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Pay per usage

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AI Website to Clean Markdown & RAG Chunk Extractor

Try for free

Converts websites, documentation portals, and articles into clean LLM-ready Markdown and token-sized RAG chunks for OpenAI, Claude, LangChain, and vector databases.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Kabeer Ahmed

Actor stats

Bookmarked

Total users

Monthly active users

9 hours ago

Last modified

Key Features

Clean Boilerplate Removal: Automatically focuses on <main> / <article> content and strips noisy DOM nodes (<script>, <style>, <nav>, <footer>, cookie banners).
Structured Markdown Output: Preserves heading hierarchies (H1-H6), bulleted/numbered lists, blockquotes, and fenced code blocks.
Ready-to-Embed RAG Chunks: Splits long pages into configurable word/token chunks with sectionHeading, wordCount, and estimatedTokens metadata for direct ingestion into OpenAI Embeddings, Pinecone, Qdrant, LangChain, or LlamaIndex.
Optional Same-Domain Subpage Crawling: Enable crawlSubpages to ingest entire documentation portals in a single run.

Output Example

{
  "url": "https://kabeer.site",
  "domain": "kabeer.site",
  "title": "Kabeer Ahmed | Full-Stack Developer & UI/UX Engineer",
  "wordCount": 420,
  "estimatedTokens": 559,
  "totalChunks": 2,
  "headingsCount": 8,
  "codeBlocksCount": 0,
  "markdown": "# Kabeer Ahmed\n\nFull-Stack Developer & UI/UX Engineer...",
  "ragChunks": [
    {
      "chunkIndex": 0,
      "sourceUrl": "https://kabeer.site",
      "sectionHeading": "Kabeer Ahmed",
      "wordCount": 280,
      "estimatedTokens": 373,
      "content": "..."
    }
  ]
}

Built By

Kabeer Ahmed — Full-Stack Engineer & Automation Developer (kabeer.site)

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