The Thunderbit AI-Powered Wikipedia Scraper is a powerful tool designed to help you extract structured data from Wikipedia entries and search result pages. With , you can easily transform unstructured Wikipedia content into organized datasets. Whether you're a researcher, student, or data analyst, this tool simplifies the process of gathering information from one of the largest online encyclopedias.
📖 What Can You Scrape with Wikipedia Scraper?
1. Scrape Wikipedia Entry
The Wikipedia Scraper allows you to extract detailed information from any Wikipedia entry, such as section titles, URLs, summaries, media, and references. This is perfect for researchers and professionals who need to analyze or archive Wikipedia content.
Steps:
- Install the and register an account.
- Navigate to the .
- Click AI Suggest Columns, which recommends column names like Section Title, Content Summary, and more.
- Click Scrape to extract the data and download it in a structured format.
Column Names
| Column | Description |
|---|---|
| 📚 Section Title | The title of each section within the Wikipedia entry. |
| 🌐 Section URL | The direct link to the specific section of the page. |
| 📝 Content Summary | A brief summary of the content in each section. |
| 🖼️ Media/Images | Links to any media or images included in the section. |
| 📖 References | A list of references cited in the section. |
2. Scrape Wikipedia Search Result Page
The Wikipedia Scraper also supports extracting data from search result pages, making it easy to gather information about multiple topics at once. This is ideal for researchers or content creators looking to analyze search trends or compile data on related topics.
Steps:
- Install the and register an account.
- Navigate to the .
- Click AI Suggest Columns, which recommends column names like Result Title, Result URL, and more.
- Click Scrape to extract the data and download it in a structured format.
Column Names
| Column | Description |
|---|---|
| 📝 Result Title | The title of the search result. |
| 🌐 Result URL | The direct link to the search result. |
| 🖋️ Result Description | A brief description of the search result. |
| 📅 Last Modified Date | The date the page was last updated. |
| 📏 Result Size (words) | The word count of the search result page. |
🤔 Why Use Wikipedia Scraper Tool?
Scraping Wikipedia can provide valuable insights and save time for various professionals:
- Researchers: Quickly gather and organize data for academic or market research.
- Students: Extract summaries and references for projects or assignments.
- Content Creators: Analyze trends and compile information for articles or videos.
- Data Analysts: Collect structured data for analysis and visualization.
By using the Wikipedia Scraper, you can focus on analyzing the data rather than spending hours manually copying and pasting information.
🛠️ How to Use Wikipedia Scraper Chrome Extension
- Install the Thunderbit Chrome Extension: Download the extension from the and register your account.
- Navigate to the Wikipedia Page: Go to the Wikipedia entry or search result page you want to scrape.
- Activate AI-Powered Scraper: Click AI Suggest Columns to generate column names or customize columns to meet your needs.
- Run the Scraper: Click Scrape to extract the data and download it in a structured format.
💰 Pricing for Thunderbit Wikipedia Scraper
Thunderbit operates on a credit-based system, where 1 credit equals 1 scraped row. The tool is free to try, and additional plans offer flexibility for both occasional and high-volume users.
Plans:
| Tier | Monthly Price | Yearly Price | Yearly Total Cost | Credits/Month | Credits/Year |
|---|---|---|---|---|---|
| Free | Free | Free | Free | 6 pages | N/A |
| Starter | $15 | $9 | $108 | 500 | 5,000 |
| Pro 1 | $38 | $16.5 | $199 | 3,000 | 30,000 |
| Pro 2 | $75 | $33.8 | $406 | 6,000 | 60,000 |
| Pro 3 | $125 | $68.4 | $821 | 10,000 | 120,000 |
| Pro 4 | $249 | $137.5 | $1,650 | 20,000 | 240,000 |
Free Features:
- 6 pages per month on the Free Plan.
- 10 pages for free with the Free Trial, perfect for exploring the scraper’s features.
❓ FAQs
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What is the AI Powered Wikipedia Scraper?
The AI Powered Wikipedia Scraper is a specialized tool designed to extract structured data from Wikipedia entries and search result pages. It simplifies the process of gathering information by leveraging Thunderbit's AI-powered Chrome Extension, making it accessible to users without technical expertise.
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What is Thunderbit?
Thunderbit is a versatile Chrome Extension that uses artificial intelligence to simplify web scraping, data extraction, and automation tasks. It allows users to scrape data from websites, autofill forms, and summarize content, making it an essential tool for professionals in various fields.
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How many Wikipedia pages can I scrape with the free trial?
With Thunderbit’s free trial, you can scrape up to 10 Wikipedia pages for free. This allows users to explore the tool’s capabilities and decide if it meets their data extraction needs before upgrading to a paid plan.
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Can I customize the columns and data fields to scrape?
Yes, Thunderbit offers robust customization options that let you specify the exact data fields you want to extract. From section titles and URLs to content summaries and references, the scraper adapts to your requirements.
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How often can I run the scraper?
The frequency of running the scraper depends on your subscription plan and the number of credits available in your account. Higher-tier plans include more credits, allowing for larger-scale or more frequent data extractions.
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What happens if I run out of credits?
If you run out of credits, you can easily purchase additional credits on-demand or upgrade to a higher-tier subscription plan. This ensures that you have continuous access to the scraper’s features whenever you need them.
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Is it legal to scrape Wikipedia?
Scraping publicly accessible data from Wikipedia is generally permissible as long as you comply with applicable laws and Wikipedia’s terms of service. It is essential to use the data responsibly and ensure compliance with all relevant regulations.
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Can I scrape media and images from Wikipedia?
Yes, the Wikipedia Scraper can extract links to media and images included in Wikipedia entries. This feature is particularly useful for researchers and content creators who need access to visual content.
📚 Learn More
To learn more about Thunderbit and its features, visit the or check out the for tutorials and tips.