Firecrawl
firecrawl/firecrawl
API and open-source toolkit to scrape, crawl, and turn websites into LLM-ready markdown. GitHub: firecrawl/firecrawl (~164k stars).
GitHub repository
Overview
Firecrawl is the open-source project at firecrawl/firecrawl on GitHub (https://github.com/firecrawl/firecrawl). API and open-source toolkit to scrape, crawl, and turn websites into LLM-ready markdown. Category on LimeDock: ai-powered. Approximate community size: ~164k GitHub stars. Repo (copy/paste): https://github.com/firecrawl/firecrawl This LimeDock Directories page explains what it is and how teams use it in plain English — so searches for the GitHub project can land on a practical guide.
Work with LimeDock
Using this skill? LimeDock can wire it into a durable automation you own.
Agents are a starting point. LimeDock turns the workflow into production automation your SaaS team owns — not another prompt library.
We sell owned automations for SaaS teams — live workflows that plug into Slack, CRM, and your internal platform — not just a skill list.
Link
Installation guide
Open the GitHub repository, then follow the README for your stack.
Official GitHub repository: https://github.com/firecrawl/firecrawl GitHub path: firecrawl/firecrawl
How to open it: 1. Copy this URL: https://github.com/firecrawl/firecrawl 2. Clone or follow the README install for your OS / stack. 3. Start with the smallest example in their docs before production use.
How to use it
**Simple example** Your agent needs clean page content, not raw HTML soup.
1. Sign up / self-host Firecrawl per docs. 2. Scrape one URL to Markdown. 3. Pass that Markdown into Claude for summary or extraction.
Example prompts
- “Scrape this pricing page to Markdown with Firecrawl.”
- “Crawl our docs site for RAG ingest.”
- “When to scrape vs use a site’s official API?”
Use cases and examples
- Evaluate firecrawl/firecrawl for your stack
- Onboard a teammate to Firecrawl with a shared checklist
- Compare Firecrawl against tools you already pay for
- Capture lessons in your internal wiki after a pilot
Prerequisites
- API key or self-host capacity
- Respect robots/ToS and rate limits
Tips
- Prefer official APIs when available.
- Cache results — don’t re-crawl every prompt.