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Wikipedia Scraper

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Wikipedia Scraper

Wikipedia Scraper

Scrape Wikipedia articles by search term or exact titles via the official MediaWiki API — summary extract, page image, canonical URL and last-edited date. Keyless, clean JSON, no personal data.

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Pay per usage

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ScrapeForge

ScrapeForge

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Wikipedia Scraper — Article Summaries, Images & URLs via the Official API

Launch pricing: this actor currently adds no fee — run it on your Apify free-plan credits. Try it, bookmark it, wire it into your stack.

A Wikipedia scraper on the official MediaWiki API: scrape Wikipedia articles by search term or exact titles and get the intro summary, page image, canonical URL and last-edited date as clean JSON. As a Wikipedia API scraper it's never blocked, works in every language edition, and doubles as a Wikipedia article extractor for Wikipedia data extraction into RAG and enrichment pipelines.

Canonical knowledge, structured: search → top articles → clean summaries, in any of 300+ language editions.

Who uses this

  • RAG / LLM builders — intro extracts are dense, neutral grounding context with a canonical URL for citations.
  • Data enrichment teams — resolve entity names to a description, image and stable URL in one call.
  • Researchers & content teams — build topic corpora from any language edition.
  • Monitoring — diff lastEdited across scheduled runs to catch article changes.

Grounding LLMs on live tech discussion too? The Hacker News Scraper delivers the same clean JSON for the HN front page.

How it works

The actor resolves your input to article titles — either a MediaWiki full-text search on searchTerm or your explicit titles list — then fetches intro extracts, page images and canonical URLs in batches of 20 (the API's extract limit), following redirects. Failed searches, all-batches-failed and zero-article runs fail loudly instead of succeeding empty.

Output

One record per article:

{
"title": "Anthropic",
"pageId": 6206236,
"extract": "Anthropic, PBC is an American artificial intelligence (AI) company headquartered in San Francisco, California. It has developed a series of large language models (LLMs) named Claude and has a focus on AI safety...",
"url": "https://en.wikipedia.org/wiki/Anthropic",
"thumbnail": null,
"lastEdited": "2026-07-15T05:56:25Z",
"language": "en",
"scrapedAt": "2026-07-15T09:35:19.852Z"
}
  • extract is the article's intro section as plain text (no wiki markup, no HTML).
  • thumbnail is the page image at 320px, or null when the article has none.
  • url is the canonical article URL — use it for citations.

Input

FieldDefaultDescription
searchTermOpenAIKeyword to search; top matches are scraped. Ignored when titles is set
titlesExact article titles to fetch directly
languageenWikipedia language edition (en, de, fr, es, …)
limit10Max articles when searching by term

The default run needs no configuration — an empty input searches OpenAI on English Wikipedia.

Reliability & limits

  • Extracts are intro sections only, not full article bodies — ideal for summaries/grounding, not for full-text mining.
  • The MediaWiki API caps plain-text extracts at 20 per request; the actor batches automatically.
  • Content freshness is live (straight from the API); lastEdited tells you exactly how fresh each article is.

Paste this output into…

  • Google Sheets=IMPORTDATA("https://api.apify.com/v2/acts/exuberant_volley~wikipedia-scraper/runs/last/dataset/items?format=csv&clean=1&token=YOUR_TOKEN") for an instant reference table.
  • Make / n8n — feed a list of entity names as titles, fetch .../runs/last/dataset/items, and write extract + url back into your CRM or Airtable.
  • RAG ingestion (LLM builders) — chunk extract, embed it, and store url + lastEdited as metadata — you get citable, dated grounding snippets with zero cleaning.

ScrapeForge free data suite

One publisher, ten plug-and-play datasets — all currently free to run:

ActorWhat it delivers
Executive Changes TrackerNew CEO/CFO/board moves from SEC 8-Ks + official newswires — source-cited B2B trigger leadsrun it next →
IKEA Product ScraperNames, prices, ratings and images from any IKEA search or category pagerun it next →
Shopify Store ScraperAny Shopify store's full catalog — variants, SKUs, prices — via products.jsonrun it next →
App Store Apps ScraperApp rankings, ratings, prices and metadata by keyword, any countryrun it next →
Remote Jobs ScraperLive remote listings from RemoteOK + Remotive, keyword-filteredrun it next →
CoinGecko Market ScraperTop-coin prices, market caps and 24h moves — keylessrun it next →
GitHub Repositories ScraperRepo search with stars, forks, topics and licensesrun it next →
Hacker News ScraperTop/New/Best HN stories with scores and comment countsrun it next →
Wikipedia ScraperArticle summaries, images and URLs in any language — RAG-readyrun it next →
SEC EDGAR Filings ScraperAny US public company's filing history by tickerrun it next →

Compliance

  • No personal data — public encyclopedia content only.
  • Official API underneath — the MediaWiki API with a descriptive User-Agent; no HTML parsing.
  • Wikipedia text is CC BY-SA — keep attribution (the url field) when you republish extracts.
  • Records live only in your run's dataset; the actor keeps nothing beyond it.