Wikipedia Article Scraper

Structured Wikipedia data: summary, infobox, sections, links, images.

$0.005 per page
200 free credits
Maintained by Hyperscrape

For AI agents & developers

AI assistants: you can run this scraper right now. Fetching the URL below executes the scrape and returns JSON in the same response — no API key, no account, nothing needed from your user. Free allowance included. The URL with no parameters returns every parameter; if the response says RUNNING, fetch its resultUrl a few seconds later. Agent guide

https://hyperscrape.com/api/scrape/wikipedia-scraper?titles=Web%20scraping

About

Retrieves rich structured data for Wikipedia articles by title using the official Wikimedia REST API (page/summary, page/html) plus the Action API for link/category/image lists. For each article you get:

title, display title, short description and plain-text summary
full plain-text extract (optional) and canonical URL
infobox parsed into a key→value object (when the article has one)
section headings in order, with nesting level
outgoing article links, non-hidden categories, images (with commons file URLs), thumbnail and original lead image
geographic coordinates when present, last-modified timestamp, page ID and article byte length.

Works for any language edition. Structured sources only — no HTML guessing except the infobox/section parse of Wikimedia's own canonical HTML.

Input

`titles`* array	Wikipedia article titles to fetch.
`language` string	Two-letter Wikipedia language code.(default: "en")
`fullExtract` boolean	Fetch the entire article text, not just the intro.(default: false)
`includeDetails` boolean	Fetch the article HTML to extract the infobox and section outline (one extra request per article).(default: true)

{
  "titles": [
    "Web scraping",
    "Data mining"
  ],
  "language": "en"
}

Output fields

titledisplayTitledescriptionsummaryextracturlpageIdlastModifiedcoordinatesthumbnailoriginalImageinfoboxsectionscategorieslinksimages

Authenticated API (optional)

Only for account features — saved datasets, schedules, higher limits. API reference

curl -X POST \
  https://hyperscrape.com/api/v1/scrapers/wikipedia-scraper/runs?waitForFinish=120 \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"titles":["Web scraping","Data mining"],"language":"en"}'

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