webclaw

POST /v1/scrape

Web scraping built for LLMs.

Turn any URL into clean, LLM-ready content with one call.

Send a URL, get back markdown, JSON, structured text, or raw HTML, stripped of nav, ads, and boilerplate. Built in Rust, returns static pages in around 118ms, and handles JavaScript rendering and bot protection automatically.

View docs

What you get

Everything in one call.

LLM-ready formats

Choose markdown, JSON, llm, text, or raw HTML per request. No HTML parsing on your side.

~90% fewer tokens

Boilerplate, nav, and ads are stripped so your model spends tokens on signal, not chrome.

Protected sites, handled

JavaScript rendering and bot-protection bypass kick in automatically when a page needs them.

Rich metadata

Title, description, language, status, and timing come back alongside the content on every call.

How it works

From URL to output in four steps.

01

Send a URL

POST the URL plus an optional format. There's no infrastructure to run and no proxies to manage on your side.

02

We fetch it

The engine fetches the page and automatically handles JavaScript rendering and bot protection only when the page needs it.

03

Content is cleaned

HTML is parsed and converted to your chosen format, with boilerplate removed.

04

Structured output returned

Clean content plus metadata comes back, ready to pass to any LLM, vector store, or pipeline.

API

One request, structured back.

The web scraper your AI agent deserves

Turn any website into LLM-ready markdown, JSON, or structured data. Handles protected sites and returns static pages in around 118ms.

  • One credit pool, every endpoint
  • ~90% fewer tokens than raw HTML
  • Self-host the open-source core for free

FAQ

Frequently asked questions.

Book a call

POST the URL to /v1/scrape with the markdown format. webclaw fetches the page, strips nav, ads, and boilerplate, and returns GitHub-flavored markdown ready for an LLM, with no HTML parsing on your side.

Ship an agent that actually sees the web.

One credit pool, every endpoint. Cancel anytime, or self-host the open-source core for free.

API docs