Wikipedia To Markdown avatar

Wikipedia To Markdown

Under maintenance

Pricing

from $50.00 / 1,000 article scrapes

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Wikipedia To Markdown

Wikipedia To Markdown

Under maintenance

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

Pricing

from $50.00 / 1,000 article scrapes

Rating

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Developer

Extreme Scrapes

Extreme Scrapes

Maintained by Community

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Bookmarked

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Monthly active users

5 days ago

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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.