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Website to Markdown: AI & RAG Data Architect

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Website to Markdown: AI & RAG Data Architect

Website to Markdown: AI & RAG Data Architect

Convert any URL to clean Markdown for AI & RAG. Strips ads & junk for noise-free data. Perfect for OpenAI, Pinecone & LangChain. Advanced stealth browsing bypasses anti-bots. Blazing fast, token-efficient extraction for AI Agents and Vector Stores. Your essential AI Data Architect.

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🚀 Website to Markdown (RAG Ready): The Essential AI Data Architect

Transform any website into clean, structured Markdown optimized for LLMs, RAG pipelines, and AI Agents.

Feeding raw HTML to your AI models is like giving someone a library's worth of shredded paper. This actor uses Advanced Readability Algorithms and GFM (GitHub Flavored Markdown) conversion to extract only the "meat" of a webpage. No navbars, no footer junk, no ads—just pure, token-efficient knowledge.


✨ Why is this scraper better?

Feature❌ Standard Scrapers✅ This Scraper (AI-Native)
OutputMessy HTML / Plain TextStructured Markdown (GFM)
Token CostExtremely High (Junk tags)Low (Optimized for LLM context)
ReadabilityIncludes Menus, Ads, FootersArticle-only extraction (Readability engine)
SpeedSlow (loads all media)Blazing Fast (Resource blocking active)
AI ReadyNeeds manual cleaningDirectly ingestible into Vector DBs

🌍 Supported Content Types

We support extraction from virtually any web source:

  • 📰 News & Blogs: Clean article extraction with metadata.
  • 📚 Documentation: Perfect for technical docs (GitHub, ReadTheDocs).
  • 📝 Wiki & Knowledge Bases: Wikipedia, Notion-public pages, vb.
  • 🛍️ E-Commerce: Extract product descriptions without the clutter.
  • 🏢 Corporate Sites: Convert "About Us" and "Services" to AI-readable data.

📊 Data Fields Extracted

We provide high-quality fields designed for your RAG (Retrieval-Augmented Generation) needs:

  • Markdown Content: The full, cleaned article body in GFM format.
  • Title: The extracted page title.
  • Excerpt/Summary: A short description or lead paragraph.
  • Author & Date: Extracted metadata (where available).
  • Length: Character and word count for token estimation.
  • Cleaned HTML: For those who need a semi-structured intermediate.
  • URL & Scraped At: Full tracking for your database.

🛠 How to Use

  1. Identify a website or list of URLs you want to feed into your AI.
  2. Paste the URLs into the Start URLs field in the Actor input.
  3. (Optional) Set the Max Items limit to control your crawl depth.
  4. Click Start and get your clean Markdown dataset.

⚙️ Input Configuration Example (JSON)

{
"startUrls": [
{ "url": "https://openai.com/blog/introducing-openai-o1" }
],
"maxItems": 10,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"]
}
}

📦 Output Example (JSON)

Ready to be sent directly to Pinecone, Qdrant, Weaviate or your OpenAI Vector Store.

{
"title": "Introducing OpenAI o1",
"url": "https://openai.com/blog/introducing-openai-o1",
"markdownContent": "# Introducing OpenAI o1\n\nWe’ve developed a new series of AI models designed to spend more time thinking before they respond...",
"description": "A new series of reasoning models for complex tasks in science, coding, and math.",
"length": 4500,
"scrapedAt": "2026-01-12T15:20:00.000Z"
}