Wikipedia Category Scraper — Article Lists & Data
Extract structured article lists from any Wikipedia category page across 10 language editions. Get titles, URLs and optional first-paragraph summaries. Automatic subcategory discovery and multi-page navigation. No API key or authentication required.
Charged only on successful results.
Clean schema, ready for ETL.
2 users total
No setup — runs in the cloud on Apify.
What it returns
Extract structured article lists from any Wikipedia category page across 10 language editions. Get titles, URLs and optional first-paragraph summaries.
How to run it
- Open the actor on Apify (button above).
- Fill the input schema — most fields have sensible defaults.
- Click Run. Results land in the dataset within minutes.
- Export as JSON or CSV, or pull via the dataset API.
Guides for this scraper
Related scrapers
Airbnb Scraper - Listings, Prices & Reviews
Scrape Airbnb listings without login or API key: price, rating, reviews, room type, amenities, host & GPS coordinates. Export to CSV, JSON & Excel fast.
App Store Scraper — iOS App Data, Reviews & ASO API
App Store scraper for iOS app data, reviews, ratings, top charts, ASO keywords & privacy labels. No API key. Export CSV, JSON, Excel. 10 endpoints.
Apple Podcasts Scraper — Episodes, Audio URLs & RSS Data
Extract podcast shows and full episode lists from Apple Podcasts. Titles, descriptions, audio MP3 URLs, durations, publish dates, artwork, genres, transcripts. Via iTunes Search/Lookup API + RSS.