Website to Markdown converter for LLMs

Paste any URL and get the page back as clean Markdown — headings, lists, tables and links kept, navigation and cookie banners stripped. The fetch runs through residential proxies with a real browser TLS identity, so pages that block simple scripts convert too. Free, no account.

How it works

  1. Paste a URL. Any public page — an article, a docs page, a product page, a listing.
  2. We fetch it like a real browser. The request exits through a residential proxy with a genuine Chrome TLS handshake; if the site challenges bots, the fetch escalates to a stealth headless browser automatically.
  3. You get clean Markdown. The page is stripped of navigation, footers and cookie chrome, tables become GFM tables, links are absolutized. Copy it or download the .md file.

Why Markdown is the right input for an LLM

Raw HTML wastes the context window on tags, scripts and boilerplate the model has to read and then ignore. Markdown keeps exactly the structure a model reasons over — heading hierarchy, lists, tables, link text — and drops everything else, so the same page typically fits in a fraction of the tokens. That matters three times over: prompts cost less, more source material fits in one request, and answers ground on content instead of markup noise. It is why scraping stacks aimed at RAG pipelines and agents standardised on Markdown as the interchange format.

What makes this converter different

Most URL-to-Markdown tools do a plain HTTP GET from a datacenter IP. That works on friendly pages and fails on the ones you actually need: sites behind anti-bot walls, geo-restricted pages, JavaScript apps that render client-side. This tool is a front end over a production scraping API — the fetch leaves from a residential IP, presents a real browser TLS fingerprint, and switches to a hardened headless browser when the page pushes back. If the page loads for a human, it converts.

Same conversion, as an API

This page is the free, rate-limited face of one endpoint. From code, the identical conversion is one POST:

curl -X POST https://api.quanticdata.io/v1/scrape \
  -H "Authorization: Bearer $QD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://example.com/article", "format": "markdown"}'

Pages are billed at $0.0002 each, and every account gets $2 of free credit each month — no card. The API docs carry Python and Node versions of the same call, and the MCP server exposes it as a tool an AI agent can call directly.

Questions about converting websites to Markdown

Is the website to markdown converter free?

Yes. The tool on this page is free and needs no account — just a quick bot check. It allows 8 conversions per minute and trims output at 60,000 characters. The API behind it has a free tier too: every account gets $2 of credit every month with no card.

Does it work on JavaScript-heavy sites?

Yes. Tick Render JavaScript and the page is loaded in a real headless browser before conversion, so client-side apps, infinite scroll pages and content injected after load come out as Markdown instead of an empty shell.

Why does this tool succeed where my Python script gets blocked?

Every fetch goes through residential proxies with a real Chrome TLS fingerprint, and escalates to a stealth browser when the page challenges bots. A plain requests or fetch call fails those checks at the transport layer, before your code even runs.

Is there a website to markdown API?

Yes — this page is a thin front end over the QuanticData scrape endpoint. One POST with a URL returns Markdown, HTML or text as JSON, from curl, Python or Node. The docs show ready-to-paste snippets for each language.

Can an AI agent call this by itself?

Yes. The same conversion is exposed through the QuanticData MCP server, so Claude, Cursor and other MCP clients can turn URLs into Markdown as a native tool call, without you copy-pasting anything.

How do I convert an entire website, not one page?

Use the crawl API: it discovers a site's URLs from sitemaps and internal links, fetches every page and returns each one as Markdown — the usual way to build an llms.txt file or a RAG corpus from a whole site.

Why feed Markdown to an LLM instead of HTML?

Markdown keeps the structure a model actually uses — headings, lists, tables, links — and drops markup, scripts and boilerplate. The same page typically shrinks several-fold in tokens, which means lower cost and better answers from the same context window.

One page was easy. Now do ten thousand.

The API behind this tool converts pages at $0.0002 each, with $2 of free credit every month.

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