Wikipedia Article Scraper

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Extract structured data from Wikipedia articles using the official MediaWiki API. Get article summaries, categories, images, metadata, and descriptions. Supports 300+ languages.

Features

• Extract article titles, summaries, and descriptions
• Get categories, images, and thumbnails
• Support for 300+ Wikipedia languages
• Two modes: scrape by URL or search by keyword
• Uses official Wikipedia REST + MediaWiki APIs
• No proxy or cookies required
• Lightweight HTTP-only (no browser)
• Proper rate limiting and User-Agent identification

Input

Example: Scrape by URL

{
"articleUrls":[
"https://en.wikipedia.org/wiki/Python_(programming_language)",
"https://en.wikipedia.org/wiki/Artificial_intelligence"
]
}

Example: Search by Keyword

{
"searchQueries":["machine learning","quantum computing"],
"maxArticlesPerQuery":3,
"language":"en"
}

Output

Use Cases

• Research — collect structured article data for academic or business research
• Content enrichment — augment your database with Wikipedia descriptions and metadata
• Knowledge graphs — build knowledge bases from Wikipedia's categorized data
• Education — gather article summaries for educational content
• SEO — analyze Wikipedia's coverage of topics in your niche
• Data science — use Wikipedia data for NLP training and analysis

FAQ

Is a proxy required?

No. Wikipedia's API is freely accessible. No proxy, cookies, or authentication needed.

What languages are supported?

All 300+ Wikipedia language editions. Set the language parameter to any valid code: en, fr, de, es, ja, zh, ru, pt, it, ar, ko, nl, pl, etc.

Are there rate limits?

Wikipedia asks for polite access with proper User-Agent headers. The scraper includes built-in delays (0.3-0.5s between requests) to respect Wikipedia's guidelines.

Can I scrape article content (full text)?

This scraper extracts the lead section summary. For full article text, the summary field contains a clean text extract of the opening paragraphs which is suitable for most use cases.