A high-performance web scraping and crawling engine that transforms any URL into clean, AI-ready markdown or structured data.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install firecrawler
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install firecrawler using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Firecrawl skill is a robust integration designed for the Openclaw Skills ecosystem, enabling developers to bridge the gap between static LLMs and the dynamic web. It utilizes the Firecrawl API to handle complex tasks like JavaScript rendering and bot detection, ensuring that your AI agent receives high-quality, noise-free content. Whether you need to scrape a single page or index an entire documentation site, this skill provides the necessary tools to feed context-rich data directly into your workflows.
By incorporating this into your setup, you gain the ability to navigate the web with the precision of a human browser but at the speed of an automated system. It is specifically optimized to output content in formats that LLMs prefer, such as clean markdown and validated JSON, making it an essential component of the Openclaw Skills library.
To begin using this skill within the Openclaw Skills framework, follow these steps:
# 1. Obtain your API key from firecrawl.dev/app/api-keys
# 2. Set the environment variable in your terminal or .env file
export FIRECRAWL_API_KEY=fc-your-key-here
# 3. Install the required Python SDK
pip3 install firecrawl
The Firecrawl skill organizes its output into structured formats to ensure compatibility with various AI processing pipelines. Below is the metadata and file organization taxonomy:
| Data Type | Description | Format |
|---|---|---|
| Markdown | Cleaned webpage content stripped of HTML boilerplate | .md |
| Screenshots | Full-page visual captures of the target URL | .png |
| Structured Data | Data extracted via custom JSON schema (e.g., price, title) | JSON |
| Site Map | A comprehensive list of URLs discovered on a domain | Array |
| Search Results | Metadata and snippets from live web search queries | JSON |
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