By use case · Crawl agent API
Crawl agent API that scrapes data for AI agents in a single call
The short answer
To scrape data for AI agents, give the agent a tool that fetches a URL, renders the page and returns clean markdown or typed JSON in one step, so the model reads structured content instead of raw HTML mid-task. ClawEngine is that tool: one call crawls, renders and extracts a public page, and the simple request and response shape maps directly to a function definition in any agent framework. It works on public, permitted pages only, reads robots.txt and honors crawl-delay. Plans start at $39 a month.
Clean markdown & JSON · JavaScript rendered · robots.txt respected
Hit Extract to turn this page into clean, LLM-ready data.
robots.txt respected · public data only ·
AI agents need to read the live web, but raw HTML is something a model cannot reliably act on. To scrape data for AI agents, you want a tool that returns clean, structured results an agent can parse in one step. ClawEngine is that tool: one call crawls, renders and extracts a public page into markdown or typed JSON.
Wire it into your agent as a function and it gets accurate, current data, product details, article content, documentation, whatever the task needs, without your agent wrestling with markup. The simple request and response shape fits naturally into tool-calling. ClawEngine works on public, permitted pages only, respects robots.txt and Terms of Service, and honors crawl-delay.
Any URL in LLM-ready data out
robots.txt respected public data only
Why it works
What you get with Crawl agent API
A clean agent tool
One call returns markdown or typed JSON, so your agent reads structured results in a single step instead of parsing raw HTML mid-task.
Current, real data
ClawEngine fetches and renders the live page, so agents act on up-to-date content rather than whatever was in their training data.
Fits tool-calling
The simple request and response shape maps cleanly to a function definition, so adding live web reading to an agent is straightforward.
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.
- Returns agent-ready markdown or JSON
- Fetches and renders live public pages
- Extracts typed fields to a schema
- Fits naturally into tool-calling
- Gives agents current, accurate web data
- Stays on public, permitted pages only
{
"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 }
}
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.
People also ask
Crawl agent API and web data for AI agents: the questions buyers ask
What is a crawl agent?
A crawl agent is an AI agent that can fetch and read web pages as part of its own reasoning loop, rather than a crawler you schedule and walk away from. It decides which URL to open next, so the important design question is not whether it can crawl but where its ceiling is: pages per task, domains allowed, and depth.
How do I give an AI agent a crawl tool?
Expose one function the model can call, with the limits baked into the signature rather than the prompt. Take a URL and an optional page count, cap that count in code, return clean markdown, and refuse anything outside an allowlist of domains. A model will not respect a limit it can only read; it will respect one it cannot exceed.
How do I stop a crawl agent from running up a bill?
Put the ceiling in the tool, not the instructions. Once the model chooses how many calls to make, the meter is out of your hands, so the fix is a hard page cap per task, a per-run budget you check before dispatching, and flat per-page pricing so a slow page does not cost more than a fast one. Log every call with its page count.
How do I give an AI agent access to the web?
Expose a web-reading API as a tool the agent can call. Define a function that takes a URL and an optional schema, and have it return clean markdown or typed JSON rather than raw HTML. The model then reads the result in one step and decides what to do next. ClawEngine renders the page and returns structured content, so the agent never has to parse markup itself. It reads public, permitted pages only.
Why not let the agent read raw HTML itself?
Raw HTML wastes context and confuses the model. A page is mostly navigation, scripts and markup, so an agent that reads it spends tokens on noise and often retrieves the wrong thing. Returning clean markdown or typed fields means the agent reads the actual content, uses far less context, and acts more reliably. It also removes per-site parsing logic the agent would otherwise have to carry.
Does the agent get current data or cached pages?
It gets current data. ClawEngine fetches and renders the live page at call time, so an agent acts on what is on the web now rather than on whatever was in its training data. That matters for prices, availability, news and documentation, where the model's own knowledge is stale by definition. Each call runs against the public page as it exists at that moment.
How do I stop an agent from scraping pages it should not?
Constrain the URLs your agent is allowed to pass, and rely on the API to stay compliant. ClawEngine only accesses public, permitted pages, reads robots.txt and honors crawl-delay, and never targets logins, paywalls or private data. You own the choice of URLs the agent submits, so scope its tool to the domains and paths that are appropriate for the task.
Which output format is best for an agent, markdown or JSON?
Use markdown when the agent needs to read and reason over the whole page, and typed JSON when it needs specific fields to act on, like a price or a status. Markdown keeps structure while cutting tokens; JSON gives the agent exact values with no parsing. ClawEngine returns either from the same call, so you can pick per task or take both at once.
Good questions
Questions about Crawl agent API
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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.
Crawl · render JS · extract markdown & JSON · robots.txt respected, public data only