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Wikipedia to Clean Markdown

Convert any Wikipedia article into clean, distraction-free Markdown. Strips infoboxes, references, navboxes, and edit links — leaving only the article content ready for AI/LLM consumption.

Features

• Accept titles or URLs — just type "Artificial intelligence" or paste the full URL
• Multilingual support — works with any Wikipedia language edition (en, de, fr, es, ja, etc.)
• Clean output — removes infoboxes, references, navboxes, edit sections, and sidebar noise
• Batch processing — extract multiple articles in a single run
• AI-optimized — structured Markdown ready for LLMs, RAG, and embeddings

How It Works

1. Provide article titles or Wikipedia URLs as input.
2. Optionally set the language code (default: English).
3. The Actor normalizes inputs, fetches articles, and strips noise.
4. Clean Markdown is stored in the Apify dataset.

Input

{
"startUrls":[
{"url":"Artificial intelligence"},
{"url":"https://en.wikipedia.org/wiki/Machine_learning"}
],
"language":"en"
}

Output

{
"url":"Artificial intelligence",
"normalizedUrl":"https://en.wikipedia.org/wiki/Artificial_intelligence",
"markdown":"# Artificial intelligence\n\nArtificial intelligence (AI) is..."
}

Use Cases

• Build knowledge bases from Wikipedia content
• Create AI training datasets from encyclopedia articles
• Feed factual content into RAG pipelines
• Generate study materials from Wikipedia

Keywords

wikipedia scraper, wikipedia to markdown, wiki extractor, wikipedia parser, wikipedia API

Pricing

$20 per 1,000 article extractions.