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"}/>

**Try Using AI for Web Scraping**
<ArcadePlayer url={"https://demo.arcade.software/05Ynjgg2WctFSaWyGDFj?embed&embed_mobile=tab&embed_desktop=inline&show_copy_link=true"} ratioHeight={"49.166666666666664%"} />
_Try it! You can click, explore, and run the workflow as you watch._

## 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)

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

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

Learn More

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The Easiest Way to Scrape Website to Excel

> ***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).

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## 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.

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

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

## 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.

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

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### 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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The Complete Price Scraping Guide

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.

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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.

**Give It a Go: Extract Data from PDFs Using AI**
<ArcadePlayer url={"https://demo.arcade.software/uxrYV6Yd8QT0sY6LxMv0?embed&embed_mobile=tab&embed_desktop=inline&show_copy_link=true"} ratioHeight={"50.520833333333336%"} />
_Try it! You can click, explore, and run the workflow as you watch._

## 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

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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

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[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)


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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

If you're in sales, you know how important it is to gather customer emails. But let's face it, the process can be **a real drag**. Some folks even joke that they feel like they're on an archaeological dig, sifting through endless web pages and copying and pasting info by hand. It's a time-suck, repetitive, and mistakes are easy to make. So, is there a smarter, easier way to handle this?

## Why Scrape Emails from Websites

In the world of B2B sales, email strategies are still [one of the top ways to convert leads](https://revnew.com/blog/outbound-lead-generation-strategies). Especially for outbound sales, finding your target customers' emails and generating enough leads can really boost your product sales. Emails let you **communicate in a personalized way**, tailoring content to fit your customer's profile, which can bump up response rates. For example, [putting a recipient's name in the email subject line can increase open rates by 29.3%](https://ircsalessolutions.com/insights/sales-follow-up-statistics/). Plus, you can **measure email performance with metrics** like open rates, click-through rates, and response rates for analysis and optimization.

However, tracking down potential customers' emails can **eat up a lot of time**. Many Business Development Representatives (BDRs) still [spend a ton of time manually hunting for potential customers' emails](https://yesassistant.com/b2b-outbound-email-marketing/), which is not only inefficient but also prone to errors. Traditional web scrapers can make collecting emails easier, but they often need complex manual setups and templates for different web structures. This can be **a steep learning curve** for salespeople without a tech background, slowing down the lead generation process and affecting data quality.

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AI Web Scrapers can [tackle these issues perfectly](https://thunderbit.com/blog/scrape-any-website-using-ai). No matter the web structure, AI Web Scrapers can **quickly and accurately** pull emails. The process is straightforward, requiring just a few clicks, making it **easy even for beginners to dive in**.

### Use Case: Scraping Emails for Sales Leads

Imagine Jack, a sales rep for an AI customer service software company, wants to break into the U.S. market. His target customers are independent online store owners using Shopify. He needs to find contact information for these e-commerce brand owners to kick off his email marketing strategy.

The old-school way would involve:

1. Googling keywords like "Powered by Shopify" contact "@gmail.com" site:.us
2. Opening each link and manually searching for contact info, including emails and LinkedIn links
3. Copying and pasting the contact info into an Excel sheet

Alternatively, he could hire a freelancer on Upwork to export this information. Or he could use a traditional web scraper like Octoparse, but this would require setting up scrape templates, which can be time-consuming.

With an AI Web Scraper, **it's much simpler**: after opening the search results, Jack can click "Email Extractor" to get the email information from the page.
![thunderbit-email-extractor-google-search-shopify-gmail.png](https://strapi.thunderbit.com/uploads/thunderbit_email_extractor_google_search_shopify_gmail_294679ddfb.png)

In just 10 minutes, he can gather at least 200+ customer contacts, with email fields uniformly formatted, saving hours of manual work. If he wants to target the UK market next, he just needs to change the search keywords and click again.

Sales reps should spend their time following up with customers, not on data extraction.

## What Is an AI Web Scraper and How Does It Work?

An AI Web Scraper is a smart tool that uses artificial intelligence to automatically pull data from web pages. No matter how complex the page layout is, AI can "understand" the page and pick out key fields like emails, contact info, and company details without needing manual CSS selector setup or data area marking.

Compared to traditional web scrapers, AI Web Scrapers offer several perks:

- **No Template Setup Needed**: Traditional web scrapers rely on fixed templates, needing reconfiguration for different web pages. AI Web Scrapers use a "what you see is what you get" approach, automatically figuring out the web structure and scraping the necessary data, cutting down setup time and effort.
- **Supports Subpage Navigation**: AI Web Scrapers understand link relationships within web pages, automatically navigating to subpages and pulling information (like emails) without manual page opening and copying.
- **User-Friendly for Non-Tech Users**: While traditional web scrapers are powerful, they require a good understanding of the process and web structure. AI Web Scrapers only need users to select the Email Extractor feature or input their needs, or even use AI to suggest scrape fields, to get the desired email data. Beginners can quickly master it without a technical background.
- **Better for Long-Tail Scenarios**: For niche websites, non-standard page structures, or dynamic content loading, traditional scraper templates often fail. Configuring them yourself involves a high learning curve and time investment. AI's generalization ability can handle various web variations, offering greater adaptability.
![ai-web-scraper-advantages-auto-detection-subpage-navigation.png](https://strapi.thunderbit.com/uploads/ai_web_scraper_advantages_auto_detection_subpage_navigation_b8801d6c38.png)

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

### How to Use an AI Web Scraper

Getting started with an AI web scraper is [super easy and only takes a couple of steps](https://thunderbit.com/blog/scrape-any-website-using-ai).

<ArcadePlayer url={"https://demo.arcade.software/05Ynjgg2WctFSaWyGDFj?embed&embed_mobile=tab&embed_desktop=inline&show_copy_link=true"} ratioHeight={"49.166666666666664%"} />


## How to Use an AI Web Scraper to Extract Emails

### Find Emails via Google Search

Enter the desired email information with specific conditions in Google to find relevant web pages containing email information. There are two main ways: using tools like email extractors or using the Thunderbit Email Extractor, which is free to use.

<ArcadePlayer url={"https://demo.arcade.software/BXLp5ylvZYQo2BoWXKFa?embed&embed_mobile=tab&embed_desktop=inline&show_copy_link=true"} ratioHeight={"46.6724286949006%"} />

For example, if you're a sales rep for gym equipment, you can do this:

### Extract Emails from PDFs and Images

[Open PDF files or images](https://thunderbit.com/blog/scrape-data-from-pdf-using-ai), click "File & Image," upload the file, and input the content you want to scrape, such as emails, to get the email data.
![thunderbit-extract-emails-personal-trainer-directory.png](https://strapi.thunderbit.com/uploads/thunderbit_extract_emails_personal_trainer_directory_cd5b20f375.png)

### Collect Emails from Website Directories

You can also scrape emails from existing contact directories on websites by manually inputting the data you want to scrape or clicking "AI Suggest Fields" to get email data. If the emails are on a subpage, you can configure it manually.

<ArcadePlayer url={"https://demo.arcade.software/zTEkcZpLXIyM8D4mNNdL?embed&embed_mobile=tab&embed_desktop=inline&show_copy_link=true"} ratioHeight={"46.6724286949006%"} />

### Extract Leads from Data Vendors

Some data vendors like Apollo and ZoomInfo require membership for data export. For low-frequency needs, using Thunderbit's free version is sufficient. You can scrape the needed data, like email information, directly from the search page, making it very useful and convenient.
![thunderbit-scrape-emails-from-apollo-engineer-database.png](https://strapi.thunderbit.com/uploads/thunderbit_scrape_emails_from_apollo_engineer_database_3726ab2757.png)

### Get Emails from LinkedIn with Data Enrichment

You can also find personal email information on LinkedIn. If you want more information, use our prebuilt template for LinkedIn: [LinkedIn Profile Scraper](https://thunderbit.com/template/linkedin-profile-scraper). This template not only scrapes LinkedIn data but also gathers more comprehensive information from the web, including all personal emails and phone numbers, and displays them in the results.
![scrape-linkedin-profile-with-thunderbit-ai-extension.png](https://strapi.thunderbit.com/uploads/scrape_linkedin_profile_with_thunderbit_ai_extension_498120d720.png)

## Is It Legal to Scrape Emails from Websites?

Scraping publicly displayed email addresses is legal, but legality depends on how you scrape and use the data. Under legal frameworks, focus on the following:

- Comply with data protection regulations like [GDPR or China's PIPL](https://www.blog.datahut.co/post/guide-to-legal-and-transparent-data-practices-in-web-scraping-under-gdpr).
- Unauthorized collection and use of personal emails may constitute privacy infringement.
- Scraping should not violate the target website's terms of service or robots.txt directives.
- Ensure the purpose of scraping is legal and compliant, avoiding spam, [marketing abuse, or fraudulent activities](https://gdprlocal.com/legal-and-privacy-challenges-of-data-scraping-in-the-digital-age/).

In short, only scrape public information, avoid disrupting websites, and ensure proper data usage to avoid legal issues. Legal and compliant scraping is not just about avoiding risks but also respecting user privacy and trust.

## Conclusion

With AI Web Scrapers, email scraping is no longer a burden for sales teams. AI Web Scrapers are reshaping the lead generation process. Whether it's lead generation or qualification, browsing web target customer information, or specific personal data in PDFs, sales reps only need to set their goals, and AI Web Scrapers will gather the personal information. This not only boosts efficiency but also frees up time for sales reps to focus on building genuine relationships with customers.

Try our [AI Web Scraper](https://thunderbit.com/) now to get data faster! Start selling smarter today!
![sales-promo-ai-scraper-start-today-get-data-faster.png](https://strapi.thunderbit.com/uploads/sales_promo_ai_scraper_start_today_get_data_faster_6c4c7a8c07.png)

## What Else Can I Scrape using Thunderbit?

Thunderbit is more than just an email scraper. It helps you extract structured data from various web pages, covering more scenarios and richer information types.

### Leads Information 

- **Company Websites and Contacts**: Scrape basic information like company names, websites, contacts, emails, and addresses.
- **Business Directory Sites**: Extract company lists, categories, regions, and contacts in bulk.
- **Job Pages**: Extract job titles, descriptions, and locations from company careers pages to aid lead qualification.
- **Trade Shows and Exhibitor Lists**: Automatically extract exhibitor company information, booth numbers, and contacts to establish connections in advance.
- **LinkedIn Public Profiles**: Gather clues like positions, companies, and regions from public pages.
- **Forum and Community Pages**: Locate potential customer posts or questions to supplement industry insights.

### Competitor Information

- **Website Content**: Quickly extract key fields from product pages, pricing pages, and partner information.
- **News Reports**: Scrape related media article titles, publication dates, and source links to track competitor brand dynamics.
- **Customer Case Pages**: Organize the industries, customer sizes, and usage methods they serve to analyze competitor target markets.
- **Job Information**: Understand which departments they are expanding and which regions they are targeting.
- **Product Update Logs / Blogs**: Extract product iteration rhythms and core focus areas to understand competitor situations.

## FAQs

1. **Is email scraping legal?**

   Yes—**if done responsibly**. Scraping publicly available email addresses is generally legal, but legality depends on how the data is collected and used. You should avoid scraping from protected areas (e.g., behind logins), follow each website’s robots.txt guidelines, and never use the data for spam or deceptive marketing. Respect privacy laws like GDPR and China’s PIPL to stay compliant.

2. **What are the challenges of scraping emails manually?**

   Manual email scraping is time-consuming, repetitive, and prone to human error. Sales reps often spend hours copying and pasting contact info across multiple pages, which affects lead gen productivity. Traditional scrapers aren’t much better—they usually require template setup, HTML knowledge, or can break with dynamic layouts. AI-powered tools like Thunderbit eliminate these issues by understanding page structure automatically, even **across subpages or messy formats**.

3. **Why do sales teams scrape emails in the first place?**

   Because **email still converts**. Cold outreach, follow-ups, or lead nurturing—email remains one of the highest ROI channels in outbound sales. Scraping emails lets you build your lead list faster, enrich customer data, and personalize outreach at scale. With tools like Thunderbit, even non-technical users can find, extract, and export verified emails in minutes—whether from websites, PDFs, or platforms like LinkedIn.

## Learn More

- [How to Scrape Google Search Result Page (SERP) - 3 Methods](https://thunderbit.com/blog/scrape-google-search-results)
- [The Best Email Scrapers in 2025](https://thunderbit.com/blog/best-email-scrapers)
- [How to use AI to automatically extract your Email data](https://parabola.io/tool/how-to-use-ai-to-automatically-extract-your-email-data)
- [Use OpenAI ChatGPT to Scrape Millions of Email Addresses in Minutes](https://www.youtube.com/watch?v=kWhwCJqyBO8&t=2s)
- [What is Sales Data?](https://www.salesforce.com/sales/analytics/what-is-sales-data/)

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




Discover how to scrape emails from LinkedIn and websites using AI tools. Boost your sales strategy with efficient email scraping techniques.

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email-scraping

How to Scrape Emails from a Website using AI

If you’re a real estate agent or mortgage pro in 2025, you already know Zillow is the digital watering hole where buyers, sellers, and lenders gather. It’s not just a website—it’s practically the town square for American real estate. With over [**365 million monthly visits**](https://www.statista.com/statistics/381468/most-popular-real-estate-websites-by-monthly-visits-usa/#:~:text=Statista%20www,million%20monthly%20visits%20in%202024), Zillow’s reach is so vast that if you’re not fishing for leads there, you’re probably missing out on the biggest catch of the year. But here’s the catch (pun intended): finding *qualified* leads on Zillow is a whole different ballgame. Between sky-high lead costs, endless copy-pasting, and the wild goose chase for real phone numbers, it’s easy to feel like you’re running on a hamster wheel.

I’ve spent years in SaaS and automation, and I’ve seen firsthand how agents and teams burn hours wrangling Zillow data—only to end up with a handful of “tire kickers” and a spreadsheet full of typos. That’s why I’m excited to walk you through the real costs of Zillow leads, where to find the best ones, and how tools like [Thunderbit](https://www.thunderbit.com/) can help you work smarter (and maybe even get your weekends back). Let’s break down the numbers, the strategies, and the tech that’ll help you win the Zillow lead game in 2025.

## **Zillow Leads: What Are They and Why Do They Matter?**

![zillow-lead-types-and-importance.png](https://strapi.thunderbit.com/uploads/zillow_lead_types_and_importance_981d5f0049.png)

When we talk about “Zillow leads,” we’re talking about real people—buyers, sellers, and borrowers—who raise their hand on Zillow and say, “Hey, I’m interested.” These aren’t just random internet clicks; they’re folks actively looking to buy, sell, or finance a home. And in 2025, that’s gold.

### **Types of Zillow Leads**

- **Buyer Leads:** Home shoppers who click “Contact Agent” or “Request a Tour.” Zillow verifies their interest and connects them to agents, usually through the [Premier Agent program](https://www.zillow.com/premier-agent/#:~:text=,Request%20a%20Tour).
- **Seller Leads:** Homeowners thinking about selling—often found via the “Owner Dashboard,” home valuation pages, or FSBO (For Sale By Owner) listings.
- **Mortgage Leads:** Borrowers looking for financing, often funneled through Zillow’s [Mortgage Marketplace](https://ijungo.com/how-to-get-mortgage-leads-from-zillow/#:~:text=While%20potential%20buyers%20typically%20come,Qualified%E2%80%9D%20button%20to%20home%20listings) or the “Get Pre-Qualified” button.

Why do these leads matter? Because Zillow is where most home buyers *start* their journey ([The Close](https://theclose.com/zillow-premier-agent-worth-cost/#:~:text=Sam%2C%20that%E2%80%99s%20a%20fair%20point,against%20them%20will%20do%20well)). If you’re not connecting with them early, you’re probably chasing after leads who’ve already talked to three other agents.

## **Breaking Down Zillow Lead Costs in 2025**

Let’s talk dollars and sense. Zillow leads don’t come cheap, and the pricing structure is…well, let’s just say it’s more complicated than your average mortgage disclosure.

### **How Zillow Charges for Leads**

Zillow Premier Agent uses a **market-based pricing model**. You’re not paying a flat fee per lead; instead, you buy a “share of voice” in specific ZIP codes. The cost depends on:

- Local home values
- Demand in that ZIP
- Competition from other agents
- How many leads you want

### **Average Costs (2025 Benchmarks)**

<Table content={`| **Market Type**      | **Avg Cost per Lead** | **Agent-Reported Range** |
|----------------------|----------------------|-------------------------|
| Major Metro Areas    | ~$223                | $100–$500+              |
| Non-metro Areas      | ~$139                | $20–$75                 |`} />

In hot markets like San Francisco or NYC, agents have reported paying up to $450–$500 for a single lead. Meanwhile, in smaller towns, you might snag leads for $20 a pop. But don’t get too excited—Zillow’s monthly budgets often start around $1,000 in major metros, and can easily climb to $2,500–$4,000 or more ([Reddit](https://www.reddit.com/r/realtors/comments/124v9sf/how_much_do_you_pay_for_zillow_leads_monthly/#:~:text=%240)).

### **Premier Agent Pricing Tiers (Sample)**

<Table content={`| **Tier**   | **Monthly Cost** | **Leads per Month** | **Est. Cost per Lead** |
|------------|------------------|---------------------|-----------------------|
| Basic      | $100             | ~10                 | ~$10                  |
| Standard   | $200             | ~30                 | ~$7                   |
| Premium    | $300             | ~50                 | ~$6                   |`} />

*Note: These are sample numbers. In competitive ZIPs, $300 might only get you a handful of leads.*

### **Flex Program**

Zillow Flex is a “pay when you close” model—no upfront cost, but Zillow takes a **referral fee** (often 35–40% of your commission) when a deal closes ([AgentFire](https://agentfire.com/blog/frequently-asked-zillow-questions/#:~:text=Flex%20Pricing%3A%20Pay%20After%20You,Close)). It’s invite-only and can be a hefty price if you’re successful.

### **Mortgage Leads**

For lenders, Zillow’s mortgage leads typically cost $75–$120 each, but can range from $30 to $300+ depending on loan size and exclusivity ([iJungo](https://ijungo.com/how-to-get-mortgage-leads-from-zillow/#:~:text=within%20the%20marketplace%20also%20impacts,the%20cost)).

## **Where to Find Qualified Real Estate Leads on Zillow**

![zillow-qualified-real-estate-leads-sources.png](https://strapi.thunderbit.com/uploads/zillow_qualified_real_estate_leads_sources_8d809f4f00.png)

Okay, so you know what you’re paying for. But where do you actually *find* the best leads on Zillow? Here’s where agents and lenders get the most bang for their buck (and their time):

### **Main Sources of Zillow Leads**

1. **Property Listings** (including FSBO)
2. **Open House Pages**
3. **Agent Directory**
4. **Mortgage Information Pages**

Let’s break these down.

### **Sourcing Buyer and Seller Leads from Property Listings**

Property listings are the bread and butter of Zillow lead gen. Here’s how to approach them:

#### **For Sale By Owner (FSBO) Listings**

- **Seller Leads:** FSBO listings often display the owner’s phone number right on the page. For example, a Florida FSBO might say, “Property Owner (656) 207-2178” ([Zillow Example](https://www.zillow.com/homedetails/10924-Summerton-Dr-Riverview-FL-33579/68576308_zpid/#:~:text=Listed%20by%3A)). Even if the description says “no realtors,” a motivated seller may change their mind if the home sits unsold.
- **Buyer Leads:** Open houses on FSBOs are a great way to meet unrepresented buyers. If you’re a mortgage broker, you can reach out to FSBO owners and offer to help any buyers who need financing.

#### **Agent-Listed Properties**

- **Buyer Leads:** Look for listings with lots of “saves” and recent activity—these signal high buyer interest.
- **Seller Leads:** Listings with high “days on Zillow” and multiple price cuts often mean a motivated seller who might be open to a new agent.

#### **What to Look For**

- **Days on Zillow:** Older listings = more motivated sellers.
- **Price Cuts:** Multiple reductions = owner might be ready for help.
- **Views and Saves:** High numbers = lots of buyer interest.
- **Owner’s Remarks:** Read the description for clues about openness to agents.

### **Uncovering Mortgage Leads and Contact Information**

Zillow’s mortgage section is a goldmine for lenders and agents who want to partner up.

- **Mortgage Marketplace:** Borrowers click “Get Pre-Qualified” and become leads for lenders ([iJungo](https://ijungo.com/how-to-get-mortgage-leads-from-zillow/#:~:text=While%20potential%20buyers%20typically%20come,Qualified%E2%80%9D%20button%20to%20home%20listings)).
- **Lender Finder:** Users can search for local lenders and see profiles and reviews.
- **Contact Info:** FSBO listings often display owner phone numbers—prime for outreach.

If you’re a lender, you can also use the agent directory to find top-performing agents and offer your services as a preferred lender.

## **The Challenge: Manual Lead Collection and Its Pitfalls**

Here’s where things get real. Most agents spend hours each week copying and pasting Zillow data into spreadsheets. It’s like the world’s least fun game of “Where’s Waldo?”—except instead of finding Waldo, you’re hunting for phone numbers and hoping you didn’t transpose a digit.

### **Why Manual Lead Collection Is a Headache**

- **Time-Consuming:** Even at a few minutes per listing, building a list of 50–100 leads can eat up hours.
- **Error-Prone:** Manual data entry has about a [1% error rate](https://blog.beamex.com/manual-data-entry-errors#:~:text=What%20about%20the%201%20,typical%20error%20rate)—that’s one wrong phone number or email for every hundred fields.
- **Data Gets Stale:** Zillow updates constantly. Your spreadsheet is outdated the minute you finish it.
- **It Doesn’t Scale:** The more ZIP codes you cover, the more overwhelming it gets.
- **It’s Boring:** Let’s be honest—copy-pasting is nobody’s dream job.

I’ve seen agents burn out on this grind, and I get it. That’s why automation is the secret weapon for anyone serious about scaling their Zillow lead gen.

## **How Thunderbit AI Web Scraper Transforms Zillow Lead Generation**

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

Now, let’s talk about how to work smarter. At [Thunderbit](https://www.thunderbit.com/), we built an AI-powered Chrome extension designed to make Zillow lead collection as easy as ordering takeout. Here’s how it works (and why agents love it):

### **AI “Suggest Fields” and Subpage Scraping**

- **AI Suggest Fields:** Thunderbit’s AI reads the Zillow page and automatically suggests which data fields to extract—address, price, owner name, phone number, you name it. No need to set up custom scrapers for every page.
- **Consistent Data Structure:** Whether you’re scraping FSBOs, agent listings, or mortgage leads, Thunderbit outputs the same clean columns every time.
- **Subpage Scraping:** Need more details? Thunderbit can automatically click into each listing, grab the extra info (like owner phone numbers), and add it to your table. No more clicking back and forth.

<SideCard url={"https://thunderbit.com/template/zillow-property-scraper"} title={"Try the Zillow Property Scraper Template"} description={""} />
Check out our Zillow Property Scraper template for a quick start.

### **Automating Lead Collection with Scheduled Scraper**

- **Scheduled Scraper:** Set Thunderbit to automatically scrape Zillow every day, week, or whatever schedule you want. Wake up to a fresh list of leads—no manual work required.
- **Use Cases:** Daily FSBO updates, price monitoring, new listing alerts, you name it.

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

### **Data Accuracy and Formatting**

- **No Typos:** Thunderbit pulls data straight from Zillow’s HTML, so you avoid the copy-paste blues.
- **Smart Formatting:** Phone numbers, addresses, and other fields are formatted consistently—ready for outreach or import into your CRM.

### **Free Contact Detail Extraction**

- **Phone/Email Extractors:** Grab phone numbers or emails from any Zillow page in one click. Super handy for those quick “just need the number” moments.

### **Pre-built Templates**

- **Zillow Templates:** Use our pre-built templates for property search, property details, and more. These are updated as Zillow changes, so you don’t have to worry about maintenance.

## **Exporting and Organizing Zillow Leads for Outreach**

Collecting leads is only half the battle—you need to organize and act on them.

- **One-Click Export:** Send your data to Excel, Google Sheets, Airtable, or Notion for free. No paywall, no hassle.
- **CRM Integration:** Import your leads into your CRM (like Follow Up Boss, Top Producer, Salesforce) for follow-up and drip campaigns.
- **Team Collaboration:** Share Google Sheets with your team for live updates. With scheduled scraping, your inside sales agent can have a fresh list every morning.

**Pro Tip:** Use Zillow’s unique listing IDs (zpid) as a key in your CRM to avoid duplicates and keep your database clean ([Thunderbit Zillow Properties Search Scraper](https://thunderbit.com/template/zillow-properties-search-scraper#:~:text=Pricing%20The%20listed%20price%20of,code%20of%20the%20property%27s%20location)).

## **Maximizing ROI from Zillow Premier Agent and Lead Generation Tools**

![zillow-premier-agent-lead-generation-strategies.png](https://strapi.thunderbit.com/uploads/zillow_premier_agent_lead_generation_strategies_5ae093c6c7.png)

Let’s get down to brass tacks: how do you turn all these leads into closed deals (and make sure you’re not just burning cash)?

### **Conversion Strategies**

- **Speed to Lead:** Respond within 5 minutes—Zillow’s own data shows conversion rates drop sharply after 30 minutes ([The Close](https://theclose.com/zillow-premier-agent-worth-cost/#:~:text=minutes%20%E2%80%94%20Zillow%20data%20shows,Motivation)).
- **Use the ALM Script:** Appointment, Location, Motivation. Always aim to set a meeting, learn where else they’re looking, and understand their “why.”
- **Leverage Zillow Tools:** Use the Premier Agent app for instant responses and client insights.
- **Personalize Outreach:** Reference something specific from the listing (“Love that golf course view you mentioned!”) to show you’re not just robo-dialing.
- **Co-Marketing:** Partner with a lender to share ad costs and appear as a team on Zillow (just follow RESPA rules).

### **Track Your ROI**

- **Measure Everything:** Track how many leads you contact, how many respond, how many become clients, and how many close.
- **Adjust Spend:** If a ZIP code isn’t converting, reallocate your budget.
- **Continuous Improvement:** Use feedback and data to refine your approach.

### **Real-World ROI Examples**

- An agent in Connecticut spent ~$19,000 on Zillow ads and closed 15 deals, netting a [591% ROI](https://fivepillarsnation.com/zillow-leads/#:~:text=Jason%20Boice%20is%20a%20Realtor,up%20to%20%24131%2C250%20in%20GCI).
- Another spent $20,000/month in a high-end market and closed $2.3M in volume in one month ([Five Pillars Nation](https://fivepillarsnation.com/zillow-leads/#:~:text=%28%24131%2C250%20%2F%20%2419%2C000%29%20%3D%20591,ROI)).
- But if you spend $1,000 and close just one $5,000 commission, after splits and taxes, you might be in the red. Always know your numbers.

## **Key Takeaways: Smarter Zillow Lead Generation in 2025**

- **Zillow is the #1 real estate lead source** in the U.S., but leads are expensive and competition is fierce.
- **Qualified leads** come from property listings (especially FSBOs), open house pages, mortgage info, and agent directories.
- **Manual lead collection is slow, error-prone, and doesn’t scale.** Automation is the way forward.
- [**Thunderbit**](https://www.thunderbit.com/) makes scraping, organizing, and updating Zillow leads a breeze—with AI-powered field suggestions, subpage scraping, scheduled jobs, and free exports to your favorite tools.
- **Maximize ROI** by responding fast, personalizing your outreach, tracking every lead, and continuously refining your strategy.

## **FAQ: Zillow Leads & Smart Automation in 2025**

1. **How much do Zillow leads cost in 2025?**  
   Average costs range from **$139–$223 per lead**, but in hot ZIPs, agents report **$450+**. Premier Agent spend often starts at **$1,000/month** and goes up fast.

2. **Where can I find the best Zillow leads?**  
   Top sources include **FSBO listings** (owner phone numbers!), **open house pages**, and **mortgage pre-qual forms**.

3. **Why is manual Zillow scraping so painful?**  
   It’s slow, error-prone, and doesn’t scale. Zillow updates constantly—your spreadsheet’s outdated before you finish it.

4. **How does Thunderbit help?**  
   Thunderbit automates Zillow scraping with **AI field detection**, **subpage clicking**, and **scheduled updates**. Export to Sheets/CRM in seconds, no coding needed.

5. **Tips to boost ROI?**  
   Respond fast (within 5 min), personalize outreach, track every lead, and adjust budget by ZIP. Co-market with lenders to split costs.

**Further Reading & Sources:**

- [Zillow’s Monthly Visitor Stats](https://expandedramblings.com/index.php/zillow-statistics/#:~:text=Zillow%20has%20become%20one%20of,Zillow%20for%20a%20cash%20offer)
- [Zillow Premier Agent Pricing](https://www.zillow.com/premier-agent/#:~:text=The%20price%20for%20Zillow%20Premier,a%20tailored%20Premier%20Agent%20package)
- [Agent Testimonials & ROI](https://fivepillarsnation.com/zillow-leads/#:~:text=Jason%20Boice%20is%20a%20Realtor,up%20to%20%24131%2C250%20in%20GCI)
- [Thunderbit Zillow Scraper Templates](https://thunderbit.com/template/zillow-property-scraper#:~:text=You%20Can%20Also%20Use%20AI,to%20Scrape%20Zillow)

If you’re ready to stop copy-pasting and start closing more deals, give [Thunderbit’s Chrome Extension](https://chromewebstore.google.com/detail/hbkblmodhbmcakopmmfbaopfckopccgp) a try. Your future self (and your commission checks) will thank you.

For more tips and deep dives on scraping and automating real estate data, check out the [Thunderbit Blog](https://www.thunderbit.com/blog), including guides like [How to Scrape Website Data into Excel using AI](https://thunderbit.com/blog/scrape-website-data-into-excel) and [How to Scrape Any Website Using AI](https://thunderbit.com/blog/scrape-any-website-using-ai).

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


Discover Zillow lead costs, top sources for real estate and mortgage leads, and how to automate Zillow phone number collection in 2025. Try Thunderbit now.

Use AI to scrape webpages with zero effort.

large_zillow-lead-costs-and-qualified-leads-2025.png

medium_zillow-lead-costs-and-qualified-leads-2025.png

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zillow-leads-costs-and-how-to-find

Zillow Leads Costs and How to Find Qualified Leads in 2025

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.

**Try Using AI for Web Scraping**
<ArcadePlayer url={"https://demo.arcade.software/05Ynjgg2WctFSaWyGDFj?embed&embed_mobile=tab&embed_desktop=inline&show_copy_link=true"} ratioHeight={"49.166666666666664%"} />
_Try it! You can click, explore, and run the workflow as you watch._

## **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/)

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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

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.

**Give It a Go: Scrape the Web with AI**
<ArcadePlayer url={"https://demo.arcade.software/5b6fZYh6W0DA8rAY8GSb?embed&embed_mobile=tab&embed_desktop=inline&show_copy_link=true"} ratioHeight={"49.791666666%"} />
_Try it! You can click, explore, and run the workflow as you watch._

## **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)

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

Techniques & Guides