Wikipedia — Article Summaries & Search to JSON

Get clean Wikipedia article summaries by title or search — as JSON, in any language. Pass article titles or search queries and get back a tidy row per article: title, short description, extract, thumbnail, coordinates and URL. Powered by the official Wikipedia API — no API key, no anti-bot.

The easy way to pull encyclopedic knowledge into apps, datasets and AI pipelines.

Who uses this

• 🤖 AI / LLM & RAG pipelines — feed clean article extracts to your models.
• 🔎 Researchers & analysts — build knowledge datasets on any topic.
• ✍️ Content & education tools — enrich pages with summaries and thumbnails.
• 🌍 Localization — pull the same topic in multiple languages.
• 🧑‍💻 Developers — a clean Wikipedia endpoint by title or search.

What you get — one clean row per article

Field	Description
title	Article title
description	Short description
extract	Clean summary text
thumbnail + image	Images
lang	Language
pageId	Wikipedia page ID
latitude + longitude	Coordinates (for places)
wikibaseItem	Linked Wikidata ID
url, timestamp, scrapedAt	Link & provenance

Example

Input

{ "titles": ["Alan Turing", "Python (programming language)"], "searchQueries": ["machine learning"], "language": "en", "resultsPerQuery": 10 }

Output (one item)

{
  "title": "Alan Turing",
  "description": "English mathematician and computer scientist (1912–1954)",
  "extract": "Alan Mathison Turing was an English mathematician, computer scientist, logician...",
  "lang": "en", "pageId": 1208,
  "wikibaseItem": "Q7251",
  "url": "https://en.wikipedia.org/wiki/Alan_Turing"
}

Why this actor

• ✅ Official source — the Wikipedia API, always current.
• 🌐 Any language — set the language code (en, fr, de, es…).
• 🔎 Title or search — exact titles or keyword queries.
• 🧹 Clean extracts — plain-text summaries, ready for LLM/RAG.
• ⚡ Fast & affordable — pay only per article returned. No key, no anti-bot.

Input options

• titles — exact article titles.
• searchQueries — keyword searches.
• language — Wikipedia language code (default en).
• resultsPerQuery — cap results per search query.

FAQ

Title or search? Both — pass titles for exact articles and searchQueries for keyword search.

Which languages? Any Wikipedia language — set language (e.g. en, fr, de, es, ja).

Is the summary clean text? Yes — extract is plain text, ideal for LLM/RAG ingestion.

How fresh is the data? Live from the Wikipedia API on every run.

Can I export to CSV/Excel/Google Sheets? Yes — the dataset exports to JSON, CSV, Excel and HTML, or pull it via the API.

What does it cost? Pay-per-article — you're only charged for articles actually returned.

---

Tip: pair this with the Wikidata actor to enrich articles with structured facts via the wikibaseItem ID.