AI Web Content Crawler - Markdown for LLMs

Extract clean, readable markdown content from any web page. Removes navigation, ads, footers, and boilerplate — outputs structured markdown optimized for LLM training, RAG pipelines, and AI agents. Pay-per-event pricing. $0.002/page.

LLM Markdown Crawler

sleek_waveform/llm-markdown-crawler

Crawl any website and extract clean, boilerplate-free Markdown optimized for LLMs, RAG pipelines, and AI training datasets. Uses Mozilla Readability to strip navigation and ads, then converts to clean Markdown. No browser required — fast and cheap.

Crawl any website and extract clean article text and Markdown, ready to feed into LLMs, ChatGPT, vector databases and RAG pipelines. Removes navigation, ads and boilerplate. Configurable crawl depth and page limits. Export to JSON, CSV, Excel.

Website to Markdown Crawler for LLM & RAG

logiover/website-text-markdown-crawler

Crawl any website to clean Markdown and plain text for LLM training and RAG. HTML to Markdown, no API or login. Export website text to CSV or JSON.

Crawl any website and extract clean text, Markdown, and HTML from every page — ready for LLM, RAG, and AI ingestion.

Crawl a whole website or docs site and get one clean, LLM-ready Markdown + JSON record per page (title, headings, content, links, token count). Built for RAG ingestion and AI knowledge bases.

Turn any URL into clean, LLM-ready Markdown + structured JSON (title, headings, main content, links, metadata, token count). Perfect for RAG pipelines, AI agents, and LLM context.

Website To Markdown

smart_api/website-to-markdown

Convert any webpage into clean, LLM-ready Markdown in seconds — perfect for AI training data, RAG pipelines, and content archiving.

Turn any website into clean, LLM-ready Markdown for RAG pipelines, AI agents and knowledge bases. Scrape single pages or crawl entire sites. Compliance-first: robots.txt honored.

Convert any webpage to clean markdown. Extracts main content, removes clutter, and outputs structured markdown for LLM ingestion, RAG pipelines, and content analysis.