Website to Markdown on any URL
One API call. Clean, LLM-ready Markdown — even from sites behind WAFs, JS challenges, and bot-detection. Drop it straight into RAG pipelines, Custom GPTs, or agent tools.
Pair with success-only billing — you don't pay for pages we can't deliver.
curl -X POST https://publisher.scrappey.com/api/v1 \
-H "Content-Type: application/json" \
-d '{
"cmd": "request.get",
"url": "https://example.com/article",
"markdown": true
}'Built for AI workloads
Where Markdown output matters most
RAG pipelines
Pull clean Markdown from URLs you are authorized to access into your retriever — no HTML noise, no scripts, no styling junk. Stable structure means better chunking and embeddings.
Custom GPTs and Claude Projects
Upload Markdown files straight into Custom GPTs, Claude Projects, or any knowledge base. Scrappey handles the fetch and conversion; the model sees clean prose.
AI agents with web access
Give your agent a tool that returns Markdown from JavaScript-heavy URLs you are authorized to access. Works with LangChain, LlamaIndex, and MCP-compatible hosts.
Research and evaluation datasets
Build reproducible, text-clean corpora from public web pages. Markdown preserves headings and lists, which matters for downstream training and eval.
Why Scrappey Markdown
What sets this apart from HTML-only converters
Works on JavaScript-heavy sites
Most Markdown tools fail silently on sites behind a CDN or JS verification flow. Scrappey handles the browser rendering and verification workflow first, converts second.
Clean, consistent output
We strip scripts, styles, and layout chrome, then convert to Markdown using a tuned readability pipeline. Headings, lists, and tables survive.
One API, one rate
The Markdown mode is not a separate product. It is a parameter on the same API you use for HTML or JSON — same pay-as-you-go rate.
LLM-aware defaults
Output is opinionated for language-model consumption — no base64 images, no redundant whitespace, stable section order.
What the output looks like
Clean structure. No script tags, no tracking pixels, no style bloat.
https://example.com/articles/ web-scraping-2026
# Web Scraping in 2026 The scraping landscape has shifted... ## Key trends - Modern website complexity is now table stakes - LLM-ready output is a new expectation - Pay-as-you-go pricing is rising ## Further reading 1. [Introduction to RAG](/intro) 2. [Structured data extraction](/json)
Frequently asked
How is this different from /tools/markdown-converter?
Does it work on sites behind bot-protection walls?
Can I also get raw HTML or JSON?
Is there a LangChain / LlamaIndex / MCP integration?
Turn any URL into LLM-ready Markdown
A free demo trial to start. No credit card. No subscription.
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