Why Firecrawl + OpenClaw
- No local browser needed — every session runs in a remote, isolated sandbox. No Chromium installs, no driver conflicts, no RAM pressure on your machine.
- Real parallelism — run many browser sessions at once without local resource fights. Agents can browse in batches across multiple sites simultaneously.
- Secure by default — navigation, DOM evaluation, and extraction all happen inside disposable sandboxes, not on your workstation.
- Better token economics — agents get back clean artifacts (snapshots, extracted fields) instead of hauling giant DOMs and driver logs into the context window.
- Full web toolkit — scrape, search, and browser automation all through a single CLI that your agent already knows how to use.
Setup
Tell your agent to install the Firecrawl CLI, authenticate and initialize the skill with this command:--allinstalls the Firecrawl skill to every detected AI coding agent--browseropens the browser for Firecrawl authentication automatically
Scrape
Scrape a single page and extract its content:Search
Search the web and optionally scrape the results:Browser
Launch a remote browser session for interactive automation. Each session runs in an isolated sandbox — no local Chromium install required.agent-browser is pre-installed with 40+ commands.
The shorthand form (
firecrawl browser "...") sends commands to agent-browser automatically and auto-launches a sandbox session if there isn’t one active. Your agent issues intent-level actions (open, click, fill, snapshot, scrape) instead of writing Playwright code.Example: tell your agent
Here are some prompts you can give your OpenClaw agent:- “Use Firecrawl to scrape https://example.com and summarize the main content.”
- “Search for the latest OpenAI news and give me a summary of the top 5 results.”
- “Use Firecrawl Browser to open Hacker News, get the top 5 stories, and the first 10 comments on each.”
- “Crawl the docs at https://docs.firecrawl.dev and save them to a file.”

