Wikipedia Scraper: Articles, Summaries, and Metadata, $0.50 per 1,000 Articles

Extract Wikipedia articles by title, URL, or Wikidata ID via the official MediaWiki API. Returns the article title, summary (first paragraph), full plaintext content, thumbnail image, lead image, all categories, geographic coordinates when applicable, the Wikidata Q-ID, pageviews over the last 30 days, and references to other languages. Supports 12+ languages including English, German, French, Spanish, Chinese, and Japanese. Ideal for AI training data, knowledge graph enrichment, RAG ingestion, and reference databases.

Open on Apify → Try it now

Pricing

$0.0005/article

RAM

128MB

Coverage

12+ languages

Output fields

20+

Proxy

Apify datacenter

Tech

MediaWiki API

What you get

Identity: title, page_id, wikidata_id (Q-ID), canonical_url, language
Content: summary (first paragraph), content (full plaintext), sections[], word_count
Visual: thumbnail_url, lead_image_url, image_count
Taxonomy: categories[], interwiki_links[] (other-language editions)
Geographic + popularity: coordinates (lat/lon if geo article), pageviews_30d, edit_count, last_edited_at

Primary use cases

AI training data. Build clean, structured corpora for LLM fine-tuning across topics and languages
Knowledge graph enrichment. Resolve company, person, or place entities to Wikidata Q-IDs and pull canonical descriptions
RAG ingestion. Feed Wikipedia content into vector databases as authoritative reference grounding
Multilingual reference databases. Pull the same article in 12+ languages for parallel-text projects
Topic monitoring. Track edit_count and last_edited_at to detect surges of public interest

API example

# Start a run via the Apify API
curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~wikipedia-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "queries": [
      "Stripe (company)",
      "OpenAI",
      "Eiffel Tower",
      "Albert Einstein",
      "Transformer (machine learning model)"
    ],
    "language": "en",
    "extractFullContent": true,
    "includePageviews": true
  }'

# Or use with AI agents via MCP:
# https://mcp.apify.com?tools=santamaria-automations/wikipedia-scraper

Integrations

n8n, Make, Zapier: trigger runs and process records via webhook
AI Agents (MCP): Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
Python, Node.js: Apify SDK for programmatic access
Google Sheets, Airtable: bulk input in, structured data out

Output fields

Field	Type	Example
title	string	Eiffel Tower
page_id	integer	9202
wikidata_id	string	Q243
summary	string	The Eiffel Tower is a wrought-iron lattice tower...
content	string	The Eiffel Tower (French: La Tour Eiffel)...
thumbnail_url	string	https://upload.wikimedia.org/wikipedia/commons/...
categories	array	["Eiffel Tower","Towers in Paris"]
coordinates	object	{"lat":48.8584,"lon":2.2945}
pageviews_30d	integer	512,847
canonical_url	string	https://en.wikipedia.org/wiki/Eiffel_Tower

Related Actors

HTML to Markdown: convert Wikipedia HTML to clean markdown for downstream LLM use
RSS Feed Reader: pair Wikipedia entities with current-event RSS sources
SEO Metadata Extractor: pull on-page SEO signals from any reference URL

Open on Apify → Try it now (free tier available)