Pricing

from $1.00 / 1,000 results

Wikipedia Article Extractor Pro

Extract full article content from Wikipedia — search, categories, or URLs. Rich structured output with sections, categories, links, images. No API key needed, 100+ languages. Perfect for AI training data, knowledge bases, research.

Pricing

from $1.00 / 1,000 results

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Kragent

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🌐 Wikipedia Article Extractor Pro

Extract full article content from Wikipedia — search, categories, or URLs. Rich structured output. No API keys needed. 100% reliable.

✨ Why This Actor?

Wikipedia is the world's largest reference work — 60M+ articles across 300+ languages. Yet most tools only give you metadata (titles, dates, search results). This actor extracts the actual content.

Feature	What You Get
Search	57K+ results for most queries
Full Text	Complete article content, not just summaries
Structured Sections	Hierarchical sections with subsections
Categories	All wiki categories for filtering/classification
Links	Internal + external links (optional)
Images	Image filenames from every article (optional)
100+ Languages	Any Wikipedia language edition
$0 API Costs	Free, unlimited Wikimedia API — no API key needed

🚀 How To Use

1. Quick Search (Simplest)

{
  "mode": "search",
  "query": "Artificial intelligence",
  "maxArticles": 5
}

Returns 5 articles about AI with full text, sections, and categories.

2. Browse a Category

{
  "mode": "category",
  "query": "Machine learning",
  "maxArticles": 50,
  "includeCategories": true
}

Gets all 293 articles from the "Machine learning" category.

3. Specific Articles

{
  "mode": "urls",
  "titles": "Python (programming language)\nhttps://en.wikipedia.org/wiki/Deep_learning",
  "includeLinks": true,
  "includeImages": true
}

Extract specific articles by title or full Wikipedia URL.

📦 Output Format

Each article is returned as a rich JSON object:

{
  "title": "Machine learning",
  "page_id": 12345,
  "url": "https://en.wikipedia.org/wiki/Machine_learning",
  "language": "en",
  "summary": "Machine learning (ML) is a field of study...",
  "full_text": "Machine learning (ML) is a field... (58K chars)",
  "word_count": 8404,
  "sections": [
    {
      "title": "History",
      "text": "The term machine learning was coined in 1959...",
      "level": 0,
      "subsections": [...]
    }
  ],
  "categories": [
    "Category:Artificial intelligence",
    "Category:Machine learning"
  ],
  "links": {
    "internal": ["Algorithm", "Data mining", ...],
    "external": ["https://example.org/..."]
  }
}

🎯 Perfect For

Use Case	Why It Works
AI/LLM Training Data	Clean, structured text at massive scale
RAG Knowledge Bases	Extract articles → embed → query
Academic Research	Batch-download articles from any category
Multilingual NLP	Same content across 100+ languages
Content Creation	Research topics with structured data
SEO & Analysis	Article structure, word counts, categories

🌍 Language Support

Use any valid Wikipedia language code:

Code	Language
`en`	English
`hi`	हिन्दी (Hindi)
`mr`	मराठी (Marathi)
`fr`	Français
`de`	Deutsch
`es`	Español
`ja`	日本語
`zh`	中文
...	300+ more

⚡ Performance

Metric	Value
Articles per second	~3-5 (sequential)
Max batch size	500 articles
Avg article size	5K-15K words
API cost	$0 (free Wikimedia API)
Compute cost	Apify platform usage only

💰 Pricing

Pay-per-event — you only pay for articles successfully extracted.

Apify handles infrastructure, storage, and delivery
You get clean, structured data ready for any pipeline
No hidden costs, no API subscriptions

🔗 Links

👨‍💻 About the Developer

Built by Kragent — AI/ML engineer building reliable data extraction tools that just work. Based in Mumbai, India.

Contact: kragent66@gmail.com
Apify Profile: apify.com/noetic_caption

If you find this actor useful, consider leaving a review on the Apify Store! ⭐

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