Pricing

from $10.00 / 1,000 results

Wikipedia Scraper - Article Content Extractor

Scrape Wikipedia articles. Search by topic and extract full structured content: summaries, sections, infobox data, categories, references, images, and edit history for any article.

Pricing

from $10.00 / 1,000 results

Rating

0.0

(0)

Developer

lulz bot

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Wikipedia Scraper

Extract structured content from Wikipedia articles. Search by topic or provide direct article URLs to get summaries, full text, infobox data, categories, references, images, and metadata.

Features

Search by topic — find the most relevant Wikipedia articles for any query
Direct URL scraping — provide specific article URLs for targeted extraction
Structured content — articles are parsed into sections with headers
Infobox extraction — key-value data from article infoboxes (e.g., programming language details, country stats)
Multi-language — supports all Wikipedia language editions (en, es, fr, de, ja, etc.)
References — extracted reference list from each article
Categories & images — article classification and image file names

Input

Field	Type	Description
`searchQueries`	string[]	Topics to search (e.g., "artificial intelligence", "JavaScript")
`articleUrls`	string[]	Direct Wikipedia article URLs
`maxArticles`	number	Max articles per search query (default: 5)
`maxResults`	number	Max total results (default: 25)
`language`	string	Wikipedia language code (default: "en")
`extractSections`	boolean	Extract full section content (default: true)

Output

Each article includes:

{
    "title": "JavaScript",
    "pageId": 9845,
    "summary": "JavaScript is a programming language...",
    "content": "Full article text...",
    "sections": [
        { "title": "Introduction", "content": "..." },
        { "title": "History", "content": "..." }
    ],
    "infobox": {
        "Paradigm": "Multi-paradigm",
        "Designed by": "Brendan Eich",
        "First appeared": "December 4, 1995"
    },
    "categories": ["Programming languages", "Web development"],
    "images": ["File:JavaScript_code.png"],
    "thumbnail": "https://upload.wikimedia.org/...",
    "references": ["..."],
    "lastEdited": "2026-04-20T12:00:00Z",
    "url": "https://en.wikipedia.org/wiki/JavaScript",
    "language": "en"
}

Use Cases

Research — gather structured data on any topic
Knowledge bases — build datasets from Wikipedia's encyclopedia
NLP training data — extract clean text with metadata
Fact-checking — cross-reference claims with Wikipedia sources
Content enrichment — add Wikipedia context to your applications

Pricing

This actor uses pay-per-event pricing at $0.005 per article scraped.

Notes

Uses the official Wikipedia API (free, no auth required)
HTML is fetched for infobox and reference extraction
Rate-limited to be respectful of Wikipedia servers
Article content is capped at 50,000 characters per article

📚 Wikipedia Scraper — Articles & Knowledge Data

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Extract structured data from Wikipedia — article text, infoboxes, categories, references & links. Build knowledge bases, AI training datasets & research tools. Pay per article.

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

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

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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.

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Extract BBC News articles — headlines, full text, authors, timestamps, topics. NewsAPI, GDELT & Webhose alternative for media monitoring, sentiment analysis and global news intelligence pipelines. Pay per article, no subscription.

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

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Researchgpt Deep Research Agent

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🔬 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.

Varun Chopra

🕷️ Website Crawler — Full-Site Scraping for AI

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Crawl entire websites for clean text, markdown or HTML. Perfect for RAG pipelines, AI training & content analysis. Handles JS-rendered pages. Alternative to Firecrawl & Jina. Pay per page.

Stephan Corbeil