Scrape Wikipedia at scale, instantly
Pull article content, metadata, and revision history from Wikipedia without manual work. Search by keywords, handle pagination, and analyze contributor data automatically.
Actions you can perform with Wikipedia Scraper
Extract detailed article information from Wikipedia URLs
Find Wikipedia articles using keyword search with pagination
Real-world automations you can build today
Automatically gather article content and metadata for competitive analysis or market research.
Monitor Wikipedia revision history and contributor activity for content updates and edits.
Extract references and structured data from multiple articles to populate internal databases.
Chain scraping operations with other tools to create end-to-end research and reporting pipelines.
Get started in minutes
Add Wikipedia Scraper to your TaskAGI workflow—no API keys or authentication required.
Set your search keywords, pagination preferences, and specify which data types to extract.
Create your automation by chaining scraper operations with other tools or data destinations.
Run your workflow manually or schedule it to scrape on a recurring basis.
Connect Wikipedia Scraper to all your favorite tools
Start building powerful AI agents that connect Wikipedia Scraper with 365+ other apps.
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