Wikipedia Scraper
Trusted by professionals at leading companies
Extract Wikipedia data in two clicks
Point and extract Wikipedia data instantly
Manually copying data from Wikipedia is tedious. Thunderbit lets you grab infobox data, article text, categories, and more with zero code. Just point at the data you want, and with a second click, Thunderbit learns the fields and extracts them. No complicated setup or CSS selectors needed.
Thunderbit adapts to wikipedia's layout changes
Wikipedia's layout always seems to be changing, breaking traditional scrapers. Thunderbit uses semantic AI to understand the meaning of the page, not just fixed selectors. This means it adapts to layout changes automatically, so you can keep scraping article text, references, and other data without constantly fixing your scraper.
Export Wikipedia data to your tools
Stop wasting time copy-pasting data like table data and external links from Wikipedia into your spreadsheets. Thunderbit lets you export your scraped data to Google Sheets, Notion, or Airtable with a single click. It's the fastest way to get Wikipedia's data into the tools you already use.
Struggling to scrape Wikipedia effectively?
See why Thunderbit outperforms traditional scrapers for Wikipedia data extraction.
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Frequently asked questions
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Learn more ->Ready to supercharge your data extraction?
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