Wikipedia scraper
Extract Wikipedia data in two clicks
Point and extract Wikipedia data instantly
Manually copying data from Wikipedia is tedious and error-prone. Thunderbit lets you extract infobox data, article text, categories, and more with zero code. Just point at the data you want, and with a second click, Thunderbit identifies the fields and pulls them into a clean table. No complicated setup or CSS selectors needed.
Thunderbit adapts to Wikipedia's layout changes
Wikipedia's layout is always evolving, and traditional scrapers break every time it does. Thunderbit uses semantic AI to understand the meaning of a page, not just fixed selectors. That means it adapts to layout changes automatically, so you can keep extracting article text, references, and structured data without constantly patching your scraper.
Export Wikipedia data to your tools
Stop wasting time copy-pasting table data and external links from Wikipedia into your spreadsheets. Thunderbit lets you export extracted data to Excel, Google Sheets, Notion, or Airtable with a single click. It's the fastest way to get Wikipedia's structured data into the tools you already use.
Struggling to scrape Wikipedia effectively?
See why Thunderbit outperforms traditional scrapers for Wikipedia data extraction.
Traditional scrapers
The old way of doing thingsThunderbit
The smarter approach
Frequently asked questions
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Learn more ->Ready to supercharge your data extraction?
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