_price_scraping_cover_image_analytics_theme_3b8beead59.png)

## What is Price Scraping?

Price scraping is an automated process that uses web crawlers or other methods to collect price data from websites. It mimics user behavior to access target sites, then identifies, extracts, and stores the desired pricing information.

Price scraping can be applied across various industries:

- If you're part of an e-commerce team, price scraping helps you efficiently gather **competitor pricing information** to adjust your product prices and maintain a sales edge. It also allows you to compare **supplier prices** to select cost-effective products, boosting company profits.
- As a SaaS founder, you can use price scraping to quickly compile competitor pricing data, helping you set your product pricing strategy to attract more users and subscribers.
Now that we have a basic understanding of price scraping's powerful features and applications, you're probably curious to learn more. Let's continue exploring.

## The Importance of Price Scraping

Let's sum up why price scraping is so important:

![price-scraping-dynamic-pricing-funnel-analysis.png](https://strapi.thunderbit.com/uploads/price_scraping_dynamic_pricing_funnel_analysis_85cfbad790.png)

- **A Tool for Understanding Competitors**: Price scraping lets you monitor competitors' price changes in real-time and objectively assess your own advantages. For example, if you discover through price scraping that a competitor is consistently running low-price promotions or regularly changing prices, you can gain insights into their market position or strategy.

- **Enhancing Market Insight**: Prices convey a lot of signals and reflect market preferences. By regularly monitoring competitors' pricing strategies, promotions, and product combinations, or the pricing information of upstream and downstream suppliers, you can [enhance your understanding and sensitivity to market trends](https://www.zyte.com/learn/market-research/).

- **Foundation for [Dynamic Pricing](https://www.marketingscoop.com/ai/dynamic-pricing-examples/)**: Price is a key factor influencing consumer purchases. Consumers often compare prices for similar products before buying, so we all want our product prices to remain competitive in the market. With over 24 million e-commerce sites globally, competitive pricing is crucial for attracting consumers. [Effective pricing strategies can increase profit margins by up to 60%.](https://www.pricefy.io/articles/essential-tips-for-successful-price-scraping) Whether you're a retailer or distributor, the market signals conveyed through price scraping allow you to easily, quickly, and regularly adjust product prices to maintain price competitiveness.

## Price Scraping Use Cases

<Table content={`| **User** | **Use Cases** |
| --- | --- |
| **E-commerce Platforms** | - Monitor competitor product prices to adjust your own  <br> - Track competitor product status and inventory changes for inventory management |
| **SaaS Founders** | - Analyze competitor pricing pages, package structures, and specific prices to optimize pricing strategies |
| **Consumers** | - Monitor price fluctuations of desired products to seize the best purchase opportunities |
| **Real Estate Investors/Companies** | - Monitor regional housing price changes to understand market trends |
| **Travel Platforms** | - Monitor competitor hotel room rates or travel package prices to promptly offer corresponding discounts or upgrades |
| **Purchasers** | - Monitor supplier prices to understand their quotes and production capabilities |`} />

## Challenges of Price Scraping

1. **Inconsistent Website Formats**: Different website formats make it challenging to create a universal price scraping template. For example, finding the same phone's price on different e-commerce platforms or brand sites can be tricky.

![iphone-16-pro-max-pricing-apple-amazon-ebay-screenshot.png](https://strapi.thunderbit.com/uploads/iphone_16_pro_max_pricing_apple_amazon_ebay_screenshot_2a014cca41.png)

With so many websites out there, creating a Price Scraping template for each one just isn't practical.

2. **Need for Scheduled Scraping**: Prices need regular monitoring, and many e-commerce sites update prices monthly. A web scraping tool with scheduled scraping capabilities is essential.

3. **Anti-Scraping Measures**: Strengthened anti-scraping mechanisms increase the difficulty of price scraping. Some platforms enhance their anti-scraping technologies, including IP restrictions, user-agent detection, and CAPTCHA checks, making it hard for scraping programs to function properly.

4. **Frequent Price Updates**: E-commerce platforms frequently update prices, making data accuracy challenging. Platforms may implement dynamic pricing strategies based on location and user profiles, leading to different prices for the same product at different times and scenarios, making it hard to obtain complete and accurate data.

## Methods of Price Scraping

Generally, there are several methods for price scraping:

<Table content={`| **Method** | **Advantages** | **Disadvantages** |
| --- | --- | --- |
| **AI Web Scraper** | - Automatically adapts to different website structures  <br>  - Highest speed and efficiency <br> - Automated data cleaning  <br>  - Unified data format | - Higher cost |
| **Manual Copy-Paste** | - Simple and easy to use  <br>  - No additional tools or costs required | - Low efficiency <br>  - Difficult to handle large amounts of data |
| **Traditional Web Scraper** | - Fast speed  <br>  - High automation | - High learning curve  <br>  - Complex configuration |
| **AI Search Tools like Perplexity** | - User-friendly conversational mode  <br>  - Suitable for exploratory research  <br>  - Can use AI for summarization | -  Not designed specifically for price scraping  <br>  - Cannot visually display large amounts of price data  <br> - Output has token limitations |`} />

## How to Scrape Pricing Information

### Scrape Pricing using [Thunderbit](https://thunderbit.com/) (AI Web Scraper)

With Thunderbit, [it's as simple as two steps](https://thunderbit.com/blog/scrape-any-website-using-ai): click "AI Suggest Columns" to intelligently fill in the content to be scraped, then click the "Scrape" button to start scraping.

<VideoPlayer url={"https://www.youtube.com/watch?v=OuXTcDtOFHw"} />

**Other Highlights**

- Add AI functions like summaries or sources in columns by simply entering natural language. For example, you can compare prices from different websites for future price analysis. There are more AI features waiting for you to explore!
  
![thunderbit-ai-web-scraper-interface-amazon-product-page.png](https://strapi.thunderbit.com/uploads/thunderbit_ai_web_scraper_interface_amazon_product_page_c0adb54811.png)
  
- [Multiple templates for popular e-commerce and other types of websites are available to meet your needs with just a click.](https://thunderbit.com/template)

![thunderbit-ecommerce-scraper-marketplace-templates.png](https://strapi.thunderbit.com/uploads/thunderbit_ecommerce_scraper_marketplace_templates_dae2f9f08f.png)
    
- Besides exporting in CSV and JSON formats, you can also save directly to Google Sheets, Airtable, or Notion for unified table management.

![thunderbit-scraper-export-to-google-sheets-airtable-notion.png](https://strapi.thunderbit.com/uploads/thunderbit_scraper_export_to_google_sheets_airtable_notion_fabf82de9e.png)
    
- Set up regular monitoring of website price data. Once configured, Thunderbit will automatically scrape price data at scheduled intervals, providing a comprehensive understanding of competitor price changes.

<TryButton url={"https://www.thunderbit.com/ai-web-scraper"} title={"Scrape Pricing with AI in 2 Clicks"} />

### Scrape Pricing using [Thunderbit](https://thunderbit.com/) (Scheduled Scraper)

<VideoPlayer url={"https://www.youtube.com/watch?v=xt1-qoN6xmI"} />

### Scrape Pricing using Traditional Web Scraper

Traditional web scrapers are abundant in this competitive market, with major players like [Browse AI Pricing](https://www.browse.ai/pricing), [Bardeen AI Pricing](https://www.bardeen.ai/pricing), and [Octoparse Pricing](https://www.octoparse.com/pricing). Let's take Browse AI as an example.

**Key Features:**

- No coding required: Train a bot to scrape without writing a single line of code, suitable for most users.
- Automatically highlights content users might want to scrape: Intelligently recommends content to scrape without requiring users to click on each item.
- Rich template library: Pre-built templates for common websites meet most needs.

**Scraping Steps:**

Click to configure the bot, select the scraping method, choose the data to scrape, select the data type, save the data, start scraping, and check the data. After many clicks, you finally get the desired price data.

![amazon-product-scraping-ui-thunderbit-extension.png](https://strapi.thunderbit.com/uploads/amazon_product_scraping_ui_thunderbit_extension_44370ba6a7.png)

For beginners, the initial learning curve is high, and without guidance, it's easy to get frustrated. Most importantly, you need to create a new setup for each e-commerce site. If the site is built on Shopify, each page is different, making it impractical to create setups for each one. While there are templates for popular sites, they don't always apply to every situation.

### Scrape Pricing using Perplexity

Besides web scrapers, you can use AI tools like Perplexity or ChatGPT to help you "scrape." This is a recent development. These AI chatbots can search and summarize information from various online platforms.

**Key Features:**

- Minimalist interaction: Users simply enter their needs in the input box to get results.
- Automated data parsing and structured output: Perplexity efficiently converts raw HTML data into structured data for better integration and analysis.
- Real-time data retrieval: Perplexity can scrape web data in real-time to obtain the latest price information.

**Usage:**

Enter the desired price scraping content to get the scraped price data.

![iphone-16-pro-max-price-comparison-apple-amazon-ebay.png](https://strapi.thunderbit.com/uploads/iphone_16_pro_max_price_comparison_apple_amazon_ebay_1cf5443f57.png)

Perplexity provides limited price data. If you only want to collect data, you need to carefully adjust the instructions given to Perplexity, which requires significant time and effort. With large data volumes, token limitations prevent full display. If your business requires extensive price data scraping, this method is not suitable.

## The Legality of Price Scraping Tools

From a legal perspective, price scraping technology is neutral and inherently neither legal nor illegal. Its compliance depends entirely on how it's used and the application context. Generally, scraping publicly displayed price data is not illegal, as this information is publicly accessible and does not involve privacy invasion or theft of confidential data.

However, price scraping can encounter various legal risks in practice. For example:

- Even with public data, excessive automated scraping that causes server overload or service disruption may be legally interpreted as electronic trespass.
- [Systematically aggregating price data through large-scale scraping](https://www.blog.datahut.co/post/web-scraping-e-commerce-websites-top-five-legal-battles-and-learnings) may be considered trade secret misappropriation in some regions, leading to litigation risks.

To ensure compliance, businesses should:

1. Carefully review and adhere to the [target website's terms of service and robots.txt instructions.](https://scrapingapi.ai/blog/legal-battles-that-changed-web-scraping)
2. Ensure that collected data does not include sensitive or protected information.
3. Obtain explicit authorization from website owners when necessary.

In summary, while price scraping technology itself is not illegal, using price data legally and compliantly is crucial. In most cases, pricing information is public, so the legal risk of price scraping is relatively low.

## Conclusion

Price scraping is vital in business competition and has a wide range of applications. This article introduced what price scraping is, its importance, user cases, challenges, methods, and legality. It highlighted methods for price scraping, especially using AI web scrapers like [Thunderbit](https://chromewebstore.google.com/detail/thunderbit-ai-web-scraper/hbkblmodhbmcakopmmfbaopfckopccgp) to obtain desired price data. This approach can scrape data from any website and is user-friendly, with clear data export options.

If you need price scraping, give it a try!

![have-a-try-google-style-search-bar-banner.png](https://strapi.thunderbit.com/uploads/have_a_try_google_style_search_bar_banner_8e23b13912.png)

## FAQs

**1. Is price scraping legal?**  
Yes, in most cases. Price scraping itself is a neutral technology—it becomes a legal issue only based on how it’s used. Scraping publicly available pricing data is generally legal, but it's essential to avoid overloading servers, violating terms of service, or accessing protected information. Always check the target site’s **robots.txt** and **terms of use** to stay compliant.

**2. What challenges can I expect when scraping pricing data?**  
Common challenges include anti-scraping mechanisms like IP blocks or CAPTCHAs, inconsistent page layouts across websites, and frequent price changes due to dynamic pricing. Tools like **[Thunderbit](https://thunderbit.com/)** are designed to handle these issues with AI-based adaptability and scheduled scraping features.

**3. Why should businesses care about price scraping?**  
Because pricing insights are powerful. Whether you're in e-commerce, SaaS, real estate, or procurement, staying updated on competitor and market prices allows you to adjust your strategy in real-time. That could mean responding to price drops faster, running smarter promotions, or simply maintaining a competitive edge.

**Learn More**

- [What Is Data Scraping and How to Do It in 2025](https://thunderbit.com/blog/what-is-data-scraping-and-how-to-do-it)
- [What Is Price Scraping?](https://www.radware.com/cyberpedia/bot-management/price-scraping/)
- [Is web scraping legal?](https://blog.apify.com/is-web-scraping-legal/)
- [Price Scraping: Learn the Basics](https://prisync.com/blog/price-scraping/)
- [Top-15 Web Scraping Use Cases in 2025: The Gold Rush](https://dataforest.ai/blog/top-web-scraping-use-cases)

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A complete guide to price scraping: use cases, challenges, legal aspects, and how AI tools like Thunderbit automate competitive price monitoring.

Use AI to scrape pricing information with zero effort.

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guide-to-price-scraping

The Complete Price Scraping Guide

> ***Data is a precious thing and will last longer than the systems themselves***.
> 
> - **[Tim Berners-Lee](https://en.wikipedia.org/wiki/Tim_Berners-Lee), computer scientist and inventor of the World Wide Web**

Every day, Google processes [16.4 billion](https://explodingtopics.com/blog/google-searches-per-day) searches: These aren't just answers to daily questions; they're a goldmine of insights—market trends, competitor activities, and a wealth of consumer data. Whether you're a salesperson, an [SEO](https://developers.google.com/search/docs/fundamentals/seo-starter-guide#:~:text=SEO%E2%80%94short%20for%20search%20engine,site%20through%20a%20search%20engine.) expert, or a marketer, you can pull out valuable insights and turn them into actionable business strategies.

Still using the old copy-paste method to gather this data? It's time to say goodbye to it.

In this article, we'll explore what Google SERP is, the valuable data it holds, and we will also introduce you to three methods for using a Google SERP scraper, including the most easy-to-use one, the no-code AI web scraper [Thunderbit](https://thunderbit.com/).
## **What is Google Search Result Page (SERP)?**

[SERP](https://en.wikipedia.org/wiki/Search_engine_results_page) (search engine results page) is what you see after typing your search keywords into search engines like [Google](https://www.google.com/), [Bing](https://www.microsoft.com/en-us/bing?form=MA13QZ&cs=2199494592), or [Yahoo!](https://www.yahooinc.com/). It's the gateway to all traffic, the first stop before you click on any links or pages.

A key feature of SERP is that it's driven by real-time data: updates in algorithms, new SERP features, keyword trends, and changes in website content can all affect search results. Moreover, search engines personalize results based on your search history and location, meaning even at the same time, different people might see different SERPs. As you can imagine, this makes it challenging for non-tech folks to efficiently extract data from these unstructured web pages.

With Google holding over [90%](https://gs.statcounter.com/search-engine-market-share) of the global search engine market share, understanding the structure of Google SERP results and how to leverage them is crucial for business success.

## **What Data Does Google SERP Contain?**

### **Structure of Google SERP**

Depending on the nature of the search query, the structure of Google SERP can vary. Generally, it includes three main parts:

![google_serp_results_highlighted.png](https://strapi.thunderbit.com/uploads/google_serp_results_highlighted_435352fcea.png)
- **Paid Results**: These are search results labeled with "Ad" or "Sponsored." Websites pay Google to appear above or below organic results. Sponsored ads may not appear on every SERP, depending on the user's query. In 2023, Google's ad revenue reached 264.59 billion U.S. dollars, according to [Statista](https://www.statista.com/statistics/266249/advertising-revenue-of-google/).

- **Organic Results**: These are unpaid search results displayed based on relevance and page ranking. Each result includes a title, meta description, and URL.

- **SERP Features**: These are features Google incorporates to enhance user experience, and they are constantly evolving. They include featured snippets, AI overviews, People Also Ask boxes (PAA), knowledge panels, local packs (for geographically focused searches), videos, images, and shopping results.

![serp_feature_example.jpg](https://strapi.thunderbit.com/uploads/serp_feature_example_d8a4e316fd.jpg)
### **Data Type**

Understanding the structure of SERP gives you an idea of the types of information you can extract, including but not limited to:

- Ads
- Title
- URL
- Meta Description
- PAA box
- Shopping Info: price, image
- Email
- Telephone number

![serp_elements_visual.png](https://strapi.thunderbit.com/uploads/serp_elements_visual_a1fba39fce.png)

## **What Can You Do with SERP Data**

### **Sales**

By using precise search queries, sales teams can efficiently generate leads and discover sales opportunities that others might miss. Google can help extract potential customer information from social platforms, including emails and phone numbers, providing sales teams with valuable contact details. We'll provide a detailed guide on using SERP to extract sales leads from Instagram below.

### **Market Research**

SERP results can assist marketers in working more efficiently. For example, in competitor analysis, by scraping competitors' ads and product information, marketers can understand their strategies and optimize their own advertising and marketing tactics.

SERP is also a predictor of market trends. Analyzing keyword trends in SERP can reveal emerging market opportunities. A sudden increase in search volume for certain keywords might indicate a new market opportunity. For instance, if you run a clothing store and notice a rise in searches for "sustainable fashion," it might be time to add products that align with this trend to your inventory.

### **SEO Analysis**

SERP is the foundation for SEO specialists. By analyzing SERP data, they can adjust keyword strategies and optimize website content to improve search engine rankings.

Let's take PAA as an example. By scraping these related questions and analyzing their changes, you can identify other questions users might be interested in, allowing you to optimize your website content accordingly.

### **Content Analysis**

For journalists, scraping Google News results can help analyze trends and understand public interest topics, guiding content production. You can find detailed information on using a web scraper to extract articles in our guide.

![applications_of_serp_data.png](https://strapi.thunderbit.com/uploads/applications_of_serp_data_1be6f0a6a2.png)

## **How to Scrape Google Search Result Page**

Now that you understand the uses of SERP data, the next question is: how do we collect it?

Manual copy-pasting is an option, but it's not practical for handling large volumes of data. With technological advancements, especially in AI, we can use web scrapers to collect massive data. Here are three automated methods:

<SideCard url={"https://thunderbit.com/ai-web-scraper"} title={"Scrape Google SERP using AI"} description={""} />

### **Using Thunderbit AI Web Scraper**

[Thunderbit](https://thunderbit.com/) is a no-code AI web scraper that can help you extract anything you want from a website. You can use our [pre-built templates](https://thunderbit.com/template) or customize the columns yourself. Let's take a sales use case, **Leads Generation**, as an example, and provide a step-by-step guide on finding qualified leads using Thunderbit.

- **Step 1**: Add Thunderbit as a Chrome extension and log in using your Google account or other email.
![thunderbit_chrome_extension_demo.gif](https://strapi.thunderbit.com/uploads/thunderbit_chrome_extension_demo_a0772db65a.gif)
- **Step 2**: Insert your search query.

  To narrow your search results, [special operators](https://support.google.com/websearch/answer/2466433?hl=en) can be useful.

  For example, here's a search query generated by [ChatGPT](https://chatgpt.com/) to find emails of people related to gyms in LA on Instagram:

  ```
  site:instagram.com ("gym" OR "fitness" OR "trainer") AND ("email" OR "@" OR “@gmail.com“ or ”@yahoo.com“ ) AND ("Los Angeles" OR "LA" OR "California")
  ```

  Insert the search query in Google and press Enter—now you can see all the information you want in the returned results.
  
![lead_generation_search_results.png](https://strapi.thunderbit.com/uploads/lead_generation_search_results_b7607f01e4.png)

- **Step 3**: Launch Thunderbit and scrape
![thunderbit_scraper_in_action.gif](https://strapi.thunderbit.com/uploads/thunderbit_scraper_in_action_ac4cb99c52.gif)
  Use natural language to describe the types of content you want to scrape (you can also click "Add column detailed instruction" to add more descriptions). Choose to export it as a table or directly to Notion, Airtable, or Google Sheets.

  Keep in mind, Thunderbit uses AI to help you scrape. So, even if some emails are blended with other text in the snippet on the Google SERP page, AI can accurately extract the emails for you.

  Click the Scrape button and wait for the results!

<TryButton url={"https://thunderbit.com/ai-web-scraper"} title={"Scrape Google SERP with AI"} />

### **Using Traditional Web Scraper**

<VideoPlayer url={"https://www.youtube.com/watch?v=n7fob_XVsbY"} />
Traditional web scrapers can also help you extract Google SERP data in bulk. Here's how to scrape SERP using WebScraper.io:

- Install the Web Scraper Extension and open Chrome Developer Tools.
- Click “Create new sitemap” and set the start URL to your Google search results page.
- Configure selectors to select specific data.

<Table content={`| **Selector Name** | **Type** | **Selector** | **Multiple?** |
| --- | --- | --- | --- |
| name | Text | select the user’s name | No ❌ |
| profile | Text | select the meta description on this page | No ❌ |`} />

- Run the scraper and export data.
- After scraping bios, you still have to extract emails from Excel using a regex formula:
  ```
  text=REGEXEXTRACT(A2,"[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}")
  ```
  (assuming A2 contains your profile text)

  This will help you extract any email addresses you want to get.

Obviously, the downside of this method is that you need some knowledge of web structure, and if the website changes (which is very likely to happen even within one day), you'll need to reconfigure the selectors.

### **Using Google Official API or Third-party SERP APIs**

Google offers an official API called [Custom Search JSON API](https://developers.google.com/custom-search/v1/overview), which allows you to programmatically access Google's search results page. You need to create and set up your [Programmable Search Engine](https://programmablesearchengine.google.com/controlpanel/all), get an API key, and use Python's requests library to make a request. However, you can only get what they give you, and the amount you can access is strictly limited. If you want personalized customization, this method might not work.

A more common choice is to use third-party SERP scraper APIs (like Zen SERP, SerpApi, ScrapingBee) to handle this. This also involves a complex setup and request process. After installation, you'll need to write code to fetch all related Instagram profile URLs and then extract emails from the bio section. This can be quite complex for business people lacking coding knowledge.

```python
import requests
from bs4 import BeautifulSoup
import re

# SerpApi credentials
SERP_API_KEY = "your_serpapi_key"
SEARCH_QUERY = "marketing consultant site:instagram.com"

# Step 1: Fetch Instagram profile URLs from SerpApi
def get_instagram_profiles(query):
    url = "https://serpapi.com/search"
    params = {
        "engine": "google",
        "q": query,
        "api_key": SERP_API_KEY
    }
    response = requests.get(url, params=params)
    data = response.json()

    profile_urls = []
    for result in data.get("organic_results", []):
        link = result.get("link")
        if "instagram.com" in link:
            profile_urls.append(link)

    return profile_urls

# Step 2: Extract email from Instagram bio section
def extract_email_from_bio(profile_url):
    headers = {"User-Agent": "Mozilla/5.0"}
    response = requests.get(profile_url, headers=headers)
    if response.status_code != 200:
        return None

    soup = BeautifulSoup(response.text, "html.parser")
    bio_section = soup.find("meta", attrs={"name": "description"})

    if bio_section:
        bio_content = bio_section.get("content", "")
        emails = re.findall(r"[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}", bio_content)
        return emails if emails else None
    return None

# Example usage
if __name__ == "__main__":
    profiles = get_instagram_profiles(SEARCH_QUERY)
    print("Found Instagram Profiles:", profiles)

    for profile in profiles:
        emails = extract_email_from_bio(profile)
        if emails:
            print(f"Emails found in {profile}: {emails}")
        else:
            print(f"No email found in {profile}")

```

### **Comparing the 3 Methods**

Need a quick and easy way to get data without a tech background? → Choose [Thunderbit](https://thunderbit.com/)

Want full control over data fields and have some HTML/CSS knowledge? → Go with a traditional web scraper

Need to access millions of data points at a lower cost and have a tech expert on hand? → Opt for a third-party SERP API

## **Is Google Scraper Legal?**

When it comes to web scraping, legality is a common concern. [Is scraping Google search results legal](https://stackoverflow.com/questions/22657548/is-it-ok-to-scrape-data-from-google-results)? The short answer is: it depends. The legal status of web scraping varies by jurisdiction, purpose of scraping, terms of service, and the content being scraped. In other words, there's no single answer.

Google's [terms of service](https://policies.google.com/terms?hl=en-US) disallow automatic scraping to access any of their services. That said, the general legal framework is that [scraping publicly available information is usually not considered illegal](https://www.abajournal.com/lawscribbler/article/scraping-a-public-website-isnt-a-crime). The purpose of scraping (commercial or non-profit) also significantly impacts its legality.

To ensure your scraping activities are ethical and legal, we recommend thoroughly reading the terms of service, scraping publicly available data, and avoiding using scraped information for illegal purposes. For large-scale scraping, consider seeking advice from legal professionals.

## **Conclusion**

Data is “[the oil of the digital era”](https://www.economist.com/leaders/2017/05/06/the-worlds-most-valuable-resource-is-no-longer-oil-but-data), and Google SERP is an untapped goldmine. Those who can quickly turn SERP data into actionable strategies will gain a competitive edge in the fast-paced market. Leads generation, market research, and search engine optimization are typical applications of SERP data.

Based on your technical background, budget, data size, and application scenario, we've introduced you to the cutting-edge AI web scraper Thunderbit, traditional web scrapers, and SERP APIs.

If you're a business person looking to scrape all results with one click, Thunderbit is undoubtedly your best choice—what are you waiting for? [Try it now](https://thunderbit.com/web-scraper-chrome-extension).

<BottomCard url={"https://www.thunderbit.com/ai-web-scraper"} title={"Try AI Web Scraper"} />

## FAQ

**1. What types of data can I extract from a Google Search Results Page (SERP)?**  
You can extract a wide range of data including titles, URLs, meta descriptions, ads, featured snippets, shopping info (like price and images), People Also Ask questions, emails, phone numbers, and more.

**2. How is Thunderbit different from traditional web scrapers or SERP APIs?**  
[Thunderbit](https://thunderbit.com/) is a no-code, AI-powered Chrome extension that lets you extract structured data using natural language—no need to configure selectors or write code. Traditional scrapers require technical setup, and APIs involve coding and come with data access limits.

**3. Do I need technical knowledge to use Thunderbit for scraping Google search results?**  
No. Thunderbit is designed for non-technical users. You simply describe the data you want in plain language, and the AI handles the extraction for you.

**4. Can I export the scraped data to tools like Google Sheets or Notion?**  
Yes. Thunderbit allows direct export to Google Sheets, Airtable, Notion, or as a downloadable table—making it easy to use your data right away.

**5. What are some practical use cases for scraping Google SERP data?**  
Common use cases include lead generation, competitor research, SEO analysis, trend spotting, and content planning. For example, sales teams can find contact info, marketers can analyze ad placements, and SEOs can track keyword performance and related queries.

## **Learn More**

- [**Refine Google searches**](https://support.google.com/websearch/answer/2466433?hl=en)
- [**What Is a SERP? Search Engine Results Pages Explained**](https://www.semrush.com/blog/serp/)
- [**In-depth guide to how Google Search works**](https://developers.google.com/search/docs/fundamentals/how-search-works)
- [**What Is a SERP Analysis & How Can You Do One?**](https://www.semrush.com/blog/serp-analysis/)



Learn how to scrape Google search results using three methods, including Google scraper and SERP scraper tools. Discover effective techniques today.

Use AI to scrape, summarize & autofill webpages with zero effort.

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How to Scrape Google Search Result Page (SERP) - 3 Methods

Discover the best article scraper for your needs. Explore AI and no-code options to efficiently gather news articles and data. Find your ideal tool today!

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The Best Article Scraper in 2025: A Comprehensive Comparison

Everyone's buzzing about data-driven decision-making, but they often forget how time-consuming and tedious data collection can be. If you've ever tried gathering data by hand, you know it's a drag. I've seen plenty of companies struggle to get their data-driven strategies off the ground because of inefficient data collection. If you're in the same boat, this article's got some fresh solutions for you.

> 💡
> In this article, we're diving into the world of data scraping and how it's evolving with technology. We'll look at the downsides of old-school methods, highlight the perks of AI-driven data scraping, and give you some hands-on tips for real-world use.

## **What is Data Scraping?**

Data scraping, or [web scraping](https://thunderbit.com/blog/scrape-any-website-using-ai), is all about pulling structured info from web pages using tools (often laid out in tables). It's a super-efficient way to gather a ton of data quickly. For instance, you can snag public data from [Google Maps](https://thunderbit.com/template/google-maps-scraper) for lead generation, scrape e-commerce SKUs from [Amazon](https://thunderbit.com/template/amazon-product-scraper) for resale or market analysis, or pull social media reviews from [Yelp](https://thunderbit.com/template/yelp-reviews-scraper) for customer insights.

## **The Technological Shift in Data Scraping**

Back in the day, data collection seemed like something only techies could handle (or involved a lot of manual copy-pasting). But now it's 2025, and AI is stepping in. Data scraping isn't just for programmers or simple automation anymore.

### **Traditional Methods Are Failing**

Modern websites are also throwing more challenges our way: dynamic content loading (like with React/Vue frameworks), the rise of multimodal data (text, video, images), and non-standardized data structures (multiple templates on the same page). Recent studies point out three big issues with [traditional web scraping methods](https://thunderbit.com/blog/best-web-scraping-tools):

1. **Maintenance Cost Black Hole**
Traditional web scrapers need constant manual upkeep (about 3-5 hours a month per website). When a site updates or changes its front-end framework, 60% of XPath selectors fail. AI tools, with their language models and code smarts, can automatically adjust to 90% of structural changes, slashing maintenance costs by 60-80%. For modern sites built with React/Vue, AI tools keep data scraping stable through semantic understanding, even when class names change.

2. **Limited Data Dimensions**
Traditional methods can only grab structured data, missing out on valuable info like:
   - Data within images
   - Textual data within articles
   - Unstructured data without HTML tags

3. **Data Quality Issues**
Traditional methods struggle with dynamic content, leading to incomplete or incorrect data:
   - For paginated data (like e-commerce product lists), traditional scrapers capture only 30-50% of the first screen's content.
   - Infinite scrolling pages (like social media feeds) lose over 60% of critical data.
   - High error rates in matching unstructured data (misaligned list data).

This is where AI-driven tools like Thunderbit come into play. I'll break down their benefits below.

### **The Rise of AI Data Scraping**

<SideCard url={"https://thunderbit.com/ai-web-scraper"} title={"Scrape data from any website using AI"} description={""} />

By 2025, AI, especially large language models (LLMs), have shown some serious skills. These models can understand and generate natural language, tackle complex data analysis tasks, and offer more efficient solutions. Many data scraping tools now use LLMs to get past the limitations of traditional methods. After checking out 13 [data scraping tools](https://thunderbit.com/blog/best-web-scraping-tools) over the past few months, I recommend [Thunderbit AI Web Scraper](https://thunderbit.com/ai-web-scraper).

Here's why Thunderbit is a standout:

1. **Revolutionary Interaction**:
   Users can type in simple natural language commands, and the system automatically creates a scraping plan, cutting down configuration time by 87% compared to traditional tools.

2. **Significant Advantages of Localized Scraping**:
   As a browser extension, Thunderbit offers:
   - Instant data scraping
   - Scraping of dynamic and infinite scrolling pages
   - Scraping of login-required pages

3. **Powerful Multimodal Data Processing**:
   Thunderbit can handle various data types, such as:
   - Extracting data from text within articles
   - Extracting financial data tables from PDFs
   - Recognizing data from multiple images and forming tables
   - Scraping video subtitles and summarizing them

With Thunderbit, you can easily tackle various data collection scenarios. Let's explore how to use Thunderbit.

## **How to Data Scrape Using AI**

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Follow these four steps to tap into Thunderbit's powerful [AI web scraping capabilities](https://thunderbit.com/blog/scrape-any-website-using-ai):

1. **Install the Browser Extension**
   Head over to the Thunderbit website and download the Thunderbit extension from the Chrome Web Store. Once it's installed, pin the extension to your browser toolbar.

2. **Register and Get Free Credits**
   Sign up within the extension to snag some trial credits. These credits let you try out core features like AI web scraping, form autofill, and smart summarization. It's a good idea to first play around with the tool in the playground for free before using the credits to see how effective it is.

3. **Initiate Smart Scraping**
   Launch a template from Thunderbit's sidebar. Use language descriptions to pick the data content and type you want, set specific extraction formats, or tweak other details. Then hit the scrape button to start data scraping.
![Thunderbitgif4.gif](https://strapi.thunderbit.com/uploads/Thunderbitgif4_c6511d18c3.gif)


## **Advanced Scraping Features (Pro Tier)**

By subscribing to Thunderbit's [Pro Tier](https://thunderbit.com/pricing) (or starting a Free Trial), you'll unlock these features:
![Thunderbit Pro.png](https://strapi.thunderbit.com/uploads/Thunderbit_Pro_b9cd7aa273.png)
- **Multimodal Data Processing**
   Handles complex scenarios like [PDF document parsing](https://thunderbit.com/blog/scrape-data-from-pdf-using-ai) (financial reports/product manuals), image data extraction (price tags/spec sheets), and video subtitle scraping. The system automatically standardizes unstructured data.

- **Deep Subpage Scraping**
   Optionally access all sublinks on a page (like [product detail pages](https://thunderbit.com/blog/how-to-scrape-amazon-products-and-reviews)/user review pages), intelligently recognize related data, and automatically merge it into the main data table. Perfect for e-commerce product catalogs, real estate listings, and more.

- **Pre-built Template Library**
   Instantly use optimized [scraping templates](https://thunderbit.com/template) for over 30 platforms like [LinkedIn](https://thunderbit.com/template/linkedin-company-scraper), [Amazon](https://thunderbit.com/template/amazon-product-scraper), and [Zillow](https://thunderbit.com/template/zillow-properties-search-scraper), automatically adapting to page structure changes. New users save an average of 83% in configuration time.

- **Bulk Scraping Task**
   Run multiple scraping tasks at once, supporting URL list imports for batch scraping.

- **Intelligent Pagination Handling**
   Automatically recognize and scrape paginated content (including "load more" buttons and page navigation), supporting infinite scrolling pages. Tested to fully scrape over 200 pages of e-commerce product lists.

## **Thunderbit Practical Guide**

### **Scenario 1: Real Estate Data Collection**

If you're a real estate agent looking to gather property data from Zillow, or an investor seeking profitable opportunities, a reliable web scraper can be your best ally. Thunderbit's AI web scraper allows you to easily extract crucial property information from Zillow, keeping you updated and competitive. Check out a tutorial video on how to scrape Zillow using Thunderbit.

![Thunderbit_Zillow2.gif](https://strapi.thunderbit.com/uploads/Thunderbit_Zillow2_a3f0d501c7.gif)

### **Scenario 2: Talent and Client Prospecting**

If you're in HR searching for talent or a salesperson seeking new leads, a reliable web scraper can be a powerful assistant. Thunderbit enables you to easily extract important data from [LinkedIn](https://thunderbit.com/template/linkedin-profile-scraper), helping you streamline talent search and lead management. After using it, you'll find that time-consuming manual searches and copy-pasting are a thing of the past. Here's a tutorial video on how to scrape LinkedIn data using Thunderbit.

![THunderbit_linkedin1.gif](https://strapi.thunderbit.com/uploads/T_Hunderbit_linkedin1_08fa78bdb4.gif)

### **Scenario 3: Market Analysis and Customer Targeting**

If you're a business owner collecting location-based data for market analysis, or a sales professional seeking local business leads, a reliable web scraper can change the game. Thunderbit allows you to easily extract key data from [Google Maps](https://thunderbit.com/template/google-maps-scraper), helping you make informed decisions and optimize your outreach. 

![Googlemaps_scraper2.png](https://strapi.thunderbit.com/uploads/Screenshot_2024_11_14_at_1_07_46_AM_bdb9f27591.png)

### **Scenario 4: E-commerce Data Analysis**

If you're an online seller wanting to understand competitors or an entrepreneur tracking market trends, Thunderbit is your perfect tool! It can easily collect various product data from [Amazon](https://thunderbit.com/template/amazon-product-scraper), including detailed descriptions, prices, and [user reviews](https://thunderbit.com/template/amazon-reviews-scraper). 

![AmazonSKU_scraper](https://strapi.thunderbit.com/uploads/Screenshot_2024_11_14_at_1_15_58_AM_19665b6af4.png)

Thunderbit AI web scraper redefines how business users collect data, making it faster, simpler, and more efficient than ever. Whether you're searching for properties in the real estate market, seeking potential clients in the talent market, or analyzing trends in the e-commerce market, AI web scrapers can save you countless hours and hassle. Embrace the power of AI in web scraping and witness a leap in your productivity. Ready to get started? Try Thunderbit and take the first step towards smarter web scraping.

<TryButton url={"https://thunderbit.com/ai-web-scraper"} title={"Try Thunderbit AI Web Scraper"} />

## **Exclusive Data Cleaning Tips**

With traditional scrapers, the real challenge begins after data scraping—data cleaning. Thunderbit's AI can perform data cleaning during data scraping using LLM, reducing data cleaning workload by 83% through the following innovative features:

### **Tip 1: Intelligent Field Alignment**
   When dealing with multi-source heterogeneous data (like scraping LinkedIn and Zillow simultaneously), Thunderbit's AI automatically establishes semantic mapping relationships:
   - Automatically identifies field correspondences across different data sources (e.g., "price" ↔ "售价" ↔ "Price")
   - Intelligently merges similar fields (e.g., "area" and "square feet")
   - Cross-platform data standardization (e.g., LinkedIn's "current position" and Zillow's "property status" unified as tag data)

### **Tip 2: Context-Aware Completion**
With the contextual understanding capabilities of large language models, Thunderbit achieves an industry-leading 99% data fill rate:
- Address completion: Automatically fills city/state information based on zip code (e.g., input 10001 → New York City, NY)
- Career path inference: Predicts possible work experiences based on LinkedIn education background

### **Tip 3: Data Optimization**
   - Multilingual translation (supports real-time translation in 12 languages, including English, Chinese, and Japanese)
   - Intelligent summarization (condenses a 500-word product description into three key selling points)
   - Unit unification (automatically converts square feet ↔ square meters, Fahrenheit ↔ Celsius)
   - Format standardization (dates unified to YYYY-MM-DD, currency unified to USD)

### **Tip 4: Quality Verification**
   - Intelligent error correction: Automatically fixes format errors (e.g., phone number +01 138-1234-5678 → +113812345678)
   - Logical validation: Ensures "year built" is earlier than "last renovation time"

### **Tip 5: AI Tagging**
   Automatically generates intelligent tags through natural language processing:
   - Sentiment analysis tags (automatically labels customer reviews as positive/negative/neutral)
   - Business value tags (automatically labels "high-potential clients"/"properties to follow up on")
   - Industry classification tags (automatically tags LinkedIn profiles with "tech|finance|healthcare" labels)

## **The Downside of Data Scraping**

While data scraping offers tremendous value, it's important to acknowledge the hurdles businesses may encounter. Legal considerations sit at the forefront - regulations like GDPR and CCPA impose strict requirements on data collection practices, requiring careful compliance with privacy laws. Websites often deploy sophisticated defenses like Cloudflare to detect and block scraping activities through IP restrictions.

## **The Future of Data Scraping in AI Era**

The evolution of AI is transforming web scraping into an intuitive enterprise solution. Imagine simply entering a domain (like zillow.com) and your request (like "scrape all property listings in New York City"), watching the AI automatically map out every relevant data point - from property details to pricing trends - without manual configuration. These intelligent systems will seamlessly integrate scraped data into business workflows, automatically feeding LinkedIn prospect information into CRMs or pushing e-commerce metrics into analytics dashboards. Advanced pattern recognition will enable predictive scraping capabilities that proactively monitor for inventory changes or emerging market trends. Crucially, AI will handle compliance dynamically, adapting scraping parameters in real-time to meet evolving regulations while maintaining transparent audit trails.

The AI-driven paradigm shift not only democratizes access to critical business intelligence but fundamentally reimagines how organizations interact with web data. As these technologies mature, early adopters who implement AI-powered scraping solutions like Thunderbit will gain decisive competitive advantages in data-driven decision making.

## **FAQs**

1. **What is Thunderbit?**
   [Thunderbit](https://thunderbit.com) is a smart browser extension based on large language models (LLM), designed for modern data collection needs. It not only offers [AI web scraping](https://thunderbit.com/ai-web-scraper) capabilities but also integrates multimodal data processing, supporting comprehensive data extraction from dynamic web pages, PDF documents, images, and videos. As a localized browser solution, it can directly handle login-required pages (like LinkedIn) and automatically adapt to modern front-end framework changes.

2. **How does Thunderbit's AI web scraper work?**
   Thunderbit's AI web scraper uses AI to extract structured data from websites. Users can click "AI Suggest Columns" to let AI suggest how to scrape the current site, then click "Scrape" to collect data. It can process data from any website, PDF, or image in just two clicks.

3. **What's the difference between list scraping and subpage scraping?**
   List scraping is optimized for paginated scenarios (like e-commerce product lists), automatically recognizing pagination logic and scraping thousands of data entries. Subpage scraping uses a tree structure collection mode (like Zillow property listings → detail pages → floor plans), automatically establishing main-sub table relationships through semantic association.

4. **Can non-programmers use Thunderbit?**
   Thunderbit features a natural language interaction design: users simply describe their needs, like "name, email, phone," and the system automatically generates a scraping plan. Our test data shows that 85% of users complete their first data collection within 10 minutes, without any web programming knowledge.

5. **What types of data can Thunderbit handle?**
   Thunderbit supports intelligent recognition of many data types:
    - Structured data: tables, lists (e.g., Amazon product specifications)
    - Unstructured data: review text, PDF documents (automatic recognition)
    - Multimodal data: price tags in images, video subtitle extraction
    - Dynamic data: infinite scrolling content, lazy-loading images
    - Related data: cross-page relationship mapping (e.g., LinkedIn contacts → company information)

6. **How to start using Thunderbit?**
   Learn more about our [scraping capabilities](https://thunderbit.com/blog/how-to-scrape-amazon-products-and-reviews) or explore our [template library](https://thunderbit.com/template) to get started immediately.
   
**Learn More:**

- [The Best Web Scraping Tools & Software in 2025](https://thunderbit.com/blog/best-web-scraping-tools)
- [How to Scrape Any Website Using AI](https://thunderbit.com/blog/scrape-any-website-using-ai)
- [How to set up Thunderbit](https://www.youtube.com/watch?v=B1kV6QjngRg)

<BottomCard url={"https://www.thunderbit.com/ai-web-scraper"} title={"Try AI Web Scraper"} />


Discover the evolution of data scraping with AI-driven tools. Learn how modern web scrapers and Chrome extensions enhance data collection efficiency.

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What Is Data Scraping and How to Do It in 2025

Ever been stuck on a webpage with hardly any info, making you click through a bunch of links just to get what you need? It's a real pain, especially since more websites are tucking away important details on subpages. This trend is a hassle for anyone trying to gather data in bulk. Coders end up spending hours writing scripts to dig through these subpages, while non-coders are left clicking through each link manually. But don't sweat it, there are solutions: **list crawling** (also known as bulk scraping) and **subpage scraping**.

## List Crawling and Subpage Scraping at a Glance

<Table content={`| **Tool** | **Ease of Use** | **Data Quality** | **Best Use Case** |
| --- | --- | --- | --- |
| [List Crawling](#what-is-list-crawling) | ★★ | ★★★ | Large-scale websites |
| [Subpage Scraping](#what-is-subpage-scraping) | ★★★★★ | ★★★★ | Lightweight scraping, specific data formats |`} />

## **Understanding List Crawling**

### **What is List Crawling?**

List crawling, or bulk scraping, is a web scraping method that pulls data from a list of URLs. To kick things off, you need a list of URLs, which often means using another crawler to gather them. The success of list crawling really hinges on the quality of this initial list. If the URLs lead to pages with different formats, the results can be all over the place and take a lot of time. This method is great for businesses, researchers, and data analysts who need to scrape a ton of structured and consistent web data. However, the data often needs some manual cleaning and organizing to be truly useful.

### **How It Works**

![list-crawling-python.jpg](https://strapi.thunderbit.com/uploads/list_crawling_python_b4c926ab26.jpg)

The list crawling process usually involves a few steps:

1. **Prepare a URL List**: Start with a list of target webpage URLs.
2. **Send HTTP Requests**: The system sends requests to these URLs to fetch the HTML content.
3. **Extract Data**: Use parsing techniques like BeautifulSoup, XPath, or regular expressions to pull out needed info like text, images, and links.
4. **Store Data**: Organize and store the extracted data in a database or spreadsheet for further analysis.

<SideCard url={"https://thunderbit.com"} title={"Scrape data from any website using AI"} description={""} />

After gathering the data, it's important to clean and analyze it using methods like descriptive statistics, time series analysis, correlation analysis, and clustering. AI can really boost this process, automating tasks and improving data quality. 

Check out the **Bulk Scraping** feature in Thunderbit AI Web Scraper for a smoother experience.

### **Recommended Tools**

1. [**Bulk Scraping in Thunderbit AI Web Scraper**](https://thunderbit.com/)
    - **Pros**: User-friendly, flexible parsing, powerful features
    - **Cons**: Needs local operation and browser dependency
    - **Best For**: High-quality data collection focusing on data quality over quantity
![bulk-scraping-thunderbit.png](https://strapi.thunderbit.com/uploads/bulk_scraping_thunderbit_020c528bfb.png)
2. **Scrapy**
    - **Pros**: Powerful, highly customizable, supports large-scale scraping
    - **Cons**: Steep learning curve, requires programming knowledge
    - **Best For**: Large-scale data collection projects
3. **Beautiful Soup**
    - **Pros**: Easy to use, rich documentation, flexible parsing
    - **Cons**: Average performance, no support for asynchronous operations
    - **Best For**: Small-scale scraping projects, data analysis
4. **Selenium**
    - **Pros**: Supports dynamic pages, can simulate user behavior
    - **Cons**: Slow execution, high resource consumption
    - **Best For**: Handling JavaScript-rendered pages

## **Exploring Subpage Scraping**

![list-crawling-using-ai.jpg](https://strapi.thunderbit.com/uploads/list_crawling_using_ai_c41e70f7e3.jpg)

### **What is Subpage Scraping?**

Subpage scraping is a web scraping method that pulls list data from a single webpage and merges subpage data into a main table. Thunderbit introduced this innovative scraping process using the AI capabilities of its AI Web Scraper tool. It's perfect for handling pages with subpages, like product pages, blogs, and navigation sites. The advantage of subpage scraping is its ability to smartly gather and process info from these subpages, merging it into the main table.

For instance, if you're reading a "Stock Market Today" article and want to grab a list of all the stock quotes, you can use [Thunderbit AI Web Scraper](https://thunderbit.com/). Define your table, and it will automatically extract the quotes and open their real-time pages, merging the data into your main table. This way, you can record accurate info while reading the news. Thunderbit's AI Web Scraper can adapt to different pages, something traditional scraping tools can't do.

### **Why Use It?**

Thunderbit AI Web Scraper is packed with features that boost data collection efficiency and accuracy.

![subpage-scraper.png](https://strapi.thunderbit.com/uploads/subpage_scraper_20a5b5fa43.png)

### **Intelligent Data Extraction**

Thunderbit AI Web Scraper uses AI for smart data extraction, automatically adapting to changes in webpage structure. Users can describe the data they need in plain language, and the system generates the extraction rules. This smart approach not only improves data accuracy but also lowers the technical barrier, making it easy for non-tech users to collect data. Thunderbit supports various data types, including text, links, and images, catering to diverse user needs.

### **Smart Subpage Handling**

Thunderbit shines in subpage processing. It can smartly identify and access subpages, using a single template to handle different layouts. The AI adapts to page structure changes, so users don't have to worry about extracting data from different subpages. Thunderbit automatically merges subpage content into the main table, helping users organize info better. It also excels in data quality, acting like an AI assistant to clean and format data, completing repetitive tasks like labeling.

### **Efficient Data Management**

Thunderbit offers efficient data management features, supporting multiple export formats and platform links (like Google Sheets, Airtable, and Notion). You can link a scraper template to a Google Sheet, organizing collected data in one place, or link it to Notion, organizing data in Notion's Database. These flexible export options allow users to choose the right data storage method for their needs. Custom data labeling and classification can also automatically adapt to management platform data formats, making subsequent data management more efficient.

### **Practical Pre-set Templates**

To boost user efficiency, Thunderbit provides a variety of pre-set templates. These templates cover e-commerce data collection (like [Amazon](https://thunderbit.com/template/amazon-product-scraper), [Amazon Reviews](https://thunderbit.com/template/amazon-reviews-scraper)), real estate information scraping (like [Zillow Properties](https://thunderbit.com/template/zillow-properties-search-scraper)), social media data analysis (like [LinkedIn](https://thunderbit.com/template/linkedin-company-scraper), [Twitter](https://thunderbit.com/template/twitter-profile-posts-scraper)), and business information gathering (like company websites, business directories). These templates save users time and ensure data collection consistency and accuracy.

## **Step-by-Step Implementation**

### **Implementing Subpage Scraping**

![thunderbit-setup.png](https://strapi.thunderbit.com/uploads/thunderbit_setup_4eb2e7c4be.png)

1. [**Install Thunderbit Browser Extension**](https://chromewebstore.google.com/detail/thunderbit-ai-web-scraper/hbkblmodhbmcakopmmfbaopfckopccgp): Open Thunderbit AI Web Scraper and create a new scraper template.
2. **Define Your Main Table Structure**: In the table settings, add fields you want to collect, like title, price, and description. For data from subpages, create corresponding fields and enable subpage scraping.
3. **Run the Scraper**: Thunderbit will first extract list data from the main page, then automatically visit each subpage, extract relevant information, and merge it into the main table. The entire process is AI-driven, with no need for complex coding.

![subpage-scraping-thunderbit.png](https://strapi.thunderbit.com/uploads/subpage_scraping_thunderbit_932a375286.png)

### **Implementing List Crawling**

<VideoPlayer url={"https://www.youtube.com/watch?v=ve_0h4Y8nuI&list=PLhTjy8cBISEqkN-5Ku_kXG4QW33sxQo0t&ab_channel=buildwithpython"} />

For developers, there are various languages and tools to implement list crawling. Python is the most popular due to its simplicity and rich library resources. Here's a basic Python example using the requests and BeautifulSoup libraries to scrape data:

```python
import requests
from bs4 import BeautifulSoup
import pandas as pd

def scrape_urls(urls):
    data = []
    for url in urls:
        response = requests.get(url)
        soup = BeautifulSoup(response.text, 'html.parser')
        titles = soup.find_all('h2', class_='product-title')
        prices = soup.find_all('span', class_='product-price')
        for title, price in zip(titles, prices):
            data.append({
                'title': title.get_text(),
                'price': price.get_text()
            })
    return pd.DataFrame(data)

# Example usage
urls = ['<http://example.com/product1>', '<http://example.com/product2>']
data_frame = scrape_urls(urls)
print(data_frame)
```

## **Conclusion**

In today's world, data is the lifeblood of businesses. Those who can effectively collect and analyze data gain a competitive edge. Data helps companies understand market trends and customer needs, providing crucial insights for product development and marketing strategies. However, efficiently collecting and organizing the vast and scattered data on the internet is a significant challenge.

With tools like Thunderbit, businesses no longer have to worry about data collection. It's like having a reliable assistant that helps you find valuable information from massive data sets, making your decisions more confident. Through its intelligent data collection and processing capabilities, businesses can easily access competitor information, market trends, user reviews, and other key data, leading to smarter business decisions.

Thunderbit not only offers convenient data collection features but also boasts powerful data processing and analysis capabilities. It can automatically clean and structure collected data, generating intuitive reports that help businesses quickly uncover hidden insights. For companies needing to monitor market dynamics regularly, Thunderbit's automated collection feature is a time-saving and efficient choice.

In this data-driven era, having a tool like Thunderbit is incredibly convenient. It significantly enhances data collection efficiency and supports businesses' digital transformation. As data becomes increasingly important in business decisions, intelligent data collection tools like Thunderbit will become indispensable competitive assets for companies.

## **FAQs**

1. **What is Thunderbit?**
[Thunderbit](https://thunderbit.com/) is a Chrome Extension designed to help business users automate web tasks. It offers features like AI Web Scraper, AI Clipboard, and AI Web Chat to scrape data, fill forms, and [summarize websites](https://thunderbit.com/summarize) using AI. It's a productivity tool that saves time and simplifies repetitive online tasks.

2. **How does Thunderbit's AI Web Scraper work?**
Thunderbit's AI Web Scraper uses AI to extract structured data from websites. Users can click "AI Suggest Columns" to let the AI suggest how to scrape the current website, then click "Scrape" to collect the data. It can handle data from any website, PDF, or image in just two clicks.

3. **What is the difference between list crawling and subpage scraping?**
List crawling, or bulk scraping, involves extracting data from a list of URLs, ideal for large-scale websites. Subpage scraping, on the other hand, extracts data from a single webpage and its subpages, merging the information into a main table. Thunderbit's AI Web Scraper excels in both methods, offering intelligent data extraction and management.

4. **Can non-coders use Thunderbit?**
Absolutely! Thunderbit is designed to be user-friendly, even for those without coding skills. Its AI-driven features allow users to describe the data they need in natural language, and the system generates the extraction rules, making it accessible for non-tech users.

5. **What types of data can Thunderbit handle?**
Thunderbit supports various data types, including text, links, and images. It caters to diverse user needs, making it suitable for e-commerce data collection, real estate information scraping, social media data analysis, and business information gathering.

6. **How can I get started with Thunderbit?**
To get started, you can download the Thunderbit Chrome Extension from the [Thunderbit Chrome Extension Download Page](https://chromewebstore.google.com/detail/thunderbit-ai-web-scraper/hbkblmodhbmcakopmmfbaopfckopccgp). Once installed, you can explore its features like AI Web Scraper, AI Clipboard, and AI Web Chat to enhance your web productivity.

7. **Does Thunderbit offer any pre-set templates?**
Yes, Thunderbit provides a variety of pre-set [templates](https://thunderbit.com/template/) to boost user efficiency. These templates cover areas like e-commerce, real estate, social media, and business information, saving users time and ensuring consistent and accurate data collection.

8. **How does Thunderbit ensure data quality?**
Thunderbit uses AI to intelligently extract and process data, automatically adapting to changes in webpage structure. It also offers features for data cleaning and formatting, acting like an AI assistant to complete repetitive tasks and improve data quality.

9. **Web Scraping Use Cases**
When it comes to [web scraping tools](https://thunderbit.com/blog/best-web-scraping-tools), there are many practical applications. For example, you can [scrape Amazon products and reviews](https://thunderbit.com/blog/how-to-scrape-amazon-products-and-reviews) for market research, or [extract data from PDFs](https://thunderbit.com/blog/scrape-data-from-pdf-using-ai) for document analysis.
Many businesses need to [collect data from websites into Excel](https://thunderbit.com/blog/scraping-data-from-website-to-excel) for analysis. With AI-powered tools, you can now [scrape any website efficiently](https://thunderbit.com/blog/scrape-any-website-using-ai) without writing complex code.
For social media analysis, you might want to use specialized tools like [email scrapers](https://thunderbit.com/blog/best-email-scrapers) or [Twitter scrapers](https://thunderbit.com/blog/best-twitter-scrapers) to gather relevant data for your marketing campaigns.

**Learn More:**

- [The Best Web Scraping Tools & Software in 2025](https://thunderbit.com/blog/best-web-scraping-tools)
- [How to Scrape Any Website Using AI](https://thunderbit.com/blog/scrape-any-website-using-ai)
- [How to set up Thunderbit](https://www.youtube.com/watch?v=B1kV6QjngRg)

<BottomCard url={"https://thunderbit.com"} title={"Try AI Web Scraper"} />


Discover the power of list crawling for efficient data collection and meet subpage scraper for smart data extraction.

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What Is List Crawling and How to Do It Using AI

Discover how an Amazon Web Scraper can help you efficiently scrape Amazon product data and reviews for market research. Optimize your e-commerce strategy today.

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How To Scrape Amazon Products and Reviews in 2025 using AI

Let's jump into the world of web scraping—a term that might sound a bit techy but is actually super practical. In simple terms, web scraping is all about pulling the info you need from websites, like real estate listings, product prices, or even social media comments, and organizing it into Excel for easy viewing and analysis.

Sure, you could manually copy and paste data, but imagine doing that for hundreds or thousands of entries. That's where efficiency takes a nosedive. Instead, why not let AI tools handle the heavy lifting? Today, we'll introduce you to [**Thunderbit**](https://thunderbit.com/), an AI tool that makes this task a breeze.

## **What is Web Scraping?**

**Web scraping** is a technique for pulling data from websites. Whether you're looking to gather product details from an e-commerce site or rental data from a real estate platform, web scraping can automate these tasks, organizing the data into spreadsheets that you can easily import into Excel.

Traditionally, there are two main approaches to web scraping. The first is coding-based, which can be tough if you're not a programmer. The second involves no-code web scrapers like [Bardeen AI Pricing](https://www.bardeen.ai/pricing), which can be tricky to set up. These tools often have templates for popular sites like [Amazon.com](http://amazon.com/), but in real-world scenarios, you might need to scrape data from a variety of unique sites, such as directories or Shopify stores. For these complex and varied websites, using AI for web scraping is a smarter choice.

## **Why Use AI to Scrape Website Data?**

Using AI to scrape website data is a smarter and more efficient method. AI tools can automatically recognize data structures and patterns on web pages. They work by reading the site and directly outputting structured data, allowing them to handle dynamic content and adapt to changes in web layouts, delivering accurate results quickly. Plus, these tools require no technical background—just a few clicks, and you can import the scraped data directly into Excel, Notion, or Airtable for further analysis and use. [**Thunderbit**](https://thunderbit.com/) is one such AI web scraper, and we'll explore its features and how to use it.

## **Introducing Thunderbit - The AI Web Scraper**

<SideCard url={"https://thunderbit.com/"} title={"Scrape data from any website using AI"} description={""} />

Meet our star of the day: [**Thunderbit**](https://thunderbit.com/). It's a smart **AI Web Scraper** that can handle both popular sites with pre-built scrapers and more complex sites with **Custom Instructions**, catering to various needs.

- **Pre-built Web Scraper**
[Thunderbit](https://thunderbit.com/) offers pre-built web scrapers specifically designed to extract data from popular sites like [Amazon](https://www.amazon.com/), [Zillow](https://www.zillow.com/), and [Twitter](https://x.com/). Just select a template, and with a couple of clicks, you can scrape website data into Excel.

![scrape_amazon_template.gif](https://strapi.thunderbit.com/uploads/scrape_amazon_template_eeeab4dda1.gif)


- **Custom Instructions**

For more complex websites, you can use Thunderbit's **Column Detailed Instructions** feature to specify exactly what you want to scrape. For example, if you only need the city and state from an address, you can add detailed instructions like "I just need the City and State. For example, San Francisco, CA," and the exported data will match your requirements.
![custom_instruction.gif](https://strapi.thunderbit.com/uploads/custom_instruction_972ee93c45.gif)
## **The Step-by-Step Guide to Scrape Data from Website to Excel**

### **Scraping Popular Sites (Amazon, Zillow, Twitter, Instagram, etc.)**

Here's how to use [Thunderbit](https://thunderbit.com/) to scrape data from websites and export it to Excel.

1. **How to Set Up Thunderbit**

Visit the [Thunderbit](https://thunderbit.com/) website and add it as a Chrome extension.

![set_up_thunderbit.png](https://strapi.thunderbit.com/uploads/set_up_thunderbit_02bcbc6e28.png)

2. **Scrape**

Open the website you want to scrape, like [Amazon](https://www.amazon.com/) or [Zillow](https://www.zillow.com/). The pre-built template will automatically pop up, and you just need to click "Scrape." The AI will identify useful information on the page, such as product prices and names.

![one_click_scrape.gif](https://strapi.thunderbit.com/uploads/one_click_scrape_0b7bbacaa3.gif)

3. **Choose Your Output Format**

After scraping, choose your export format, like Excel, to organize the data easily. You can also copy and paste it into Google Sheets.
![export_format.gif](https://strapi.thunderbit.com/uploads/export_format_6a191dad36.gif)

### **Scraping Any Website**

What if the site you want to scrape isn't in the template list? No worries, use [Thunderbit](https://thunderbit.com/)'s **Custom Instructions** feature for flexible adjustments:

1. **Set up AI Scraper Template**

Click "AI Suggest Columns," and the AI will read the entire site and automatically extract columns like product prices, descriptions, and reviews.
![set_up_AI_scraper.png](https://strapi.thunderbit.com/uploads/set_up_AI_scraper_4effb34387.png)

If you're not satisfied with the AI-generated column names, you can customize each column's data format, such as numbers, dates, text, single or multiple selections.
![customize_each_column.png](https://strapi.thunderbit.com/uploads/customize_each_column_8bce096b92.png)

Additionally, click "Add column detailed instruction" to provide more descriptions, ensuring the AI accurately captures your needs. For instance, input "I just need the City and State. For example, San Francisco, CA," and the exported data will be in the desired format.
![add_column_detailed_instrcution.png](https://strapi.thunderbit.com/uploads/add_column_detailed_instrcution_0c129b1ed0.png)

2. **Connect to Your Table**

Once the data is scraped, click "Download CSV" to import it directly into Excel. Alternatively, choose "Save to…" to sync the results with Notion, Airtable, Google Sheets, and other tools for easy access.
![connect_to_your_table.png](https://strapi.thunderbit.com/uploads/connect_to_your_table_aec4585fb1.png)
![connect_to_your_accounts.png](https://strapi.thunderbit.com/uploads/connect_to_your_accounts_6c61482f7e.png)

## **Use Cases for Thunderbit**

### **Leads Gen**

Suppose you work for an educational software company and need to find contact information for college professors to promote your product. Faculty websites often lack templates, making Thunderbit's automatic scraping feature ideal. In just two steps, you can scrape data from websites into Excel, assisting with lead generation. Here's an example of extracting professor information:

1. **Scrape UC Berkeley Faculty List with Thunderbit:** Open the page you want to scrape and launch Thunderbit. When you click "AI Suggest Column," the AI will read the webpage and automatically identify the columns you need, such as professor names, emails, and research areas.
2. **Export Data:** Click "Scrape," and Thunderbit will extract data based on the set column names. Click "Download CSV" to import the data directly into Excel, or copy and paste it into your Google Sheet.

![scrape_leads_gen.gif](https://strapi.thunderbit.com/uploads/scrape_leads_gen_0f30dd2642.gif)

### **e-Commerce**

E-commerce sellers need to monitor competitors' prices and product details in real-time. Scrape product information from [Amazon](https://www.amazon.com/) or [Shopify](https://www.shopify.com/) stores, including prices, stock, and ratings, to quickly analyze market trends. In e-commerce, there are two use cases: large shopping platforms like Amazon, where you can use pre-built templates for one-click extraction, and diverse Shopify stores, where you can use **Custom Instructions**.

- **Amazon**

Open the [Amazon.com](http://amazon.com/) website, click on the product page you want to scrape, and the pre-built template icon will automatically pop up, including Amazon SKU details scraper and Amazon SKU reviews scraper. Choose the type you want to scrape and click "Scrape."
![scrape_amazon_template.gif](https://strapi.thunderbit.com/uploads/scrape_amazon_template_eeeab4dda1.gif)

- **Shopify Stores**

For Shopify stores with varied web interfaces, use the AI-driven **Custom Instructions** feature. Open the Shopify store page you're interested in, click the Thunderbit plugin icon in the top right corner, launch Thunderbit, then click "AI Suggest Column." The AI will automatically identify the data you need: product names, prices, reviews, etc.

Then click "Scrape" to import the data into Excel. You can also choose "Copy with headers" or "Copy without headers" to paste the data directly into your Excel.

![scrape_shopify.gif](https://strapi.thunderbit.com/uploads/scrape_shopify_18586fc7ca.gif)
### **Real Estate**

If you're a real estate agent or investor, you need to organize property listings from different areas. For popular real estate sites like Zillow, you can use pre-built templates for one-click data extraction. For real estate company websites like [Equity Apartments](https://www.equityapartments.com/), you can choose the **Custom Instructions** feature.

- **Zillow**

Thunderbit has created pre-built templates for major popular sites, with rich column names like City, State, Pricing, Address, etc. The data table is detailed. Use Thunderbit's pre-built template to scrape Zillow's property data and organize it into an Excel spreadsheet, clear and efficient. As shown in the picture, you just need to open [Zillow](https://www.zillow.com/), search for the information you want to scrape, and Thunderbit will automatically pop up the "Use Pre-built template" knowledge box. Click confirm, and you'll generate rich data.
![scrape_zillow_template.gif](https://strapi.thunderbit.com/uploads/scrape_zillow_template_4e829d4e2c.gif)

- **Equity Apartments**

Real estate company websites often update the latest listings, but each company's website is different, and there may only be dozens of listings. In this case, you can't use traditional web scrapers to scrape this data because the time it takes to set up a web scraper is longer than just copying and pasting it into Excel. So, the AI Web Scraper is the best tool, allowing you to scrape listings from the website with just two clicks.

1. **AI Selects Data Names to Scrape:** Open the website you need to scrape, click AI Web Scraper, then click AI Suggest Columns. The AI will read the entire page and generate suggested column names like Apartment Name, Address, Phone Number, etc.
![scrape_equity_apartments.gif](https://strapi.thunderbit.com/uploads/scrape_equity_apartments_c5713651d9.gif)


2. **Click Scrape:** Once the columns are set, click "Scrape." After the data is generated, click "Download CSV" to open the data in Excel. You can also choose "Copy with headers" or "Copy without headers" to paste the data directly into your Excel.

## **Tips for Using Thunderbit**

Here are some tips to help you use [Thunderbit](https://thunderbit.com/)  more efficiently:

- **AI Suggest Columns**

Want to scrape a webpage without a template but don't know how to categorize the data? No problem, leave it to AI Suggest Columns. Open the webpage you want to scrape, click AI Web Scraper, and click AI Suggest Columns. Thunderbit will read the entire page and automatically recommend possible data columns like price, date, and address, reducing the hassle of manual setup.

If you're not satisfied with the AI Suggest Columns output, you can manually modify the data columns, such as changing column names and adjusting the reading format. The data format can be numbers, text, single or multiple selections, or images. You can also add column detail instructions, input commands, and tell the AI your specific needs. It will extract the data you want based on your requirements.

- **Integrate with Notion, Airtable, Google Sheet**

Exported data can be copied with headers or without headers, allowing you to paste the data into Excel. Additionally, Thunderbit can collaborate with other tools, seamlessly syncing scraped data with productivity tools like Notion and Airtable, making it ideal for long-term projects or team collaboration.

Exported data can also be opened directly in Google Sheets for your personal use.

- **Scrape PDF**

Besides regular web data, [Thunderbit](https://thunderbit.com/)  can also recognize PDF files on the web. PDF files may look neat but actually contain various forms of data, such as text, tables, and images. Using a traditional PDF scraper can be complex. But with Thunderbit, extracting data from PDFs becomes easy. As mentioned in my article [**How to Scrape Data from PDF using AI**](https://thunderbit.com/blog/scrape-data-from-pdf-using-ai/), you can also use Thunderbit to scrape data from PDFs on the web into Excel.

Don't stress over tedious manual data organization anymore. Whether it's popular sites like Amazon and Zillow or any niche site you want to scrape, leave it to [Thunderbit](https://thunderbit.com/) . This AI tool can help you effortlessly complete all your "scrape website data into Excel" needs. Give it a try, and you'll find that data scraping has never been so simple and efficient.

<TryButton url={"https://thunderbit.com/"} title={"Try Thunderbit AI Web Scraper"} />

## **FAQs**

1. **Can I scrape data from any website using Thunderbit?**

Yes, Thunderbit allows users to scrape data from any website by using its custom instructions feature. Users can specify exactly what data they want to extract, and the AI will generate the necessary output accordingly.

2. **What types of data can I scrape using Thunderbit?**

You can scrape various types of data, including product names, prices, descriptions, contact information, and more. Thunderbit's AI can suggest relevant columns based on the content of the website being scraped.

3. **How can I export the scraped data?**

After scraping, you can easily export the data in formats such as CSV or directly into Excel. Thunderbit also allows you to sync the scraped data with tools like Notion or Airtable for further analysis.

4. **Do I need programming skills to use web scraping tools?**

Most of the tools featured here do not require programming skills, but tools like Octoparse and Web Scraper may benefit from users having basic knowledge of web structures and a programming mindset for optimal use.

5. **What are some use cases for web scraping with Thunderbit?**

Common use cases include lead generation (e.g., extracting faculty information from university websites), eCommerce price monitoring (e.g., tracking competitors on Amazon), and real estate data collection (e.g., gathering property listings from Zillow).

**Learn More**

- [**How to Scrape Any Website Using AI**](https://thunderbit.com/blog/scrape-any-website-using-ai/)
- [**The Best Email Scrapers in 2025**](https://thunderbit.com/blog/best-email-scrapers/)
- [**How to Scrape Data from PDF using AI**](https://thunderbit.com/blog/scrape-data-from-pdf-using-ai/)
- [**The Best Web Scraping Tools & Software in 2025**](https://thunderbit.com/blog/best-web-scraping-tools/)
- [**The Easiest Way to Scrape Website to Excel**](https://thunderbit.com/blog/scraping-data-from-website-to-excel/)

<BottomCard url={"https://www.thunderbit.com/"} title={"Try AI Web Scraper"} />


Learn how to scrape website data into Excel using AI tools like Thunderbit. Automate data extraction for efficient analysis and organization.

excel.avif

scrape-website-data-into-excel

How to Scrape Website Data into Excel using AI

Did you know it's been over [500 days](https://www.cbsnews.com/news/twitter-rebrand-x-name-change-elon-musk-what-it-means/) since Twitter switched over to [X.com](http://x.com/)? Some folks think Elon Musk has made Twitter worse, and people are jumping ship.
<SideCard url={"https://thunderbit.com/"} title={"Explore AI Twitter Scraper"} description={""} />
But the truth is, there are still over [245 million](https://backlinko.com/twitter-users) daily active users in 2025, keeping it among the top social media platforms worldwide. So, don't sweat it too much. The massive amount of data on Twitter still holds significant value for lead generation and keeping tabs on user interests. Let's dive into how you can use Twitter scrapers to gather valuable data from Twitter to boost your marketing efforts and find the [best tool](https://thunderbit.com/blog/best-web-scraping-tools/) for you.

## What is a Twitter Scraper?

A Twitter scraper is an automated tool that helps you pull data from Twitter, including user profiles, posts, hashtags, search results, and more. It saves you time and effort by cutting out the need for manual copying and pasting. With a Twitter scraper, you can collect all the data you need in a structured format and save it in your spreadsheet.

![What_is_a_Twitter Scraper.gif](https://strapi.thunderbit.com/uploads/What_is_a_Twitter_Scraper_515c74aaa1.gif)

## The Best Twitter Scrapers at a Glance

<Table content={`|  | **Ease of Use** | **Key Features** | **Best For** |
| --- | --- | --- | --- |
| **Thunderbit** | ★★★★★ | **One-click** **data extraction**, [**AI Twitter Scraper**](https://thunderbit.com/), automatic data formatting | Users needing quick, frequent Twitter data extraction |
| **Octoparse** | ★★☆☆☆ | Visual interface, **cloud services**, pre-set templates | Users needing large-scale data extraction with complex requirements |
| **Magical** | ★★★★★ | One-click data extraction, **multi-platform integration** support | Users needing simple, fast data collection |
| **PhantomBuster** | ★★★★☆ | No coding required, **social media platform automation** | Users needing flexible, automated social media data extraction |
| **Bardeen** | ★★★☆☆ | Strong **automation**, app integration, task scheduling | Users needing workflow automation and real-time monitoring |
| **Apify** | ★☆☆☆☆ | **API access**, customizable scraping, multi-language support | Developers needing highly customizable data extraction |`} />

## Best Example of Using AI Twitter Scraper

Curious about the new [**AI Twitter Scraper**](https://thunderbit.com/)? Let's explore some amazing features by scraping [Elon Musk](https://x.com/elonmusk)'s personal tweets.

1. **AI Suggests Columns or Describes Your Needs**

![AI_Suggest_Columns.gif](https://strapi.thunderbit.com/uploads/AI_Suggest_Columns_4867541a46.gif)

    > Tip: Elon Musk doesn't like adding hashtags to his posts, but AI can automatically categorize them for you.

2. **Link Output Results to Your Platform**

![Data_Output_Integrations.gif](https://strapi.thunderbit.com/uploads/Data_Output_Integrations_18c17b844a.gif)
  
    > Tip: Thunderbit will automatically create data tables on your platform, so you don't have to switch between apps.

3. **[Scrape Any Webpage](https://thunderbit.com/blog/scrape-any-website-using-ai/) Without Changing Your Template**

![Scrape_Jovanotti_with_the_Same_Template.gif](https://strapi.thunderbit.com/uploads/Scrape_Jovanotti_with_the_Same_Template_de22eb334f.gif)

    > Tip: If you want to scrape [**Jovanotti**](https://x.com/lorenzojova) in English, AI will translate them if you specify your desired language.

## The 6 Best Twitter Scrapers in 2025

### [**Thunderbit**](https://thunderbit.com/)

![Thunderbit_Scraper.gif](https://strapi.thunderbit.com/uploads/Thunderbit_Scraper_e3e9a8de52.gif)

**Pros:**

- User-friendly interface with automatic webpage content detection
- Fast data extraction with one-click export to spreadsheets
- Supports multiple data formats for export
- Customizable scraping with [AI Twitter Scraper](https://thunderbit.com/)

**Cons:**

- Requires a browser that supports [Chrome extensions](https://chromewebstore.google.com/detail/thunderbit-ai-web-scraper/hbkblmodhbmcakopmmfbaopfckopccgp)
- AI features rely on cloud models, which may take longer to process

Thunderbit is a powerful [web automation tool](https://thunderbit.com/) with efficient **pre-built templates** for Twitter, perfect for users who need frequent Twitter data extraction. The [AI Twitter Scraper](https://thunderbit.com/) simplifies data cleaning and processing, reformatting data on the go, including summarizing, categorizing, and translating it to the required format.

To maximize efficiency, use Thunderbit's **one-click extraction** feature to significantly boost productivity. Setting up data export links can also save you from tedious manual operations. Once you get used to it, you'll love the simplicity of scraping with Thunderbit.

Additionally, with its [**AI Web Scraper**](https://thunderbit.com/), you can easily grab data from any website without complicated setup. This is a great help for businesses and individuals who want to streamline their work. Plus, Thunderbit offers features like [**AI Autofill**](https://thunderbit.com/ai-autofill), which automatically fills out forms on sites like Greenhouse and Lever, reducing manual errors.

**Pricing:** Thunderbit offers various [subscription plans](https://thunderbit.com/pricing) starting at $9 per month.

**Learn how to use Thunderbit for Twitter data extraction:**

<VideoPlayer url={"https://www.youtube.com/watch?v=m4RMdPiZ_GU&ab_channel=Thunderbit"} />

### **Octoparse**

![Octoparse_Overview.png](https://strapi.thunderbit.com/uploads/Octoparse_Overview_e56dd2be54.png)

**Pros:**

- Rich template support
- Visual interface
- Cloud services

**Cons:**

- Advanced features require payment
- Steep learning curve

Octoparse is a flexible and powerful [web scraping tool](https://thunderbit.com/blog/best-web-scraping-tools/), ideal for users needing to extract large amounts of data from Twitter. It offers various pre-set templates, like Twitter Scraper, to help users quickly set up scraping tasks, especially for complex web pages. It mimics human browsing, navigating sites smoothly and bypassing anti-scraping measures.

To maximize efficiency, use Octoparse's cloud services for large-scale data extraction without using local resources. This also helps avoid Twitter account bans, which can be a significant loss.

However, when scraping emails, remember the ethical and legal aspects. Ensure compliance with privacy laws like GDPR or CAN-SPAM. While it offers rich templates, some complex scraping needs may still require custom services.

**Pricing:** Octoparse's standard version costs $99 per month, and the professional version is $249 per month.

### **Magical**

![Magical_Interface.png](https://strapi.thunderbit.com/uploads/Magical_Interface_8268d0f667.png)
**Pros:**

- Simple operation
- Easy integration with other tools

**Cons:**

- Supports only specific platforms
- Limited functionality

Magical is an extremely simple [web data scraping tool](https://thunderbit.com/blog/best-web-scraping-tools/), perfect for users who frequently need Twitter information. With just one click, you can extract the data you need from Twitter, making it ideal for businesses looking to quickly gather market trends and user feedback. Magical not only scrapes data but also helps users analyze and organize information for easier understanding and use.

The core feature of this tool is its minimalist automation and diverse app integration. Magical can automatically import scraped data into Google Sheets, saving you from manual input. It supports various app integrations, allowing users to easily share data with other platforms, further enhancing productivity.

When using Magical, be sure to follow Twitter's terms of service to avoid account bans. While Magical is very user-friendly, users should still assess and filter data quality to ensure the information is beneficial for business.

**Pricing:** Magical offers a free trial, then charges $6.5 per month.

### **PhantomBuster**

![PhantomBuster_Features.png](https://strapi.thunderbit.com/uploads/Phantom_Buster_Features_572ed91108.png)
**Pros:**

- No coding knowledge required
- Multiple social media integrations
- High flexibility

**Cons:**

- Data limitations
- Higher price

PhantomBuster is a tool focused on automating social media data scraping, ideal for users needing to extract various information from social media. With features like [**Twitter Media Extractor**](https://phantombuster.com/automations/twitter/8835/twitter-media-extractor), you can scrape images, GIFs, and videos from Twitter accounts, helping you monitor competitors, analyze trending content, and gain Twitter insights.

PhantomBuster's core feature is its powerful automation. Users need to provide Twitter cookies and search criteria to automatically extract tweet links, dates, and more, downloading them as CSV or JSON files. PhantomBuster supports setting up automatic repeat tasks, ensuring you always get the latest data without manual operation. This automated process greatly simplifies data collection and analysis.

However, when using PhantomBuster, ensure your Twitter cookies are valid to maintain data accuracy. While PhantomBuster is powerful, follow Twitter's usage policies to avoid excessive scraping that could lead to account restrictions. Some advanced features may require a paid subscription, so choose the right plan based on your needs.

**Pricing:** PhantomBuster charges $56 per month, with various packages available.

### **Bardeen AI**

![Bardeen_Automation.gif](https://strapi.thunderbit.com/uploads/Bardeen_Automation_3d41f8df7d.gif)
**Pros:**

- Powerful automation features
- Seamless integration with various tools

**Cons:**

- Steep learning curve
- Higher price

Bardeen AI is a no-code [automation tool](https://thunderbit.com/blog/best-web-scraping-tools/) designed to streamline workflows by connecting various apps. They offer ready-to-use automation templates for Twitter, helping you quickly gather specific information and save it to Google Sheets. They also support scheduled task repetition, which is a great convenience for users needing real-time social media monitoring. To enhance productivity, use Bardeen's Playbook feature to set up multiple tasks at once for batch processing.

Although Bardeen AI emphasizes AI features in their 2.0 version, the AI performance is not as impressive. They incorporate natural language processing into automation setup, but this doesn't change the tool's steep learning curve and limited applicability. If you're looking for a scraper that doesn't require any templates to [scrape any website](https://thunderbit.com/blog/scrape-any-website-using-ai/), try [Thunderbit AI Web Scraper](https://thunderbit.com/), and you'll be pleasantly surprised.

**Pricing:** Bardeen offers a paid version starting at $30 per month.

### **Apify**

![Apify_Twitter_Scraper.png](https://strapi.thunderbit.com/uploads/Apify_Twitter_Scraper_6f426d1f2e.png)
**Pros:**

- API access
- Flexible data extraction options
- Multiple output formats

**Cons:**

- Requires professional programming skills
- Unstable output results

Apify is a powerful web scraping platform with a range of scraper templates like [Tweet Scraper V2](https://apify.com/apidojo/tweet-scraper). Tweet Scraper V2 is an efficient Twitter data extraction tool designed for users needing large amounts of Twitter data. It supports API access, allowing developers to customize data extraction according to their needs. The core feature of this tool is its powerful query wizard and diverse filtering options. Users can create queries with complex search terms and extract data based on various conditions like time and location. Additionally, Tweet Scraper supports multiple languages, meeting global user needs and providing detailed user information for in-depth analysis.

There are also some limitations to consider when using Apify. First, the scraper's effectiveness is not guaranteed, as some templates do not support real-time monitoring and can only retrieve historical tweet data. When using Apify's scraper, familiarize yourself with its documentation and examples to better understand how to configure and run scraping tasks for optimal results.

**Pricing:** Apify offers PAYG and subscription plans starting at $49 per month.

## How to Choose the Right Twitter Scraper?

![Choosing_Right_Scraper.png](https://strapi.thunderbit.com/uploads/Choosing_Right_Scraper_ccdc8260c0.png)

Choosing the right Twitter scraper depends on your specific needs and technical expertise. Here are some factors to consider:

- **Ease of Use**: If you're not tech-savvy, opt for tools like [**Thunderbit**](https://thunderbit.com/) or [**Magical**](https://www.getmagical.com/pricing), which offer user-friendly interfaces and require minimal setup.
- **Features**: Consider what features are most important to you. For example, if you need advanced automation and integration capabilities, [**Thunderbit**](https://thunderbit.com/) or [**Bardeen AI**](https://www.bardeen.ai/pricing) might be suitable.
- **Budget**: Evaluate your budget and compare the pricing plans. [**Magical**](https://www.getmagical.com/pricing) and [**Thunderbit**](https://thunderbit.com/pricing/) offer more affordable options, while [**Octoparse**](https://www.octoparse.com/pricing) and [**Apify**](https://apify.com/pricing) provide more comprehensive features at a higher cost.
- **Technical Skills**: If you have programming skills, [**Apify**](https://apify.com/pricing) provides API access for more customized scraping solutions. For non-programmers, [**Thunderbit**](https://thunderbit.com/) and [**PhantomBuster**](https://phantombuster.com/pricing) offer no-code options.
- **Data Volume**: If you need to scrape large volumes of data, tools like [**Octoparse**](https://www.octoparse.com/pricing) and [**Apify**](https://apify.com/pricing) offer robust solutions with cloud services to handle extensive data extraction.

## Benefits of Using Twitter Scrapers

Twitter data is a treasure trove for businesses wanting to level up their marketing strategies. Imagine having instant access to trends, influencers, and conversations happening around your niche. With a [Twitter scraper](https://thunderbit.com/), you can spot what people are talking about, what they’re into, and even who’s influencing their choices. These insights let you create campaigns that truly resonate with your target audience, boosting engagement and brand loyalty. Plus, tools like sentiment analysis help you understand how people feel about your products or services, so you can tweak your approach based on real-time feedback.

Another perk? Finding and connecting with potential leads becomes much easier. By analyzing interactions and engagement patterns, you can focus on the prospects most likely to convert. Twitter data also keeps you in the loop on industry trends and competitor actions, helping you stay ahead of the game and refine your strategy as needed. It’s all about working smarter, not harder.

## How to Use a Twitter Scraper to Drive Sales

![Twitter_Scraper_to_Drive_Sales.png](https://strapi.thunderbit.com/uploads/Twitter_Scraper_to_Drive_Sales_4028cab3e3.png)

Using a [Twitter scraper](https://thunderbit.com/) might sound technical, but it’s vital for affiliate marketing and social selling. Start by identifying key metrics aligned with your goals, such as trending topics, influencer activities, and engagement rates. Analyze the data to uncover opportunities—like identifying prospects showing interest in your niche—and tailor your affiliate offerings or social selling strategies accordingly.

Once you’ve got the data, it’s all about making it work for you. Find potential customers (a.k.a. prospects) who are already interested in what you’re offering, and craft messages that show how you solve their problems or add value to their lives. And team up with influencers who can vouch for your product and get your brand in front of their followers.

Keep an eye on the trends and tweak your strategy as you go. This way, you’re not just selling—you’re building real connections and creating a loyal community around your brand.

## FAQs

1. **Is it legal to scrape Twitter data?**

    Scraping Twitter data can be legal if done in compliance with Twitter's terms of service and data privacy laws. Always ensure you have permission to scrape data and respect user privacy.

2. **Why not use the official Twitter API?**

    The official Twitter API is a powerful tool for accessing Twitter data, but it has limitations such as rate limits and access restrictions. Scrapers can offer more flexibility and ease of use for certain tasks.

3. **What can I do with Twitter data?**

    Twitter data can be used for various purposes, including market research, sentiment analysis, trend monitoring, and lead generation. It provides valuable insights into user behavior and public opinion.

4. **Can I scrape other social media platforms like Twitter?**

    Yes, many tools like Thunderbit that scrape Twitter can also be used to scrape data from other social media platforms, such as Facebook, Instagram, and LinkedIn.

**Learn More:**

- [The Best Web Scraping Tools & Software in 2025](https://thunderbit.com/blog/best-web-scraping-tools)
- [How to Scrape Any Website Using AI](https://thunderbit.com/blog/scrape-any-website-using-ai)
- [How to set up Thunderbit](https://www.youtube.com/watch?v=B1kV6QjngRg)

<BottomCard url={"https://thunderbit.com/"} title={"Try AI Web Scraper"} />


We compared the best Twitter scrapers for 2025. Discover how these tools can enhance your marketing by extracting valuable data from Twitter. 

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6 Best Twitter (x.com) Scrapers in 2025

Ever been handed a stack of PDF files by your manager, tasked with pulling out data that's perfectly formatted and accurate? Doing this manually is a sure way to end up working late. Extracting data from PDFs can be a real pain because, unlike web data, PDFs often have inconsistent formatting. Some PDFs have tables, others are just images or scanned documents, making direct extraction quite tricky.

<SideCard url={"https://thunderbit.com/"} title={"Scrape data from any website using AI"} description={""} />
For example, if you want to extract email addresses from a PDF, some might be in image format, while others are hidden in complex character encodings. Take this example: **\{john.doe,jane.doe\}@example.com**. This actually represents two separate emails: **john.doe@example.com** and **jane.doe@example.com**. And then there's **\{first.last\}@example.com**, where you replace "first" and "last" with the author's first and last names, respectively. Traditional text recognition tools just won't cut it here. That's where a handy tool, the **PDF Scraper**, comes in to save the day.

## What is a PDF Scraper

A **PDF Scraper** is a cool tool that automatically extracts data from PDF files, converting content like tables and text into formats you need, such as **Excel**, **CSV**, or **JSON**. In simple terms, it turns tedious copy-pasting tasks into a one-click solution.

Imagine having a pile of invoices, contracts, academic papers, or even scanned PDFs that would take hours to manually transcribe. With a PDF Scraper, you just upload the file, and within seconds, the data is extracted, saving you time and effort while ensuring accuracy. Say goodbye to manual data entry hassles.

If your PDF contains various data types like tables, links, and images, let an AI PDF Scraper handle it. AI PDF Scrapers use large language models (LLM) that can process text, images, and tables simultaneously, providing impressive results.

The advantages of an AI PDF Scraper go beyond efficiency and accuracy; its adaptability makes it a stress-free choice. Whether dealing with scanned documents, images, or multilingual PDFs, AI handles it all with ease. There are many great AI tools available, like [**Thunderbit**](https://thunderbit.com/), [**ChatGPT**](https://openai.com/index/chatgpt/), and [**ChatPDF**](https://www.chatpdf.com/), each with unique features to meet different needs. Whether you need to quickly extract data or analyze complex documents, choosing the right tool can make your work easier and more efficient.

## How to Choose the Right PDF Scraper

Choosing a PDF Scraper is like buying a car; the best one is the one that suits your needs. Here are some points to consider:

<Table content={`| **Feature** | **Description** |
| --- | --- |
| **Accuracy and Stability** | Check if the tool extracts data accurately, especially for critical information. |
| **Output Formats** | Ensure the tool supports the output formats you need, like Excel, CSV, or JSON. |
| **Integration with Other Tools** | If you need to connect with your company's systems, check for seamless integration support. |
| **User-Friendly Interface** | A user-friendly tool is better for general users, while more complex tools might suit tech teams. |`} />

Different tools have their strengths, and choosing the right one can significantly boost your productivity. Here are three popular PDF Scrapers, each with its own features for different needs:

<Table content={`| **Tool** | **Pros** | **Cons** |
| --- | --- | --- |
| [**Thunderbit**](https://thunderbit.com/) | Fast extraction; easy to use as a browser extension; great for team collaboration | Limited data processing scale |
| **ChatPDF** | Easy to use, chat-style data extraction | Less accurate with complex files |
| **ChatGPT** | Flexible with complex semantics, wide applicability | Requires manual prompt input each time |`} />

## Getting Started with AI PDF Scraper

### Thunderbit

<VideoPlayer url={"https://www.youtube.com/shorts/soyVQH7Neg8"} />

Want to quickly extract data from PDFs without spending too much time and effort? Thunderbit is the tool for you. It's simple to use, and with just a click, you can get everything done. Follow these steps to easily convert complex PDF data into the format you need, boosting your efficiency significantly:

1. **Add Thunderbit to Chrome and Sign Up**:

    Visit the [Thunderbit Official Website](https://thunderbit.com/) and add the [Thunderbit](https://thunderbit.com/) extension to your Chrome browser. Sign up using your Google account or another email.
![ai_web_scraper.png](https://strapi.thunderbit.com/uploads/ai_web_scraper_73f30336ee.png)

2. **Open the PDF in Chrome**:

    Open the PDF file you want to extract data from in Chrome and click the Thunderbit icon in the top right corner.
![launch_thunderbit.png](https://strapi.thunderbit.com/uploads/launch_thunderbit_12dd08bdbf.png)

3. **Click AI Web Scraper**:

    Select [AI Web Scraper](https://thunderbit.com/) to start extracting data.

![launch_ai_web_scraper.png](https://strapi.thunderbit.com/uploads/launch_ai_web_scraper_1bcda59bdc.png)
4. **Choose Output Format and Export**:
    After selecting AI Suggest Columns, you can filter or adjust the data as needed. Then, choose your desired export format (CSV, Google Sheets, Airtable, or Notion) and click **Scrape** to export the data.
![export_format.gif](https://strapi.thunderbit.com/uploads/export_format_d38f000b02.gif)
The exported data can be directly connected to [Notion](https://www.notion.so/), [Airtable](https://www.airtable.com/), or [Google Sheets](https://workspace.google.com/products/sheets/) for easy team collaboration.

Thunderbit is a straightforward PDF data extraction tool that allows you to quickly extract the data you need from PDF files and convert it into a usable format. Whether for personal use or team collaboration, Thunderbit can significantly enhance your productivity, making data extraction easier and more convenient.

### ChatPDF

<VideoPlayer url={"https://www.youtube.com/watch?v=iZHv-FY6EJc"} />

If you need to process PDFs in bulk and only want to extract specific key information rather than complete data, [ChatPDF](https://www.chatpdf.com/) is a great helper. It allows you to extract data in a conversational manner, making it suitable for beginners.

Here's how to extract PDF data using ChatPDF:

1. **Visit the ChatPDF Website:** Open the [ChatPDF](https://www.chatpdf.com/) website or related platform page.
2. **Upload PDF Files:** Click the "Upload File" button to drag and drop or select the PDF document you need to analyze. It supports various file types, such as contracts, papers, or financial statements.
3. **Analyze the PDF:** Once uploaded, ChatPDF will automatically parse the file content and generate a structured document summary. You can then view the extracted key information.
4. **Interactive Query:** Use the input box to ask questions like "What is the conclusion of this report?" or "What is the total amount recorded in the invoice?" ChatPDF will extract relevant content based on your query.
5. **Export Results:** If needed, you can choose to export the extracted information as CSV, Excel, or JSON format for easy organization and use.

ChatPDF offers an interactive experience, making it particularly suitable for quickly locating document information, such as finding key details or summarizing document content.

### ChatGPT

<VideoPlayer url={"https://www.youtube.com/watch?v=XA6bxOUKmyo"} />

[ChatGPT](https://openai.com/index/chatgpt/) excels at handling complex semantic data, such as parsing clauses in legal documents. This tool is highly flexible, allowing you to customize prompts to extract specific data or analyze content. However, you need to use the same prompt repeatedly for similar tasks, and it requires a good understanding of prompt crafting.

Here's a pre-written prompt you can modify for your needs (remember to replace the columns with the information you want to extract):

```json
You are now a PDF scraper, your job is when given a PDF, you need to extract its content based on the columns the user gives you. Your output should be a CSV file.

Here are the columns:

1. Name
2. Email
3. Phone Number
4. ...
```


1. **Register or Log In:** Open the [ChatGPT](https://openai.com/index/chatgpt/) website and register an account. If you already have an account, just log in.
2. **Upload PDF and Enter Query:** Directly type your query in the input box, the more specific, the better. For example: "This PDF document contains three charts, export them as tables."
3. **Review and Adjust Results:** Check if the answer meets your expectations. If needed, refine the results by asking follow-up questions or adjusting the prompt.
4. **Export Data as Excel or CSV:** If the data extracted by ChatGPT is what you want, type in the input box: "Export this data as Excel or CSV."
5. **Save Results:** Click the file link provided by ChatGPT to download the file.

## Real-Life Use Cases for AI PDF Scraper

AI PDF Scraper is like a versatile assistant in your work, whether you're dealing with invoices, contracts, financial reports, or purchase orders. Here are some practical scenarios where it shines:

### Invoice and Receipt Processing

Batch process company invoices and receipts, extracting key information like amounts and dates for classification and archiving.

1. **Launch [Thunderbit](https://thunderbit.com/), click AI Web Scraper, and then Bulk Pages**

![bulk_scraping.png](https://strapi.thunderbit.com/uploads/bulk_scraping_349a6a97e6.png)
2. **Enter the PDF URLs you want to process, one URL per line**

![enter_urls.png](https://strapi.thunderbit.com/uploads/enter_urls_dec6ef9d01.png)
3. **Click AI Suggest Columns (AI will read the PDF and suggest how to structure the data)**
4. **Click Scrape and export the data**

### Purchase Order Processing

Automatically identify items, quantities, and unit prices in purchase orders, generating standardized data records and extracting data from PDFs, saving manual processing time.

1. **Open the purchase order in Chrome and launch [Thunderbit](https://thunderbit.com/)**
2. **Click AI Web Scraper, then AI Suggest Columns**
3. **Review the generated list names and click Scrape**
4. **Click Download CSV**

![automatically_identify.gif](https://strapi.thunderbit.com/uploads/automatically_identify_4ea7a493f0.gif)

### Financial Data Extraction

Extract data from financial reports with a single click, such as profit margins and sales figures, eliminating the need for tedious manual review.

1. **Open the financial report in Chrome and launch [Thunderbit](https://thunderbit.com/)**
2. **Click Summarize**
3. **Automatically generate a summary of key information, including text and table content**

![financial_data_summary.gif](https://strapi.thunderbit.com/uploads/financial_data_summary_3a20c66802.gif)

Not satisfied with the auto-generated summary? You can manually input the project information you want.

1. **Open the financial report in Chrome and launch [Thunderbit](https://thunderbit.com/)**
2. **Click AI Web Scraper, enter the project names you want, like Net Income, Sales, etc.**
3. **Click Scrape, output Table**

![financial_data_extraction.gif](https://strapi.thunderbit.com/uploads/financial_data_extraction_5b2ced92b0.gif)

### Legal Document Analysis

Struggling with contract and agreement clauses? AI tools can quickly pinpoint payment terms, breach clauses, contract durations, and other key points. Extract them with a click to generate a concise summary or list of clauses, saving time and ensuring no details are missed.

Similar to extracting key information from financial reports, you can open the PDF and click Summarize to view payment terms, breach clauses, contract durations, and other key information with a single click.

![legal_document_summary.gif](https://strapi.thunderbit.com/uploads/legal_document_summary_c227e29ff2.gif)

## FAQs

1. **Can I extract data from multiple PDFs at once?**

    Yes, advanced PDF scraping tools allow users to extract data from multiple PDFs simultaneously. This batch processing capability significantly speeds up the workflow compared to manual extraction methods.


2. **Is PDF Scraper free?**

    Yes, there are several free PDF scraper tools available for use. Many online tools, such as [Thunderbit](https://thunderbit.com/) and [ChatPDF](https://www.chatpdf.com/), offer free page extraction and data extraction features. While some advanced functionalities may require payment, the basic data extraction capabilities are typically free.

3. **Is programming knowledge required to use a PDF scraper?**

    No, many AI PDF scrapers, such as [Thunderbit](https://thunderbit.com/), are designed for users without programming skills. They offer user-friendly interfaces that allow you to upload files and extract data with just a few clicks.

4. **What types of documents can be processed with a PDF scraper?**

    PDF scrapers can handle various types of documents including invoices, contracts, financial reports, academic papers, and any other structured or semi-structured content found in PDF files.

5. **Are my data secure when using a PDF scraper?**

    Reputable PDF scraping tools prioritize user security and often comply with regulations like GDPR. They typically store your data on encrypted servers and do not access it without your permission.

6. **Are there any other ways to extract data from PDF?**

    There are several methods to extract data from PDF files beyond manual entry and Python scripting. These include using PDF converters to transform files into formats like Excel or CSV, specialized PDF data extraction tools such as Tabula and Excalibur for structured documents, AI-driven solutions with optical character recognition (OCR) for both native and scanned PDFs, and open-source tools like Extractous and PymuPDF4llm designed for efficient data extraction. Each method has its own advantages and disadvantages, so the choice depends on the specific requirements and technical expertise of the user.

**Learn More**

- [**How to Scrape Any Website Using AI**](https://thunderbit.com/blog/scrape-any-website-using-ai/)
- [**Top 5 Tools With AI To Extract Data From PDFs**](https://pdf.wondershare.com/extract-pdf-data/data-extraction-ai.html)
- [**How to Use ChatGPT to Extract From PDFs**](https://www.evolution.ai/post/how-to-use-chatgpt-to-extract-from-pdfs)


<BottomCard url={"https://thunderbit.com/"} title={"Try AI Web Scraper"} />


AI PDF Scrapers automate data extraction from PDFs, saving time and ensuring accuracy. 

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How to Scrape Data from PDF using AI

## 2025: Why Email Scrapers Are Essential for Your Business

Email marketing is still a big deal for reaching customers in 2025, with around [**4.6 billion people using email daily**](https://www.statista.com/statistics/255080/number-of-e-mail-users-worldwide/). It's especially important for small businesses, with [**64%**](https://www.statista.com/statistics/255080/number-of-e-mail-users-worldwide/) using it to stay in touch with their customers. Building an email list can be tough, and buying lists might break data protection laws.

Email scrapers are a smart way to gather contact info for potential clients, letting you run super-targeted campaigns. Personalized emails can give you a great return, with [**$36 for every $1 spent**](https://www.litmus.com/resources/email-marketing-roi). Plus, 38% of brands are upping their email budgets to boost engagement and conversion rates.

This guide will show you how to get started with email scrapers, compare [the best tools](https://thunderbit.com/blog/best-web-scraping-tools/) out there, and help you pick the right one for your needs.

## **The Best Email Scrapers in 2025**

- [**Thunderbit**](#best-ai-powered-email-scraper) for the best AI-powered email scraper
- [**Snov.io**](#best-for-integrated-lead-management) for the best integrated lead management platform
- [**Zoominfo**](#best-for-comprehensive-contact-database) for the best email scraper with comprehensive contact database
- [**Skrapp.io**](#best-for-linkedin-integration) for the best integrated LinkedIn email scraping tool
- [**Hunter.io**](#best-for-domain-search) for the best domain search email scraper tool
- [**Octoparse**](#best-for-advanced-customization) for the best customized email scraping platform
- [**Lusha**](#best-for-b2b-data-accuracy) for the best email scraping tool with accurate B2B data

## **What Is an Email Scraper? How Does It Work?**
An email scraper is a handy tool that scans websites, social media, or online directories to find and collect email addresses in a neat format (like name@domain.com). These tools make building email marketing lists easier by automating the data collection process. They often grab extra info too, like names, job titles, and company details along with the emails.

Email scrapers work in different ways. The old-school ones use regular expressions (regex) to spot text patterns, while the more advanced ones [use AI to handle dynamic web pages](https://thunderbit.com/blog/scrape-any-website-using-ai/) and adapt to uncommon email formats.

When emails aren't easy to find on one platform, like LinkedIn profiles or business directories, advanced tools search multiple sources to find matching emails. Some platforms even mix scraping with access to their pre-validated databases, giving you a one-stop shop for gathering accurate contact info.


## **Is It Legal to Scrape Emails?**

Generally, grabbing publicly available email addresses from the web is usually okay. But if the data is private or protected by a site's terms of service, things get a bit trickier. In many places, email scraping has to follow [data protection laws](https://gdpr-info.eu/). Don't want to waste time reading? Try [Summarize](https://thunderbit.com/summarize/). Whether it's legal often depends on how you use the data and if you're sticking to the rules. It's super important to make sure you're following all the right regulations when you're using email scraping. 

## **The Best Email Scrapers at a Glance**

<Table content={`| **Tool** | **Pricing** | **Key Features** | **Best For** |
| --- | --- | --- | --- |
| **Thunderbit** | From $9/month, free tier available | AI-powered scraper, auto-detects and formats data, supports multiple formats, one-click export, user-friendly interface | Small businesses, individual entrepreneurs, and users regardless of their experience with scraping |
| **Snov.io** | From $39/month | Email finder, verifier, CRM, drip campaigns, LinkedIn automation | lead management and email outreach |
| **ZoomInfo** | Custom pricing | Comprehensive contact database | Enterprise-level sales leads |
| **Skrapp.io** | From $30/month | LinkedIn integration, domain search | LinkedIn-focused scraping |
| **Hunter.io** | Premium plans from $34/month | Domain search, email validation, bulk actions | Email verification and domain search |
| **Octoparse** | Starts at $99/month | No-code scraping, cloud services | Advanced custom scraping |
| **Lusha** | From $36/month | Verified B2B contacts, CRM integrations | Accurate B2B outreach and contact management |`} />

## **Best AI-Powered Email Scraper**

### [**Thunderbit**](https://thunderbit.com/)

![Thunderbit.gif](https://strapi.thunderbit.com/uploads/Thunderbit_9ad6536815.gif)

**Key Features:**

- **The Easiest Scraping Experience**: All you need to do is to click “AI suggest column” and then click “Scrape” on the page you need to extract from. Additional details like names, job titles, and company information are gathered alongside the emails. That’s it.
- **Automated Data Processing**: [Thunderbit](https://thunderbit.com/)’s AI can reformat data on the go, including summarizing, categorizing, and translating it to the required format.
- **Advanced Email Extraction**: Extracting emails from various sources, including PDFs and images. Its ability to handle diverse formats ensures comprehensive data collection and improved productivity.
- **Easy Data Export**: Export data to Google Sheets, [Excel](https://thunderbit.com/blog/scraping-data-from-website-to-excel/), or Notion with one click, simplifying data management.

<SideCard url={"https://thunderbit.com/"} title={"Scrape emails with AI effortlessly"} description={""} />

If you want to make data collection easy without dealing with coding, Thunderbit is the tool you need. This powerful yet easy-to-use [AI web automation tool](https://thunderbit.com/) helps you gather and organize data quickly. With its [AI Web Scraper](https://thunderbit.com/), you can easily grab emails and other info without any complicated setup, saving you a lot of time and effort. It's a great help for both businesses and individuals who want to make their work easier.

One of the best things about Thunderbit is its ability to pull emails from all sorts of places, like [PDFs](https://www.youtube.com/shorts/soyVQH7Neg8), images, and different web pages. This means you can collect information from various formats and platforms without any hassle. Plus, Thunderbit has cool features like [AI Autofill](https://thunderbit.com/ai-autofill/), which automatically fills out forms on sites like [Greenhouse and Lever](https://www.youtube.com/watch?v=T10G2HxlqP4), so you don't have to do it by hand and risk making mistakes.

Overall, Thunderbit is a great choice for anyone who wants to use AI for web automation and data management without needing to know about programming.

**Pricing:**

Plans start at [$9/month](https://thunderbit.com/pricing/) with a free tier available.

<TryButton url={"https://www.thunderbit.com/"} title={"Try Thunderbit for Email Scraping"} />

<VideoPlayer url={"https://www.youtube.com/shorts/soyVQH7Neg8"} />

## **Best for Integrated Lead Management**

### Snov.io

![snov-io.png](https://strapi.thunderbit.com/uploads/snov_io_12f8b5a901.png)

**Key Features:**

- **Email Finder:** Chrome extension to find emails on websites.
- **Email Verifier:** Bulk email verification to improve deliverability.
- **Email Warm-Up:** AI-powered warm-up to boost email deliverability.
- **Sales CRM:** Deal, task, and team management tools.
- **Email Drip Campaigns:** Automated lead nurturing campaigns.

[Snov.io](https://snov.io/) is a comprehensive platform that integrates lead generation, email verification, and sales management. It helps businesses streamline their sales processes by providing tools for finding and verifying leads, managing sales pipelines, and automating email campaigns. [Snov.io](https://snov.io/extension) works as both a Chrome extension and a web app, making it versatile for different workflows.

[Snov.io](https://snov.io/sales-crm)'s CRM tool enables you to manage Deals, Tasks, and Teams effectively. The Deals module allows you to manage lead contacts on a Kanban board. The task could be a custom email, meeting, or call which you can assign to a team member in the Snov.io app. The Email Drip Campaigns feature lets you nurture leads, build relationships, and guide prospects to sales using automation and AI.

However, it could become an expensive choice when your business needs to scale up. Also, the email search database is limited, you can't send emails to unverified addresses, and some users have reported deliverability issues.

**Pricing:**

[Snov.io](https://snov.io/pricing) offers a free plan. Paid plans start at $39/month, scaling up for larger needs, based on credit usage.

## **Best for Comprehensive Contact Database**

### ZoomInfo

![ZoomInfo.png](https://strapi.thunderbit.com/uploads/Zoon_Info_d01d50899a.png)

**Key Features:**

- **Advanced Search Functionality**: Filter contacts by job title, company, and location to efficiently find and connect with targeted leads.
- **Regular Database Updates**: Ensure access to accurate and current data with continuous updates, reducing the risk of outdated information.
- **Automated Lead Enrichment**: Automatically enhance leads with detailed information for more personalized and effective communication.

ZoomInfo is a go-to for big sales teams because it gives you direct access to a huge database of professional contacts. With over 100 million contacts and 95 million company profiles, it's one of the most complete B2B databases out there. People often say the data quality is [top-notch](https://www.softwareadvice.com/buyer-intent/zoominfo-profile/reviews/), even better than many other options when it comes to direct contact details.

But, like anything, it's not perfect. [Some folks](https://www.demandbase.com/blog/is-zoominfo-right-for-you-find-out-now/) have pointed out a few things that could be better. Even though ZoomInfo's database is massive, there are sometimes [issues](https://www.reddit.com/r/sales/comments/yq3fr4/zoominfo_how_good_is_it/) with data accuracy and completeness, especially outside the U.S. Plus, the pricing can be a bit steep for smaller businesses or startups since it's usually set up for bigger companies with bigger budgets for sales tools.

**Pricing:**

Custom pricing tailored to enterprise needs.

## **Best for LinkedIn Integration**

### Skrapp.io

![Skrapp-io.png](https://strapi.thunderbit.com/uploads/Skrapp_io_74b27d5735.png)

**Key Features:**

- **LinkedIn Integration**: Extract verified emails directly from LinkedIn profiles.
- **Email Finder and Verifier**: Ensure your outreach targets valid, deliverable emails.
- **Data Enrichment**: Access valuable company data like revenue and headcount.
- **Export Options**: Export data in CSV/XLSX or sync with platforms like Salesforce and Zoho.

Skrapp.io is a powerful tool specializing in LinkedIn profile scraping and domain searches. This platform enables users to efficiently gather verified email addresses from LinkedIn. Skrapp.io operates as both a Chrome extension and a web application, allowing for seamless integration into existing workflows and enabling users to extract data on the go.

Furthermore, Skrapp.io offers robust data management features that enhance user experience. Users can create multiple lists to organize their prospects, export search results into CSV or [Excel](https://thunderbit.com/blog/scraping-data-from-website-to-excel/) formats, and verify email addresses to ensure high deliverability rates. The platform's user-friendly interface makes it accessible even for those with limited technical skills.

However, the speed of scraping emails can be quite slow, which can be frustrating if you're trying to gather a lot of data quickly. Additionally, while the interface is generally easy to use, there might be a learning curve for those who are completely new to data scraping tools.

**Pricing:**

Monthly plans start at $49, scaling up to $299 for larger needs.

## **Best for Domain Search**

### Hunter.io

![Hunter-io.png](https://strapi.thunderbit.com/uploads/Hunter_io_ff5c8498e8.png)

**Key Features:**

- **Domain Search**: Discover all emails associated with a domain.
- **Email Verification**: Reduce bounce rates with built-in verification tools.
- **Bulk Actions**: Process multiple emails simultaneously for large campaigns.

Hunter.io is a great tool for finding domain-specific emails. One of its coolest features is the [Domain Search](https://www.uplead.com/hunter-io-review/), where you can type in a domain name and get all the email addresses linked to it. This is super helpful for finding key contacts in companies because it gives you not just the emails, but also names, job titles, and social profiles.

Hunter.io also makes it easy to handle big tasks. You can do large-scale email searches and verifications without a hitch. Just upload a CSV file with names and domains, and Hunter.io will find the related email addresses in bulk.

Like any tool, Hunter.io has its downsides. Some users have mentioned that the accuracy of the email addresses can vary, especially for less common domains.

All in all, Hunter.io's mix of fast email searching, thorough verification, and bulk processing makes it an [essential tool](https://theprocesshacker.com/blog/hunter-io-review/) for anyone working on lead generation.

**Pricing:**

Free plan available; premium plans start at $49/month.

## **Best for Advanced Customization**

### Octoparse

![Octoparse.png](https://strapi.thunderbit.com/uploads/Octoparse_aba229bf64.png)

**Key Features:**

- **Visual Interface**: Set up web scraping tasks easily without any coding, using a simple point-and-click interface.
- **Cloud Services**: Automate and schedule scraping tasks for regular data updates, ensuring your data is always current.
- **Advanced Data Extraction**: Handle complex and large-scale data needs, perfect for intricate web pages and dynamic content.

Octoparse is a powerful web scraping tool that makes it easy to pull complex data from websites. It works by mimicking how humans browse, so it can navigate sites smoothly and get around the usual anti-scraping measures.

The interface is super user-friendly, letting you set up scraping tasks quickly with features like auto-detection and pre-built templates. Even if you're not tech-savvy, you can use this tool for your data collection needs.

However, when you're scraping emails, it's important to remember the ethical and legal side of things. Make sure you're following privacy laws like GDPR or CAN-SPAM to stay compliant.

**Pricing:**

Starts at $119/month with a free tier for basic tasks.

## Best for B2B Data Accuracy

### Lusha

![Lusha.png](https://strapi.thunderbit.com/uploads/Lusha_4460ee963e.png)

**Key Features:**

- **Accurate Contacts**: Lusha provides detailed contact information, including phone numbers and emails, for direct customer outreach.
- **Real-Time Updates**: Continuously updated data ensures users have the latest contact details.
- **CRM Integration**: Seamlessly integrates with major CRMs like Salesforce and HubSpot for efficient management.
- **Privacy Protection**: Complies with GDPR and CCPA, ensuring data privacy and legal compliance.

Lusha is a top tool for businesses that need B2B contact info. It makes it super easy to get verified emails and phone numbers for potential leads. The best part? You can grab these details right from LinkedIn or Salesforce using its handy Chrome extension. This means sales pros can find contacts without leaving their main workflow, making prospecting a breeze.

Lusha also plays nice with different CRMs, boosting how efficiently you can generate and manage leads. On top of that, Lusha offers cool analytics features. You can track how engaged your contacts are and see who's most responsive, which helps you tailor your communication. With its focus on high-quality data and improving sales processes, Lusha is a good resource for companies looking to up their B2B marketing and sales efforts.

**Pricing:**

Plans start at $99/month with volume-based pricing available.

## **Conclusion**

In 2025, the email scraping tools market has something for every business, whether you're a small startup or a big enterprise. You've got [AI-powered options](https://thunderbit.com/blog/best-web-scraping-tools/) like Thunderbit and heavy-duty tools like ZoomInfo. Picking the right one really comes down to what you need—think about things like how big your operation is, what integrations you need, and your budget.

Getting the right tool can make your email marketing a lot easier, help you find more leads, and boost how you connect with customers. In the end, it's all about driving your business forward.

## **FAQs**

1. **What makes Thunderbit unique?**

    Thunderbit stands out for its innovative use of AI-powered solutions. It provides an easy user experience by offering AI scraping capabilities that don’t require any coding skills. This makes it accessible to everyone, from beginners to advanced professionals. The [combination of intelligence and automation](https://www.youtube.com/watch?v=UOK1pWPN190&ab_channel=Thunderbit) sets Thunderbit apart from other platforms.

2. **What should I consider when choosing an email scraper?**

    When choosing an email scraper, there are a few key factors to consider to make sure it meets your needs. First, think about how much data you need to scrape and how often. Your budget is also important—ensure the tool is affordable. Accuracy is crucial too, so check the scraper’s results. Tools like Thunderbit, which use AI, can transform unstructured data into well-organized groups. Finally, make sure the scraper easily integrates with your existing tools, like CRM systems.

3. **Can email scrapers integrate with other tools?**

    Yes, many email scrapers can connect with other tools to make managing data and workflows easier. For example, Thunderbit lets you send data [straight to Airtable](https://thunderbit.com/). These integrations help automate tasks, cut down on mistakes, and save time.

**Learn more:**

- [The Best Web Scraping Tools & Software in 2025](https://thunderbit.com/blog/best-web-scraping-tools/)
- [How to Scrape Any Website Using AI](https://thunderbit.com/blog/scrape-any-website-using-ai/)
- [The Easiest Way to Scrape Website to Excel](https://thunderbit.com/blog/scraping-data-from-website-to-excel/)
- [The world's easiest-to-use web scraper](https://thunderbit.com/)


<BottomCard url={"https://www.thunderbit.com/"} title={"Explore Thunderbit's AI Email Scraper"} />


Discover the best email scraper tools of 2025 to enhance your email marketing strategy.

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The Best Email Scrapers in 2025

Tired of endless copy-pasting from the website? Frustrated with constantly adjusting web scraping scripts? Traditional web scraping can indeed be a cumbersome process. However, in the era of AI, these barriers have lowered significantly, making web scraping more accessible than ever for everyday **business users**.

In this article, we’ll explore how to use **AI web scraper** to **extract data from any website**, along with the traditional web scraping method. Whether you're a beginner or a seasoned pro,  harnessing the power of AI can significantly boost your efficiency.  Let’s dive in!

## **What’s Web Scraping?**

Web scraping is a powerful technique for automatically **grab data from websites** and organizing it into a **structured, easy-to-use format**. This approach can save time and effort, especially when large amounts of data are involved. It’s super useful for things like **market research, real estate analysis,** or **Lead generation.**

## **Why not Use Traditional Web Scraper**

Traditional web scraping involves using scripts or specialized scraping tools to extract specific data points from a website's HTML structure. 

- Python is a popular language for web scraping. Here’s a tutorial video on how to scrap a website using Python

<VideoPlayer url={"https://www.youtube.com/watch?v=XVv6mJpFOb0"} />

- There are many traditional web scraping tools available online, such as [**Webscraper**](https://webscraper.io/pricing) and [**Octoparse**](https://www.octoparse.com/pricing). Let’s use **Webscraper** as an example. Here’s a tutorial on how to use it:

<VideoPlayer url={"https://www.youtube.com/watch?v=aClnnoQK9G0"} />

Though traditional web scrapers can be helpful, some of their serious downsides may hold you back:

- **High Barrier**: For people who are **not tech-savvy,** web scraping can be tough work since it requires learning to code and understanding web page structure.
- **Time Investment**: Setting up scrapers for new sites takes hours—you’ve got to pinpoint the data, set it up, and adjust it if anything changes.
- **Maintenance Headache**: Websites update all the time, which can mess up traditional scrapers. That means constant fixes just to keep things running smoothly.

These challenges make traditional web scraping less ideal for those seeking a quick and reliable solution. Fortunately, **AI-powered scrapers** offer a more **flexible and efficient** solution.

## **The Reason Why You Should Use AI Web Scraper**

AI web scraper is the smarter, automated way to grab data from websites using [**AI-powered tools**](https://thunderbit.com/).

Unlike traditional scraping, which needs coding and upkeep to work around website changes, AI scrapers use **machine learning** to figure out patterns and context on a page. This makes AI scrapers way more **flexible**, **faster**, and **user-friendly** for everyone—**no tech skills needed**. Here’s why AI web scraping might just be your new best friend:

- **Easy for Non-Techies:** [AI web scraping](https://thunderbit.com/) tools are built for everyone, with no-code needed interfaces make it as simple as **1-click**. No scripting or deep tech knowledge is required!
- **Fast and Efficient:** With **LLM support**, [AI scrapers](https://thunderbit.com/) can pull tons of data from multiple sites at lightning speed. They can recognize data tags like product names, prices, descriptions, and dates with almost no setup,  minimizing mistakes and manual work.
- **Flexible and Versatile:**  AI-powered scrapers can handle a large amount of data and automatically adjust to changes in website layouts, so you’re not constantly tweaking settings.  They’re designed to easily identify various data types, ensuring fast and error-free data collection.

## **Getting Started with Thunderbit**

<VideoPlayer url={"https://www.youtube.com/watch?v=B1kV6QjngRg"} />

Curious? Here’s how to get started with [Thunderbit](https://thunderbit.com/) for free:

1. **Visit the Thunderbit website**

Go to [thunderbit.com](https://thunderbit.com/) and sign up. New users can get some free credits to try out Thunderbit’s tools, including the AI Web Scraper, Autofill, and Summarize features. Use those free credits to see how these tools can simplify your work.

2. **Install the Thunderbit extension** 

Download [**Thunderbit**](https://chromewebstore.google.com/detail/thunderbit-ai-web-automat/hbkblmodhbmcakopmmfbaopfckopccgp) from the Chrome Web Store. Once installed, you can interact with websites directly, spot different types of data, and even adjust column headers for your data.

3. **Set up and log in** 

After installation, log in to get full access. From the **side panel**, you can **manage projects**, **upload files**, and **adjust scraping settings** to fit your needs. 

4. **Start to scrape**

Start a new project from the side panel in Thunderbit. You can choose what type of data you want, set specific extraction points, and configure any other details. It’s all interactive, so you can see what you’re pulling in real-time.

Here is an example of how to use Thunderbit AI Web Scraper. 

![Thunderbitgif4.gif](https://strapi.thunderbit.com/uploads/Thunderbitgif4_c6511d18c3.gif)

## **Advanced Scraping Features with Thunderbit**

[Thunderbit](https://thunderbit.com/) has some handy advanced features to make AI web scraping even easier:

- **Scrape using Natural Language**: Thunderbit’s interface doesn’t require any coding knowledge. You only need to define the column names for AI to understand what you are trying to scrape. Even if you’re not tech-savvy, you can easily handle complex data scraping projects.
- **AI Suggest Columns**: Thunderbit’s AI is especially smart—it understands the website you are looking at, identifies the most important data, and creates column names for your use case. With this feature, it filters out unimportant information, showing you only the data you need and boosting your efficiency.
- **Compatible with Various File Types**: Thunderbit’s [AI Web Scraper](https://thunderbit.com/) can scrape various data formats, like PDFs and even images. Thunderbit’s AI can automatically recognize key information within these files and accurately extract it with precision.

<TryButton url={"https://thunderbit.com/"} title={"Try AI Web Scraper"}/>

## **Best Practices for Web Scraping with AI**

### **Zillow**

If you're a **real estate agent** seeking to gather property data from [**Zillow**](https://www.zillow.com/) for a particular area, or an **investor** hunting for lucrative opportunities, a reliable web scraping tool can be your best assistant. **[Thunderbit](https://thunderbit.com/)**’s **[AI web scraper](https://thunderbit.com/)** makes it easy to extract essential property details from **[Zillow](https://www.zillow.com/)**, keeping you up-to-date and competitive. Here’s a tutorial video on how to use **Thunderbit** for **Zillow.**

![Thunderbit_Zillow2.gif](https://strapi.thunderbit.com/uploads/Thunderbit_Zillow2_c032961788.gif)

**Use Cases for Scraping Zillow**

- [Zillow Search Result Page](https://www.zillow.com/homedetails/1539-Ingalls-St-San-Francisco-CA-94124/15153637_zpid/)

![zillow_scraper1.png](https://strapi.thunderbit.com/uploads/Screenshot_2024_11_14_at_12_22_38_AM_f1cc6ee3a6.png)

- [Zillow Property Listing Page](https://www.zillow.com/homedetails/1539-Ingalls-St-San-Francisco-CA-94124/15153637_zpid/)

![zillow_scraper2.png](https://strapi.thunderbit.com/uploads/Screenshot_2024_11_14_at_12_25_48_AM_8702d1baf4.png)

### **LinkedIn**

If you're an **HR** want to scout for talents, or a sales seeking new leads, a reliable web scraping tool can be a powerful ally. **[Thunderbit](https://thunderbit.com/)** enables you to easily extract essential data from [**LinkedIn**](https://www.linkedin.com/), helping you streamline talent sourcing and lead management. After using it, you'll realize that all those time-consuming manual searches and copy-pasting are a thing of the past. Here’s a tutorial video that walks you through using **Thunderbit** to scrape data from **LinkedIn**.

![THunderbit_linkedin1.gif](https://strapi.thunderbit.com/uploads/T_Hunderbit_linkedin1_08fa78bdb4.gif)

**Use Cases for Scraping LinkedIn**

- [LinkedIn Profile Page](https://www.linkedin.com/in/shuaiguan/)
![Linkedin_scraper_demo.png](https://strapi.thunderbit.com/uploads/Linkedin_scraper_demo_3b1e4d6cbb.png)

### **Google Maps**

If you're a business owner looking to gather location-based data for market analysis or a sales professional seeking local business leads, a reliable [**web scraping tool**](https://thunderbit.com/) can be a game-changer. [**Thunderbit**](https://thunderbit.com/) allows you to effortlessly extract key data from [**Google Maps**](https://www.google.com/maps/), empowering you to make informed decisions and optimize your outreach. Here’s a tutorial video on how to use **Thunderbit** for **Google Maps** scraping.

![Thunderbit_Zillow2.gif](https://strapi.thunderbit.com/uploads/Thunderbit_Zillow2_c032961788.gif)

**Use Case for Google Maps**

- Google Maps
![Screenshot 2024-11-14 at 1.07.46 AM.png](https://strapi.thunderbit.com/uploads/Screenshot_2024_11_14_at_1_07_46_AM_bdb9f27591.png)

- [Google Maps Location Details Page](https://www.google.com/maps/place/The+Morris/@37.7666588,-122.4620107,13z/data=!4m11!1m3!2m2!1srestaurants!6e5!3m6!1s0x808f7e310d3891a9:0xc9872041746a8751!8m2!3d37.7629795!4d-122.4084796!15sCgtyZXN0YXVyYW50c1oNIgtyZXN0YXVyYW50c5IBGm5ld191c19hbWVyaWNhbl9yZXN0YXVyYW504AEA!16s%2Fg%2F11cs1vrpyw?entry=ttu&g_ep=EgoyMDI0MTExMS4wIKXMDSoASAFQAw%3D%3D)
![Screenshot 2024-11-14 at 1.09.58 AM.png](https://strapi.thunderbit.com/uploads/Screenshot_2024_11_14_at_1_09_58_AM_498d38fcc9.png)
### **Amazon**

If you're an online seller looking to get insights into your competitors or an entrepreneur aiming to track market trends, [**Thunderbit**](https://thunderbit.com/) is the perfect tool for you! It makes it easy to gather all kinds of product data from **[Amazon](https://www.amazon.com/)**, including detailed descriptions, prices, user reviews, and more. Here's a step-by-step tutorial video on how to use **Thunderbit** for **Amazon** data scraping to help you optimize your e-commerce strategy.

![amazon.gif](https://strapi.thunderbit.com/uploads/amazon_6c9ff2da02.gif)

**Use Case for Amazon**

- [Amazon Search Result Page](https://www.amazon.com/s?k=headphone&crid=3LIW3IS6JL0FP&sprefix=headpho%2Caps%2C505&ref=nb_sb_noss_2)
![Amazon_scraper.png](https://strapi.thunderbit.com/uploads/Screenshot_2024_11_14_at_1_13_08_AM_82e3322398.png)
 
    
- [Amazon SKU Detail Page](https://www.amazon.com/JBL-TUNE-720BT-Lightweight-comfortable/dp/B0CS8WVRLQ/ref=sr_1_1_sspa?crid=3LIW3IS6JL0FP&dib=eyJ2IjoiMSJ9.FLApqKZhRMDfounwb2aU6FWxdKRSPH9WnDX4kBJ7X9oZYLrXwRpqe66HmUERfSmlO7UC2NlQnMEkxm7-X9BiVq2sS64f73VlCi3DQQ8sEkDc-p3NyU6hVx9f09h1o26BWS8qgBIJSKnOHoqSXy1VyORjla47y2MJXxqCp2ZFFwUVqqKFHoOyfrI9jUT0_XNeLRrWlDpAEED8XgunqquZbeMZTpGEgbnrEA930bRNxIA.tZW1kXQLmv-b6cj57CnP1nQDeDGcZ4UhHk1w6T8E-wI&dib_tag=se&keywords=headphones&qid=1731557260&sprefix=headpho%2Caps%2C505&sr=8-1-spons&ufe=INHOUSE_INSTALLMENTS%3AUS_IHI_3M_HARDLINES_AUTOMATED&sp_csd=d2lkZ2V0TmFtZT1zcF9hdGY&th=1)
![AmazonSKU_scraper](https://strapi.thunderbit.com/uploads/Screenshot_2024_11_14_at_1_15_58_AM_19665b6af4.png)

Thunderbit AI Web Scraper has redefined the way how business users collect data, making it **faster**, **easier**, and more **efficient** than ever before. Whether you’re scouting properties on Zillow, sourcing leads on LinkedIn, or analyzing trends on Amazon, AI web scrapers can save you countless hours and headaches. Embrace the power of AI in web scraping, and watch your **productivity soar**. Ready to get started? Give [**Thunderbit**](https://thunderbit.com/) a try and take the first step toward smarter web scraping today.

## FAQs

1. **What can I use AI web scraping for?**
    - Market research and trend analysis
    - Real estate property tracking on sites like Zillow
    - Talent sourcing and lead generation on LinkedIn
    - Product and competitor analysis on Amazon
    - Local business data gathering from Google Maps


2. **What websites are best suited for AI web scraping with Thunderbit?**
    - **Zillow**: For real estate analysis
    - **LinkedIn**: For talent sourcing and lead generation
    - **Google Maps**: For location-based market research
    - **Amazon**: For product and competitor insights

3. **Can I try Thunderbit for free?**

    Yes, Thunderbit offers **free credits** for new users to explore its features. Sign up on [thunderbit.com](https://thunderbit.com/) to get started.

**Learn More:**

- [How to scrape data from a website](https://www.techtarget.com/whatis/feature/How-to-scrape-data-from-a-website)
- [3 ways to extract/scrape data from websites](https://community.zapier.com/featured-articles-65/3-ways-to-extract-scrape-data-from-websites-11846)
- [How to scrape a website without code](https://www.bardeen.ai/posts/how-to-scrape-a-website-without-code)
- [Web Scraping With Python – Step-By-Step Guide](https://brightdata.com/blog/how-tos/web-scraping-with-python)
- [How To Scrape Google Using Python](https://proxyscrape.com/blog/how-to-scrape-google-using-python)

<BottomCard url={"https://thunderbit.com/"} title={"Use AI to work with zero effort."} />


Unlock AI-driven web scraping with Thunderbit! See why it's better than the old-school ways, get started with this guide.

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How to Scrape Any Website Using AI

Have you ever been in a situation where you need to collect product information and pricing data from multiple websites and organize them into Excel sheets? Manually navigating and organizing this information is not only time-consuming and laborious but also prone to errors. To solve this problem, we’ll explore some of the easiest and most effective methods to pull website data directly into Excel, with options tailored for both beginners and advanced users. 

## Using No-Code Web Scraping Tools

For users who prefer not to code, no-code web scraping tools like [**Thunderbit**](https://thunderbit.com/) can help you scrape data from websites to Excel without any coding. These tools are designed to simplify the process by allowing users to define data extraction rules visually without the need for programming skills. 

<SideCard url={"https://thunderbit.com/"} title={"Do more with Thunderbit"} description={"Scrape data from any website using AI"} />
Thunderbit [AI Web Scraper](https://thunderbit.com/) uses advanced natural language models to understand website layouts and content without relying on fixed selectors. Most tools, however, use drag-and-drop functionality and customizable templates, requiring users to learn for hours before they can set up and automate web scraping tasks.

What’s more, you can export data to Google Sheets, Airtable, or Notion with one click, not just Excel.
<VideoPlayer url={"https://youtube.com/shorts/Fo9nuBXqJAQ?si=0wvP93rDpj_J1NiF"} />

### **3 Steps to collect product data with Thunderbit**

**Step 1: Open the website and click on “AI Web Scraper” in the sidebar.**

After you’ve easily installed Thunderbit on your browser, open the website you want to scrape and find the “AI Web Scraper” option in the Thunderbit sidebar.

![thunderbit_collect_data_step_1](https://strapi.thunderbit.com/uploads/thunderbit_collect_data_step_1_08373e848e.gif)


**Step 2: Customize the data fields you want to extract with AI assistance.**

A scraper template will automatically generate when you use the “AI Suggest Columns” feature. You can then edit this template with AI support to suit your needs. You’ll have options for where to save your data—either outputting it as a table to copy or saving it to other platforms.

![thunderbit_collect_data_step_2.gif](https://strapi.thunderbit.com/uploads/thunderbit_collect_data_step_2_3a21f3f6e6.gif)

**Step 3: Export the scraped data to Excel**

Once you’ve reviewed all data fields, run the scraper. You can copy or download the scraped data and import it into Excel.

![thunderbit_collect_data_step_3.gif](https://strapi.thunderbit.com/uploads/thunderbit_collect_data_step_3_a8165a8dd0.gif)

<TryButton url={"https://thunderbit.com/"} title={"Try AI Web Scraper"}/>

## Using Excel Web Queries

Excel has a built-in feature called Web Query that allows users to extract data directly from web pages. This method is particularly helpful for importing structured, tabular data directly from websites, and it allows you to maintain the data’s relevance with periodic updates. Please note, however, that this feature is available only on Windows versions of Excel.

### **Steps to collect product data with Excel Web Queries**:

1. **Open Excel**: Start a new workbook and navigate to the **Data** tab.
2. **Select "From Web"**: Click on "Get External Data" and choose "From Web."
3. **Enter URL**: Input the website address you wish to scrape and click OK.
    
![excel_web queries_enter_url.png](https://strapi.thunderbit.com/uploads/excel_web_queries_enter_url_ba79f6c34b.png)

4. **Choose Data**: Excel will display tables found on the page. Select the desired table and click Load.

![excel_web queries_enter_choose_data.png](https://strapi.thunderbit.com/uploads/excel_web_queries_enter_choose_data_3749fa6635.png)
    
5. **Check the Output**: You can specify where to load the data in your workbook and see if it meets your needs.

![thunderbit_collect_data_step_1.gif](https://strapi.thunderbit.com/uploads/excel_web_queries_enter_check_5902f8d0de.png) 

>Explore how Thunderbit can do more than just scrape data. Use AI to scrape, summarize, and autofill web pages. [Try AI Web Scraper now](https://thunderbit.com/).

## Using Excel VBA for Custom Scraping

For those with programming knowledge, using VBA (Visual Basic for Applications) allows for more complex scraping tasks. VBA is a programming language integrated into Microsoft Office applications, including Excel. This feature is only available in Excel for Windows.

### Steps to Collect Product Data with **Excel VBA**:

1. **Enable Developer Tab**:
    - Open Excel, click on "Excel" > "Preference" > "View".
    - Check the "Developer" option in the bottom pane.
2. **Add References**:
    - In the Developer tab, click on "Visual Basic" to open the VBA editor.
    - Go to "Tools" > "References" and check the following:
        - Microsoft Internet Controls
        - Microsoft HTML Object Library
3. **Write VBA Code for Data Extraction**
    - Click on "Insert" > "Module"
    - Write VBA code in the editor.
    
![excel_vba_insert.png](https://strapi.thunderbit.com/uploads/excel_vba_insert_8f18642487.png)
    
 Here's a basic example of how to extract product title, price, and availability from an Amazon product page:
 
```
    Sub ScrapeAmazonPage()
        Dim IE As Object
        Dim html As Object
        Dim productTitle As String
        Dim productPrice As String
        Dim productRating As String
        
        ' Create Internet Explorer object
        Set IE = CreateObject("InternetExplorer.Application")
        
        ' Navigate to the Amazon product page
        IE.Visible = True
        IE.navigate "Put Your URL Here"
        
        ' Wait for the page to load
        Do While IE.Busy Or IE.readyState <> 4
            DoEvents
        Loop
        
        ' Get the HTML document
        Set html = IE.document
        
        ' Extract product title
        On Error Resume Next
        productTitle = html.getElementById("productTitle").innerText
        On Error GoTo 0
        
        ' Extract product price
        On Error Resume Next
        productPrice = html.getElementsByClassName("a-price-whole")(0).innerText
        On Error GoTo 0
        
        ' Extract product rating
        On Error Resume Next
        productRating = html.getElementsByClassName("a-icon-alt")(0).innerText
        On Error GoTo 0
        
        ' Output the extracted data to Excel
        With ThisWorkbook.Sheets(1)
            .Cells(1, 1).Value = "Product Title"
            .Cells(1, 2).Value = "Price"
            .Cells(1, 3).Value = "Rating"
            .Cells(2, 1).Value = productTitle
            .Cells(2, 2).Value = productPrice
            .Cells(2, 3).Value = productRating
        End With
        
        ' Clean up
        IE.Quit
        Set IE = Nothing
        Set html = Nothing
    End Sub
```

4. **Run and Test the VBA Script**
    - Run your script in the Visual Basic Editor or assign the script to a button in your Excel sheet.
    - Check the data output in your Excel sheet to ensure it’s formatted as expected.
    
![excel_vba_result.png](https://strapi.thunderbit.com/uploads/excel_vba_result_bdd0609c77.png)

>Let AI handle your data scraping without the hassle of coding. Free up your time to focus on what’s important. Discover the power of our [AI Web Scraper](https://thunderbit.com/)!

## FAQs

1. **What is web scraping, and why is it useful?**

    Web scraping collects data from websites and organizes it in formats like tables. It’s beneficial for gathering information from multiple sources, such as product pricing, enabling easy comparison and analysis.

2. **How does Thunderbit work?**

    Thunderbit allows data extraction without coding. Using visual interfaces, users can select data fields for scraping, which the tool then automates, simplifying data collection.

3. **Can I export data to other platforms besides Excel with Thunderbit?**

    Yes, Thunderbit supports exporting data to platforms like Google Sheets, Airtable, and Notion, allowing flexibility in data management beyond Excel.

4. **Why Web Query data isn’t refreshing automatically?**

    Make sure the “Refresh All” option is enabled under the **Data** tab in Excel. You can set up an automatic refresh interval by selecting “Connection Properties” under **Queries & Connections**.

5. **Why VBA Code Doesn’t Run Properly?**

    Ensure you’ve enabled the Developer tab and selected the required references (Microsoft Internet Controls and HTML Object Library).

**Learn More:**
- [3 Easy Ways to Scrape Data from Website to Excel](https://medium.com/@octoparsewebscraping/3-easy-ways-to-scrape-data-from-website-to-excel-1c52c66b94e0)
- [How to Scrape Data from a Website to Excel
](https://medium.com/@datajournal/scraping-web-data-to-excel-d487c912b8fa)
- [Scraping Data from Website to Excel sheet
](https://medium.com/@aparnamishra144/scraping-data-from-website-to-excel-sheet-8bc0a8537da8)

<BottomCard url={"https://thunderbit.com/"} title={"Use AI to work with zero effort."} />



Master efficient web scraping to Excel. This guide will teach you how to import web data and automate data collection for better insights.

large_scraping-data-from-website-to-excel.jpg

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scraping-data-from-website-to-excel

The Easiest Way to Scrape Website to Excel

> *“You can have data without information, but you cannot have information without data.”
>  — [Daniel Keys Moran](https://en.wikipedia.org/wiki/Daniel_Keys_Moran)*

Recent estimates suggest there are over [1.5 billion](https://www.internetlivestats.com/total-number-of-websites/) websites on the internet, with around 2 million new posts published every day. This ocean of data holds valuable insights for guiding decisions, but there’s a catch: about [80%](https://www.congruity360.com/blog/the-future-of-data-unstructured-data-statistics-you-should-know/) of it is unstructured, meaning it needs additional processing to be useful. That’s where web scraping tools come in, becoming essential for anyone looking to tap into online data.

If you’re new to web scraping, terms like [web components](https://en.wikipedia.org/wiki/Web_Components) and [HTML](https://en.wikipedia.org/wiki/HTML) might sound a bit intimidating. But in the age of AI, these challenges are much easier to overcome. Today’s AI-powered scraping tools can help you get started without requiring deep technical knowledge. These tools make it possible to collect and process data quickly, no coding skills are needed.

## The Best Web Scraping Tools & Software

- [**Thunderbit**](#the-best-web-scraper-in-the-ai-era) for an easy-to-use AI web scraper with the best results
- [**Browse AI**](#best-web-scraper-for-data-monitoring-and-bulk-extraction) for real-time monitoring and bulk data extraction
- [**Bardeen AI**](#best-web-scraper-for-workflow-integration) for no-code automation with extensive app integrations
- [**Web Scraper**](#best-visual-web-scraper-for-people-with-experience) for a more professional visual web scraping
- [**Octoparse**](#best-web-scraper-avoiding-ip-blocking-and-bot-detection) for powerful no-code scraping avoiding IP blocking and bot detection
- [**Diffbot**](#best-web-scraper-for-advanced-ai-powered-data-extraction-api) for advanced AI-powered data extraction API and knowledge graphs

## How Does Web Scraping Work?

Web scraping is all about grabbing data from websites. You give a tool a set of instructions, and it goes off to pull text, images, or whatever you need into a table from a webpage. This can come in handy for everything from tracking prices on e-commerce sites to gathering research data or even just building up a good Excel spreadsheet or Google Sheets.

  ![transform_webpage_to_google_sheets.png](https://strapi.thunderbit.com/uploads/transform_webpage_to_google_sheets_df69964ba3.png) _I made this with Thunderbit using the AI Web Scraper._

There are a few ways to do it. At the simplest level, you could just copy and paste stuff yourself, but that’s a lot of work if there’s a ton of data. So, most people use one of three methods: traditional web scrapers, AI web scrapers, or custom code.

**Traditional web scrapers** work by setting specific rules about what data to grab based on the page’s structure. For example, you can set it to grab product names or prices from certain HTML tags. They work best on websites that don’t change too often, since any layout tweaks mean you’ll have to go in and adjust your scraper.

![web_scraper_operation_demo.gif](https://strapi.thunderbit.com/uploads/web_scraper_operation_demo_88cf1f873f.gif) _Using a traditional scraper will take a long time to learn, and it will probably take you dozens of clicks to complete the setup._

<SideCard url={"https://thunderbit.com/"} title={"Scrape data from any website using AI"} description={""} />

**AI web scrapers** basically mean: ChatGPT reads the whole website and then extracts content based on your need. It can handle data extraction, translation & summarization at the same time. They use natural language processing to analyze and understand the website’s layout, which means they can handle site changes more smoothly. Say the website rearranges its sections a little—an AI web scraper might be able to adjust without you needing to rewrite anything. So they’re great for high-maintenance sites or ones with more complex structures.

![thunderbit_ai_web_scraper_operation_demo.gif](https://strapi.thunderbit.com/uploads/vs1_251762e452.gif)_The AI web scraper is easy to get started and gives you detailed data in just a few clicks!_

***Which one should you pick?*** It depends. If you’re comfortable tinkering with code or need to collect large amounts of data on a popular website, traditional scrapers can be very efficient. But if you’re new to web scraping or want something that can roll with website updates, AI web scrapers are usually the better bet. Check the table below for more detailed scenarios!

<Table content={`| **Scenario** | **Best Choice** |
| --- | --- |
| Light-weight scraping on pages such as directories, shopping websites, or any website with a list | AI Web Scraper |
| The page contains less than 200 rows of data, building a scraper using a traditional web scraper takes too long | AI Web Scraper |
| The data you need to scrape for needs a certain data format to upload to somewhere else. For example: scraping contact info to upload to HubSpot. | AI Web Scraper |
| Widely used websites at scale, such as tens of thousands of Amazon product pages or Zillow property listings. | Traditional Web Scraper |`} />

## The Best Web Scraping Tools & Software at a Glance

<Table content={`| **Tool** | **Pricing** | **Key Features** | **Pros** | **Cons** |
| --- | --- | --- | --- | --- |
| [**Thunderbit**](#the-best-web-scraper-in-the-ai-era) | From $9/month, free tier available | AI web scraper, auto-detects and formats data, supports multiple formats, one-click export, user-friendly interface. | Code-free, AI support, integrations with apps like Google Sheets | Large-scale scraping can be slow, advanced features may cost more |
| [**Browse AI**](#best-web-scraper-for-data-monitoring-and-bulk-extraction) | From $48.75/month, free tier available | No-code interface, real-time monitoring, bulk data extraction, workflow integration. | User-friendly, integrates with Google Sheets & Zapier | Complex pages need extra setup, bulk scraping can cause timeouts |
| [**Bardeen AI**](#best-web-scraper-for-workflow-integration) | From $60/month, free tier available | No-code automation, integrates with 130+ apps, MagicBox turns tasks into workflows. | Extensive integrations, scalable for businesses | Steep learning curve for new users, time-consuming setup |
| [**Web Scraper**](#best-visual-web-scraper-for-people-with-experience) | Free for local use, $50/month for cloud | Visual task creation, supports dynamic sites (AJAX/JavaScript), cloud scraping. | Works well for dynamic sites | Requires technical knowledge for best setup |
| [**Octoparse**](#best-web-scraper-avoiding-ip-blocking-and-bot-detection) | Starts at $119/month, free tier available | No-code scraping, auto-detection of page elements, cloud scraping with scheduled tasks, template library for common websites. | Powerful features for dynamic sites, handles restrictions | Complex sites require learning |
| [**Diffbot**](#best-web-scraper-for-advanced-ai-powered-data-extraction-api) | From $299/month | Data extraction API, no-rule API, NLP for unstructured text, extensive knowledge graph. | Strong AI extraction, extensive API integration, large-scale scraping | Learning curve for non-technical users, setup time |
`} />

## The Best Web Scraper in the AI Era
### [Thunderbit](https://thunderbit.com/)

![amazon_ai_web_scraper_thunderbit.gif](https://strapi.thunderbit.com/uploads/amazon_ai_web_scraper_thunderbit_e8ce714b84.gif)

Thunderbit is a powerful, user-friendly AI web automation tool that enables users without coding skills to extract and organize data easily. With its [Chrome extension](https://chromewebstore.google.com/detail/thunderbit-ai-web-automat/hbkblmodhbmcakopmmfbaopfckopccgp), Thunderbit’s [AI Web Scraper](https://thunderbit.com/) simplifies data scraping—users can quickly pull web data without manually interacting with web elements or setting up individual scrapers for different page layouts.

**Key Features**
- **AI-Powered Flexibility**: Thunderbit’s AI Web Scraper automatically detects and formats web data, eliminating the need for CSS selectors.
- **The Easiest Scraping Experience**: All you need to do is to click “AI suggest column” and then click “Scrape” on the page you need to extract from. That’s it.
- **Support for Various Data Formats**: Thunderbit can scrape URLs, images, and display captured data in multiple formats.
- **Automated Data Processing**: Thunderbit’s AI can reformat data on the go, including summarizing, categorizing, and translating it to the required format.
- **Easy Data Export**: Export data to Google Sheets, Airtable, or Notion with one click, simplifying data management.
- **User-Friendly Interface**: An intuitive interface makes it accessible for users of all skill levels.

**Pricing**

Thunderbit offers tiered plans, starting from $9 a month for 5,000 credits. It goes all the way up to $199 for 240,000 credits. Also, for the annual plan, you will get all credits up front.

**Pros**:
- Strong AI support simplifies data extraction and processing.
- Code-free, accessible to users of all skill levels.
- Perfect for lightweight scraping such as directories, shopping websites, etc.
- High integration capabilities for direct exports to popular apps.

**Cons**:
- Large-scale data scraping may take some time to ensure accuracy.
- Certain advanced features may require a paid subscription.


>**Want more information?**
>Start by [installing Thunderbit](https://chromewebstore.google.com/detail/thunderbit-ai-web-automat/hbkblmodhbmcakopmmfbaopfckopccgp), or discover [how to easily scrape websites](https://www.youtube.com/@thunderbit-ai) with Thunderbit.

## Best Web Scraper for Data Monitoring and Bulk Extraction
### **Browse AI**

<VideoPlayer url={"https://www.youtube.com/watch?v=13jp3m1JUAs"} />

Browse AI is a robust no-code data scraping tool designed to help users extract and monitor data without writing any code. Browse AI has some AI features, but it’s not quite up to the level of full-on AI scraping. That said, it does make things easier for users to get started.

**Key Features**

- **No-code Interface**: Enables users to create custom workflows with simple clicks.
- **Real-Time Monitoring**: Uses bots to track webpage changes and deliver updated information.
- **Bulk Data Extraction**: Capable of handling up to 50,000 data entries in one go.
- **Workflow Integration**: Links multiple bots for more complex data processing.

**Pricing**

Starts at $48.75 per month,  including 2,000 credits. A free tier is available, providing 50 credits per month to try out its basic features.

**Pros**:

- Offers integrations with Google Sheets and Zapier.
- Pre-built bots simplify common data extraction tasks.

**Cons**:

- May require extra configuration for complex pages.
- Bulk scraping speed can vary, sometimes resulting in timeouts.

## Best Web Scraper for Workflow Integration
### **Bardeen AI**

<VideoPlayer url={"https://cdn.prod.website-files.com/662fbf69a72889ec66f07685%2F66b27b6f588058a4c0344db1_hero_video-transcode.mp4"} />

Bardeen AI is a no-code automation tool designed to streamline workflows by connecting various apps. While it uses AI to create custom automation, it lacks the adaptability of a full AI Scraping tool.

**Key Features**

- **No-code Automation**: Allows users to set up workflows with clicks.
- **MagicBox**: Describes tasks in plain language, which Bardeen AI converts into workflows.
- **Broad Integration Options**: Integrates with over 130 apps, including Google Sheets, Slack, and LinkedIn.

**Pricing**

Starts at $60 per month, with 1,500 credits (about 1,500 rows of data). A free tier offers 100 credits monthly to try basic features.

**Pros**:

- Extensive integration options support diverse business needs.
- Flexible and scalable for businesses of all sizes.

**Cons**:

- New users may need time to learn the full platform.
- Initial setup may be time-intensive.

## Best Visual Web Scraper for People with Experience
### **Web Scraper**

<VideoPlayer url={"https://www.youtube.com/watch?v=aViWT-WpzYI&ab_channel=WebScraper"} />

Yes, you heard it right: the tool is called "Web Scraper". Web Scraper is a popular browser extension for Chrome and Firefox that enables users to extract data without coding, offering a visual way to create scraping tasks. However, you may need to spend a few days watching and learning from the tutorials above to fully master this tool. If you want to make scraping easy on your brain, choose AI Web Scraper.

<TryButton url={"https://thunderbit.com/"} title={"Try AI Web Scraper"}/>

**Key Features**

- **Visual Creation**: Let users set up scraping tasks by clicking web elements.
- **Dynamic Website Support**: Can handle AJAX requests and JavaScript for dynamic sites.
- **Cloud Scraping**: Schedule tasks through Web Scraper Cloud for periodic scraping.

**Pricing**

Free for local use; paid plans start at $50/month for cloud features.

**Pros**:

- Works well for dynamic sites.
- Free for local use.

**Cons**:

- Requires technical knowledge for optimal setup.
- Complex testing is required for changes.

## Best Web Scraper Avoiding IP Blocking and Bot Detection
### **Octoparse**

![octoparse_landing_page.png](https://strapi.thunderbit.com/uploads/octoparse_landing_page_213afe0730.png)

Octoparse is a versatile software for more technical users to collect and monitor specific web data without code, ideal for large-scale data needs. Octoparse doesn’t rely on the user’s browser to operate; instead, it uses cloud servers for data scraping. So, it can offer various methods to bypass IP blocking and certain website bot detection.

**Key Features**

- **No-code Operation**: Users can create scraping tasks without writing code, making it accessible to users with varying technical skills.
- **Smart Auto-Detection**: It automatically detects page data, quickly identifying elements available for scraping, simplifying setup.
- **Cloud Scraping**: Supports 24/7 cloud data scraping with scheduled scraping tasks for flexible data retrieval.
- **Extensive Template Library**: Offers hundreds of preset templates, allowing users to quickly access data from popular websites without complex setup.

**Pricing**

Octoparse’s pricing plan starts at $119 per month, including 100 tasks. A free tier with 10 tasks per month is also available to test its basic functionality.

**Pros**:

- Powerful features support dynamic site scraping with high adaptability.
- Provides solutions for handling scraping restrictions and dynamic content issues.

**Cons**:

- Complex website structures may require more time to set up.
- New users may need time to learn usage techniques.

## Best Web Scraper for Advanced AI-Powered Data Extraction API
### **Diffbot**

<VideoPlayer url={"https://static.diffbot.com/public/video/home/diffbot-explainer.webm"} />

Diffbot is an advanced web data extraction tool that uses AI to transform unstructured web content into structured data. With powerful APIs and a knowledge graph, Diffbot helps users extract, analyze, and manage information from the web, suitable for various industries and applications.

**Key Features**

- **Data Extraction API**: Diffbot offers a no-rule data extraction API, allowing users to simply provide a URL for automatic data extraction, eliminating the need to set custom rules for each website.
- **Natural Language Processing API**: Extracts structured entities, relationships, and sentiment from unstructured text, aiding users in building their own knowledge graphs.
- **Knowledge Graph**: Diffbot has one of the largest knowledge graphs, connecting extensive entity data, including details about individuals and organizations.

**Pricing**

Diffbot’s pricing plan starts at $299 per month, including 250,000 credits (equivalent to approximately 250,000 API-based webpage extractions).

**Pros**:

- Strong no-rule data extraction capabilities with high adaptability.
- Extensive API integration options for easy integration with existing systems.
- Supports large-scale data scraping, suitable for enterprise-level applications.

**Cons**:

- Initial setup may require some learning time for non-technical users.
- Users must write a program to call the API to use it.

## What Can You Use Scrapers For?
<VideoPlayer url={"https://www.youtube.com/watch?v=ixbyqUPxQno"} />

If you’re new to web scraping, here are a few popular use cases to help you get started. Many people use scrapers to retrieve Amazon product listings, pull real estate data from Zillow, or gather business details from Google Maps. But that’s just the beginning—you can use Thunderbit [AI Web Scraper](https://thunderbit.com/) to collect data from almost any website, streamlining tasks and saving time in your daily workflow. Whether it’s for research, tracking prices, or building databases, web scraping opens up countless ways to put the internet’s data to work for you.

## FAQs

1. **Is web scraping legal?**
    
    Web scraping is typically legal but must follow website terms of service and the nature of the data being accessed. Always review relevant policies and comply with legal guidelines.
    
2. **Do I need programming skills to use web scraping tools?**
    
    Most of the tools featured here do not require programming skills, but tools like Octoparse and Web Scraper may benefit from users having basic knowledge of web structures and a programming mindset for optimal use.
    
3. **Are there free web scraping tools?**
    
    Yes, free tools like BeautifulSoup, Scrapy, and Web Scraper are available, and some tools also offer limited-feature free plans.
    
4. **What are common challenges in web scraping?**
    
    Common challenges include handling dynamic content, CAPTCHAs, IP blocking, and complex HTML structures. Advanced tools and techniques can effectively address these issues.

**Learn More:**
- [The 4 Best Web Scraping Tools — From $0](https://medium.com/@growthrocks/the-4-best-web-scraping-tools-from-0-guide-67e97746f97b)
- [10 Best Web Scraping Tools
](https://medium.com/@lognoroy2000/10-best-web-scraping-tools-9cff6e944c7f)
- [The 10 Best Web Scraping Tools for 2024
](https://medium.com/@datajournal/the-10-best-web-scraping-tools-13535d4dcd14)
- [Best Web Scraping Tools in 2024: Quick Guide From Beginner to Pro
](https://medium.com/stackademic/best-web-scraping-tools-in-2024-quick-guide-from-beginner-to-pro-3c3c799ca4ca)

   <BottomCard url={"https://thunderbit.com/"} title={"Use AI to work with zero effort."} />
 

We've compared the best web scrape tools and software to help you automate data collection and maximize time savings.


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