Wikipedia Scraper
Pricing
Pay per usage
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.
Pricing
Pay per usage
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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
lastEditedacross 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"}
extractis the article's intro section as plain text (no wiki markup, no HTML).thumbnailis the page image at 320px, ornullwhen the article has none.urlis the canonical article URL — use it for citations.
Input
| Field | Default | Description |
|---|---|---|
searchTerm | OpenAI | Keyword to search; top matches are scraped. Ignored when titles is set |
titles | — | Exact article titles to fetch directly |
language | en | Wikipedia language edition (en, de, fr, es, …) |
limit | 10 | Max 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);
lastEditedtells 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 writeextract+urlback into your CRM or Airtable. - RAG ingestion (LLM builders) — chunk
extract, embed it, and storeurl+lastEditedas 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:
| Actor | What it delivers | |
|---|---|---|
| Executive Changes Tracker | New CEO/CFO/board moves from SEC 8-Ks + official newswires — source-cited B2B trigger leads | run it next → |
| IKEA Product Scraper | Names, prices, ratings and images from any IKEA search or category page | run it next → |
| Shopify Store Scraper | Any Shopify store's full catalog — variants, SKUs, prices — via products.json | run it next → |
| App Store Apps Scraper | App rankings, ratings, prices and metadata by keyword, any country | run it next → |
| Remote Jobs Scraper | Live remote listings from RemoteOK + Remotive, keyword-filtered | run it next → |
| CoinGecko Market Scraper | Top-coin prices, market caps and 24h moves — keyless | run it next → |
| GitHub Repositories Scraper | Repo search with stars, forks, topics and licenses | run it next → |
| Hacker News Scraper | Top/New/Best HN stories with scores and comment counts | run it next → |
| Wikipedia Scraper | Article summaries, images and URLs in any language — RAG-ready | run it next → |
| SEC EDGAR Filings Scraper | Any US public company's filing history by ticker | run 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
urlfield) when you republish extracts. - Records live only in your run's dataset; the actor keeps nothing beyond it.