Pricing

from $1.00 / 1,000 articles

Wikipedia Scraper — Articles, Summaries & Images

Scrape Wikipedia by search query or title: summary, description, full plain text, images, coordinates and canonical URL. Any language. No API key.

Pricing

from $1.00 / 1,000 articles

Rating

0.0

(0)

Developer

Hichem Ben Moussa

Actor stats

Bookmarked

Total users

Monthly active users

15 hours ago

Last modified

What you can do with it

🧠 Build a knowledge base / RAG corpus from clean article text
🏷️ Enrich entities (companies, people, places) with descriptions and images
🌍 Scrape the same topic across languages (en, es, fr, ar, ja …)
📍 Pull coordinates for places to plot on a map

Input

Field	Type	Description
`searchQuery`	string	Free-text search, e.g. `machine learning`. Returns the top matching articles.
`pageTitles`	array	Exact titles, e.g. `Apple Inc.`, `Alan Turing`. Overrides the search query.
`language`	string	Wikipedia language code (`en`, `es`, `fr`, `de`, `ar`, `ja` …).
`maxResults`	integer	Maximum number of articles to fetch.
`includeFullText`	boolean	Attach the full plain text (not just the summary).
`proxyConfiguration`	object	Optional proxy for high-volume runs.

Example — search

{ "searchQuery": "machine learning", "maxResults": 5 }

Example — specific articles with full text

{ "pageTitles": ["Alan Turing", "Apple Inc."], "includeFullText": true }

Output

Each item is one article:

{
  "title": "Apple Inc.",
  "description": "American multinational technology company",
  "extract": "Apple Inc. is an American multinational technology company headquartered in Cupertino, California…",
  "type": "standard",
  "lang": "en",
  "thumbnail": "https://upload.wikimedia.org/…/320px-Apple_logo.svg.png",
  "image": "https://upload.wikimedia.org/…/Apple_logo.svg.png",
  "coordinates": null,
  "pageId": 856,
  "url": "https://en.wikipedia.org/wiki/Apple_Inc.",
  "timestamp": "2026-07-20T10:00:00Z"
}

With includeFullText: true each item also has a fullText field with the complete plain-text article.

Notes

Data comes from the official Wikipedia REST & MediaWiki APIs.
Set language to scrape any Wikipedia edition; titles and search are language-specific.

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