Wikipedia Article Data: Summary, Facts & Images

Pull clean, structured data from Wikipedia articles in bulk. Look up a list of article titles, or search by keyword, and get one tidy row per article instead of messy page HTML.

Built for researchers, content and SEO teams, app builders and anyone building a knowledge base or AI dataset. Wikipedia is one of the most visited sites in the world, but its pages are built for reading, not for data. This turns them into rows you can drop into a spreadsheet or database.

Looking for view counts and trending topics instead? See our separate Wikipedia Trends Scraper. This actor is about article content and facts.

What you get for each article

• Summary: the opening of the article as clean plain text
• Short description: the one line under the title
• Main image: a thumbnail URL
• Map location: latitude and longitude for places
• Categories: what the article is filed under
• Language versions: how many languages the article exists in
• Wikidata ID: to join with structured data
• Page facts: page link, page size and the last edit date
• Found flag: missing or misspelled titles are clearly marked

Two ways to use it

1. By title: paste exact article names (Berlin, Marie Curie, Quantum computing).
2. By keyword search: type something like "electric cars" and get the top matching articles, fully expanded.

Pick any language edition (en, es, de, fr, ja and more).

Example output

{
  "title": "Berlin",
  "found": true,
  "pageId": 3354,
  "description": "Capital and largest city of Germany",
  "summary": "Berlin is the capital of Germany as well as its largest city...",
  "thumbnail": "https://upload.wikimedia.org/.../Berlin_Skyline.jpg",
  "latitude": 52.52,
  "longitude": 13.405,
  "categories": ["Capitals in Europe", "Port cities in Germany"],
  "languageCount": 268,
  "wikidataId": "Q64",
  "pageLengthBytes": 229903,
  "lastEdited": "2026-07-13T08:28:35Z",
  "url": "https://en.wikipedia.org/wiki/Berlin",
  "language": "en"
}

Pricing

$0.002 per article, and titles that do not exist are free. The first 2 rows of every run are free. Pulling 1,000 articles costs about $2.

How to run it via API

curl -X POST "https://api.apify.com/v2/acts/scrapemint~wikipedia-article-data/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"titles": ["Berlin", "Marie Curie"], "language": "en"}'

Or by keyword:

$-d '{"search": "electric cars", "searchLimit": 50}'

Frequently asked questions

Where does the data come from? The official MediaWiki API that Wikipedia itself runs. No scraping of page HTML, so the data is clean and stable.

Can I get the full article text? This returns the summary (the intro), which is what most uses need. The page link is included if you want the full article.

Which languages work? Any Wikipedia language edition. Set the language code and the titles or search run against that edition.

More tools from Scrapemint

• Wikipedia Trends Scraper: top and trending articles by country, with view counts.
• Google News Scraper: news headlines by topic.
• arXiv Papers Scraper: academic papers by topic and author.