Wikipedia Scraper API — Articles, Summaries & Full Text

Get Wikipedia articles as clean, flat JSON — by title, by URL, or by keyword search — in any Wikipedia language. Every record has the lead summary, optional full plain text, categories, Wikidata ID, coordinates, thumbnail and last-edit timestamp. Uses only the official MediaWiki API: no HTML parsing, no proxies, no broken selectors. Built for RAG pipelines, knowledge graphs, content enrichment and AI agents.

Quick start

1. Click Start with the prefilled article, title and search. It finishes in under a minute.
2. You get up to 5 Wikipedia articles as clean JSON with summary, categories and links.
3. That first run costs at most $0.005, well within Apify's free monthly credit. Then swap in your own input or schedule it.

What you get

One record per article:

{
  "query": "https://en.wikipedia.org/wiki/Web_scraping",
  "found": true,
  "language": "en",
  "page_id": 2696619,
  "title": "Web scraping",
  "description": "Method of extracting data from websites",
  "summary": "Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites. Web scraping software may directly access the Worl...",
  "full_text": null,
  "word_count": null,
  "is_disambiguation": false,
  "categories": [
    "Web scraping"
  ],
  "wikidata_id": "Q665452",
  "thumbnail_url": null,
  "latitude": null,
  "longitude": null,
  "last_edited_at": "2026-09-09T23:43:46Z",
  "revision_id": 1374117169,
  "length_bytes": 34806,
  "article_url": "https://en.wikipedia.org/wiki/Web_scraping",
  "license": "CC BY-SA 4.0",
  "license_url": "https://creativecommons.org/licenses/by-sa/4.0/",
  "attribution_url": "https://en.wikipedia.org/w/index.php?curid=2696619&action=history",
  "source_url": "https://en.wikipedia.org/w/api.php?...",
  "fetched_at": "2026-09-13T12:27:04.922Z"
}

Use cases

• RAG & LLM grounding: pull summaries or full text for a list of topics in one run, with stable page IDs and revision IDs for citations.
• Entity enrichment: map names or keywords to Wikipedia pages, Wikidata IDs, categories and coordinates.
• Research datasets: collect articles for a keyword in any of 300+ languages.
• AI agents: tiny input schema, deterministic output — ideal via API or MCP.

Input

Field	Type	Notes
articles	string[]	Titles (Eiffel Tower) or URLs (https://de.wikipedia.org/wiki/Berlin)
searchQueries	string[]	Keywords; top matching articles per query
language	string	Language code for titles and searches (default en)
maxArticlesPerSearch	integer	Top N per search query (default 10, max 500)
fullText	boolean	Include the complete plain-text body (default false)

Redirects (e.g. UK → United Kingdom) are followed automatically. Disambiguation pages are flagged with is_disambiguation: true.

Policy: articles about individual people (Wikidata "instance of: human") are skipped and never charged. This Actor is for topics, places, organizations, products and concepts — not person profiles.

Pricing (pay per event)

Event	Price	Meaning
article-result	$1.00 per 1,000 ($0.001 each)	One article delivered. Not-found titles, skipped person articles, duplicates and empty runs are never charged. No start fee.

Example: 5,000 articles cost $5.00. You only pay for delivered results.

Related factpipe Actors

• Open Food Facts Scraper — Nutrition & Barcode Lookup API — food product and nutrition data
• SEC EDGAR Filings Scraper API — 10-K, 10-Q, 8-K Full-Text — full-text search of SEC filings

FAQ

Do I need a Wikipedia API key? No. The official MediaWiki API is open. The Actor identifies itself per Wikimedia's User-Agent policy and paces its requests.

Can I get the full article text, not just the summary? Yes. Set fullText: true to add the complete plain-text body and a word count to every record.

Which languages are supported? Every Wikipedia language edition. Set language (e.g. de, fr, ja) or pass URLs from any edition in the same run.

Can I use Wikipedia content commercially? Wikipedia text is licensed CC BY-SA 4.0: reuse is allowed, including commercially, with attribution and share-alike. Every record carries license, article_url and attribution_url so you can attribute correctly.

Can I call it from Python, JavaScript, Make, Zapier or an AI agent? Yes. Run it through the Apify API or official Python/JavaScript clients, connect it to Make, Zapier, n8n, Slack or Google Sheets via Apify integrations, or expose it to AI agents through the Apify MCP server. Input is small and output is deterministic flat JSON.

Reliability

Official MediaWiki and Wikidata APIs, batched requests, retries with backoff, polite rate limiting, structured failure reporting, daily health checks and issue triage.