By use case · Crawl for LLMs

Crawl a website to LLM-ready data, page by page

The short answer

To crawl a website for an LLM, walk the site from a seed URL, render each page so JavaScript content is present, strip navigation, ads and boilerplate, and save what is left as markdown with the source URL attached. Raw HTML is the wrong input: it burns tokens and hurts retrieval, because every page shares the same chrome. ClawEngine does the crawl, the rendering and the cleaning in one managed call, on public and permitted data only. Plans start at $39 a month.

Clean markdown & JSON · JavaScript rendered · robots.txt respected

Last updated August 2026

Live Extraction

Endpoint · POST /v1/extract

POST

try:

Hit Extract to turn this page into clean, LLM-ready data.

robots.txt respected · public data only

Markdown · JSON · structured fields, from one API call. Crawling, rendering and extracting ...

To crawl a website for an LLM, you need more than a list of URLs, you need clean text the model can actually learn from or retrieve against. ClawEngine crawls a site from a seed URL, renders each page, strips the boilerplate and returns clean markdown that is ready to chunk and embed.

Instead of wiring up a crawler, a renderer and an HTML cleaner, you make one managed call and get LLM-ready content for the whole site. That feeds straight into your RAG index or training set. ClawEngine only crawls public, permitted pages, reads and respects robots.txt and Terms of Service, and honors crawl-delay, so your corpus is built responsibly.

CRAWL RENDER JS EXTRACT MARKDOWN JSON

Any URL in LLM-ready data out

robots.txt respected public data only

Why it works

What you get with Crawl for LLMs

Whole-site, clean text

ClawEngine crawls every page from your seed URL and returns clean markdown, so your corpus is consistent and free of navigation noise.

Chunk-ready output

The markdown preserves structure and drops the clutter, so it splits cleanly into chunks for embedding without extra preprocessing.

A responsible corpus

It crawls only public, permitted pages, reads robots.txt and honors crawl-delay, so the data behind your model is collected the right way.

What it handles

Any URL in, clean structured data out

Point ClawEngine at a public page and it crawls, renders the JavaScript and extracts clean markdown or typed JSON in one call. Define a schema for structured fields, and respect robots.txt and Terms of Service by default.

Crawls a full site from one seed URL
Renders JavaScript on each page
Returns clean, chunk-ready markdown
Strips navigation and boilerplate
Feeds RAG indexes and training sets
Respects robots.txt and crawl-delay

POST /v1/extract extraction result

200 · JSON

{
  "url": "https://example.com/products/atlas",
  "title": "Atlas Field Notebook",
  "markdown": "# Atlas Field Notebook\n\nDurable...",
  "data": {
    "name": "Atlas Field Notebook",
    "price": 24.00,
    "currency": "USD",
    "rating": 4.7
  },
  "links": [ "/products", "/cart" ],
  "metadata": { "rendered": true }
}

JS rendered · boilerplate stripped ✓ robots.txt respected

Why ClawEngine

One API that crawls, renders and extracts

Not a raw HTML dump, not a headless browser fleet to run, and not a brittle parser to maintain. One call crawls a public page, renders its JavaScript and returns clean markdown or typed JSON, built for RAG pipelines and AI agents.

LLM-ready output

Clean markdown or typed JSON with the boilerplate stripped, so the data drops straight into a vector store, a prompt or an agent without a cleanup step.

JavaScript rendered

Each page loads in a real browser environment before extraction, so single-page apps and client-rendered content come back complete, not as an empty shell.

Compliance-first

ClawEngine works on public, permitted data only. It respects robots.txt and site Terms of Service and honors crawl-delay, so responsible scraping is the default.

Crawl a website for an LLM: the questions buyers ask

How do I crawl a website for an LLM?

Start from a seed URL and follow internal links, honoring robots.txt and crawl-delay. Render each page so JavaScript-injected content is actually there, then strip navigation, ads and cookie banners and keep the main content as markdown. Store the source URL and fetch date with every page so a chunk can be cited later. Deduplicate before you embed, because most sites serve the same page at several URLs.

What format should I use to feed a website to an LLM?

Markdown is the practical default. It keeps the heading structure a chunker needs to split on, costs far fewer tokens than HTML, and models read it well. Use typed JSON instead when you want specific fields rather than prose, such as a price or a spec table. Feed raw HTML only if you plan to parse it yourself, since the tags are mostly noise to a model.

How many pages of a website should I crawl for RAG?

Fewer than you think. Retrieval quality falls when the index fills with near-duplicate and low-value pages, so crawl the sections that answer real questions (docs, guides, product and pricing) and skip pagination, tag archives and search results. A focused 500-page corpus routinely beats a sloppy 50,000-page one, because precision at retrieval time matters more than raw coverage.

Is it legal to crawl a website for LLM training data?

Crawling publicly available pages is broadly lawful in the United States, and US courts have generally declined to treat access to public data as a Computer Fraud and Abuse Act violation. The constraints that still bite are the site's Terms of Service, its robots.txt, copyright in the content, and privacy law once personal data is involved. Training on copyrighted text is being actively litigated. ClawEngine works on public and permitted data only. This is general information, not legal advice.

How long does it take to crawl a whole website?

It is governed by politeness, not bandwidth. A crawler that respects crawl-delay and does not hammer the origin will typically move at a few pages per second per host, so a 10,000-page site is usually an hour or two rather than minutes. JavaScript rendering makes each page slower, since a browser has to execute the page. Crawling in parallel across many hosts is fast. Crawling one host fast is how you get blocked.

Good questions

Questions about Crawl for LLMs

Raw HTML is full of navigation, scripts and markup that dilute and confuse a model. ClawEngine renders and cleans each page into structured markdown, so what reaches your index or training set is the actual content, ready to chunk and embed.

It is built for clean retrieval and ingestion data. ClawEngine crawls only public, permitted pages and respects robots.txt and Terms of Service. You remain responsible for the licensing and rights of any content you collect for training or retrieval.

Read every web scraping question

Explore more

More ways to turn the web into data with ClawEngine

See every use case See pricing Back to the web scraping API

Stop wrangling raw HTML. Get LLM-ready data.

Point ClawEngine at a public page and one call crawls, renders the JavaScript and extracts clean markdown or typed JSON, ready for your RAG pipeline or AI agent. Public, permitted data only.

See pricing

Crawl · render JS · extract markdown & JSON · robots.txt respected, public data only