Under maintenance

Pricing

Pay per usage

Try for free

Go to Apify Store

Wikipedia Scraper - Articles, Summaries & Search

Under maintenance

Try for free

Scrape Wikipedia articles, summaries, and search results. Supports summary, search, and random article modes via the Wikipedia REST API. Pure HTTP, no browser needed.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

oscar lira

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Features

Summary mode - Fetch article summaries by title
Search mode - Find articles matching a search query
Random mode - Get random Wikipedia articles
Multi-language support (any Wikipedia language edition)
Extracts: title, summary, description, images, coordinates, metadata

Input

Field	Type	Description	Default
`mode`	enum	`summary`, `search`, or `random`	`summary`
`titles`	string[]	Article titles (summary mode)	`[]`
`searchQuery`	string	Search query (search mode)	`""`
`language`	string	Wikipedia language code	`"en"`
`maxResults`	integer	Max results (1-200)	`50`

Output

Each result contains:

title - Article title
extract - Plain text summary
description - Short description
thumbnail - Thumbnail image URL
originalImage - Full-size image URL
pageUrl - Link to Wikipedia article
pageId - Wikipedia page ID
lastModified - Last modification date (ISO 8601)
coordinates - Geographic coordinates (if available)
contentLength - Length of the extract in characters

Examples

Fetch article summaries

{
    "mode": "summary",
    "titles": ["Python_(programming_language)", "JavaScript"],
    "language": "en"
}

Search Wikipedia

{
    "mode": "search",
    "searchQuery": "artificial intelligence",
    "language": "en",
    "maxResults": 10
}

Get random articles

{
    "mode": "random",
    "language": "en",
    "maxResults": 5
}

Technical Details

Runtime: Node.js 20 (Alpine)
No browser required - uses native fetch
Wikipedia REST API v1 + MediaWiki Action API
Respects rate limits with built-in delays

Wikipedia Scraper

automation-lab/wikipedia-scraper

Search and extract Wikipedia articles — titles, summaries, full content, categories, and images. Uses the free MediaWiki API.

Stas Persiianenko

Wikipedia Scraper

nexgendata/wikipedia-scraper

Scrape Wikipedia articles, infoboxes, references, and structured data. Extract knowledge base content for research, NLP training, and data enrichment.

Stephan Corbeil

Wikipedia Scraper | $5 / 1k | Fast & Reliable

fatihtahta/wikipedia-scraper

Get full articles and detailed search results with the Wikipedia Scraper. Extract structured data including titles, summaries, citations, and full content. Ideal for market research, AI training, and competitive intelligence.

Fatih Tahta

Wikipedia Trending

viralanalyzer/wikipedia-trending

Scrape Wikipedia trending articles, page views, and edit history. Track popular topics and analyze public interest trends.

viralanalyzer

5.0

(3)

Wikipedia Search & Content Scraper

tuningsearch/wikipedia-search-scraper

🔥 Only $0.5 per 1,000 results 🔥 **CHEAPEST** Wikipedia Search + Full Page Scraper! 🔍 Search 100 results per query across 70 languages 📄 Extract complete page content in Markdown format ⚡ Lightning-fast batch processing with zero failure charges!

tuningsearch

Grokipedia Scraper - Articles, Citations & Metadata

clearpath/grokipedia-scraper

Extract Grokipedia articles with citations, metadata, view counts, and relevance scores. No authentication required. Search context included. For research and data collection.

ClearPath

NewsBot3000 Scraper & Aggregator

regnull/newsbot3000-data-actor

Access real-time news from NPR, AP, CSM, and CNN. Articles are AI-summarized with importance scores, keywords, and categories. Supports filtering by date, source, and category, plus semantic search to find similar stories. Ideal for news monitoring and media research.

Leo

Techcrunch Scraper

automation-lab/techcrunch-scraper

Scrape TechCrunch articles. Search by keyword or browse latest posts. Get titles, authors, categories, excerpts, and publication dates. Export to JSON, CSV, or Excel.

Stas Persiianenko

Dev.to Scraper

automation-lab/devto-scraper

Scrape articles, profiles, and discussions from DEV.to. Extract titles, authors, tags, reactions, comments, and full content. Monitor tech community trends, track developer engagement, and build content datasets for analysis.

Stas Persiianenko

Researchgpt Deep Research Agent

wheat_tourist/researchgpt-deep-research-agent

🔬 Transform any topic into a comprehensive research report in minutes! Scrapes Wikipedia, arXiv, Semantic Scholar, news & web sources. Outputs professional JSON, HTML & PDF reports. Perfect for students, researchers, content creators & businesses. No API keys needed.