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---
name: enact-firecrawl
version: 1.2.1
description: Scrape, crawl, search, and extract structured data from websites using Firecrawl API - converts web pages to LLM-ready markdown
enact: "2.0"
from: python:3.12-slim
build:
- pip install requests
env:
FIRECRAWL_API_KEY:
description: Your Firecrawl API key from firecrawl.dev
secret: true
command: python /workspace/firecrawl.py ${action} ${url} ${formats} ${limit} ${only_main_content} ${prompt} ${schema}
timeout: 300s
license: MIT
tags:
- web-scraping
- crawling
- markdown
- llm
- ai
- data-extraction
- search
- structured-data
annotations:
readOnlyHint: true
openWorldHint: true
inputSchema:
type: object
properties:
action:
type: string
description: |
The action to perform:
- scrape: Extract content from a single URL
- crawl: Discover and scrape all subpages of a website
- map: Get all URLs from a website (fast discovery)
- search: Search the web and get scraped results
- extract: Extract structured data using AI
enum:
- scrape
- crawl
- map
- search
- extract
default: scrape
url:
type: string
description: The URL to process (for scrape, crawl, map, extract) or search query (for search action)
formats:
type: string
description: Comma-separated output formats (markdown, html, links, screenshot). Used by scrape and crawl actions.
default: markdown
limit:
type: integer
description: Maximum number of pages to crawl (crawl action) or search results to return (search action)
default: 10
only_main_content:
type: boolean
description: Extract only the main content, excluding headers, navs, footers (scrape action)
default: true
prompt:
type: string
description: |
Multi-purpose field:
- For map: Search query to filter URLs
- For extract: Natural language instruction for what to extract
default: ""
schema:
type: string
description: JSON schema string for structured extraction (extract action only). Define the shape of data you want to extract.
default: ""
required:
- url
outputSchema:
type: object
properties:
success:
type: boolean
description: Whether the operation succeeded
action:
type: string
description: The action that was performed
url:
type: string
description: The URL or query that was processed
data:
type: object
description: The scraped/crawled/extracted data including markdown, metadata, and structured content
error:
type: string
description: Error message if the operation failed
examples:
- input:
url: "https://example.com"
action: "scrape"
description: Scrape a single page and get markdown
- input:
url: "https://docs.example.com"
action: "crawl"
limit: 5
description: Crawl a documentation site (up to 5 pages)
- input:
url: "https://example.com"
action: "map"
description: Get all URLs from a website
- input:
url: "latest AI news"
action: "search"
limit: 5
description: Search the web and get scraped results
- input:
url: "https://news.ycombinator.com"
action: "extract"
prompt: "Extract the top 5 news headlines with their URLs and point counts"
description: Extract structured data from a page using AI
---
# Firecrawl Web Scraping Tool
A powerful web scraping tool that uses the [Firecrawl API](https://firecrawl.dev) to convert websites into clean, LLM-ready markdown and extract structured data.
## Features
- **Scrape**: Extract content from a single URL as markdown, HTML, or with screenshots
- **Crawl**: Automatically discover and scrape all accessible subpages of a website
- **Map**: Get a list of all URLs from a website without scraping content (extremely fast)
- **Search**: Search the web and get full scraped content from results
- **Extract**: Use AI to extract structured data from pages with natural language prompts
## Setup
1. Get an API key from [firecrawl.dev](https://firecrawl.dev)
2. Set your API key as a secret:
```bash
enact env set FIRECRAWL_API_KEY <your-api-key> --secret --namespace enact
```
This stores your API key securely in your OS keyring (macOS Keychain, Windows Credential Manager, or Linux Secret Service).
## Usage Examples
### CLI
#### Scrape a single page
```bash
enact run enact/firecrawl -a '{"url": "https://example.com", "action": "scrape"}'
```
#### Crawl an entire documentation site
```bash
enact run enact/firecrawl -a '{"url": "https://docs.example.com", "action": "crawl", "limit": 20}'
```
#### Map all URLs on a website
```bash
enact run enact/firecrawl -a '{"url": "https://example.com", "action": "map"}'
```
#### Search the web
```bash
enact run enact/firecrawl -a '{"url": "latest AI developments 2024", "action": "search", "limit": 5}'
```
#### Extract structured data with AI
```bash
enact run enact/firecrawl -a '{"url": "https://news.ycombinator.com", "action": "extract", "prompt": "Extract the top 10 news headlines with their URLs"}'
```
#### Extract with a JSON schema
```bash
enact run enact/firecrawl -a '{
"url": "https://example.com/pricing",
"action": "extract",
"prompt": "Extract pricing information",
"schema": "{\"type\":\"object\",\"properties\":{\"plans\":{\"type\":\"array\",\"items\":{\"type\":\"object\",\"properties\":{\"name\":{\"type\":\"string\"},\"price\":{\"type\":\"string\"}}}}}}"
}'
```
### MCP (for LLMs/Agents)
When using this tool via MCP, call `enact__firecrawl` with these parameters:
#### Scrape a single page
Call with `url` set to the target URL and `action` set to `"scrape"`.
#### Crawl a documentation site
Call with `url`, `action` set to `"crawl"`, and `limit` to control the maximum number of pages.
#### Map all URLs on a website
Call with `url` and `action` set to `"map"` to discover all URLs without scraping content.
#### Search the web
Call with `url` set to your search query (e.g., "latest AI news") and `action` set to `"search"`. Use `limit` to control result count.
#### Extract structured data with AI
Call with `url`, `action` set to `"extract"`, and `prompt` describing what data to extract. Optionally provide a `schema` for structured output.
## Output
The tool returns JSON with:
- **markdown**: Clean, LLM-ready content
- **metadata**: Title, description, language, source URL
- **extract**: Structured data (for extract action)
- **links**: Discovered URLs (for map action)
## API Features
Firecrawl handles the hard parts of web scraping:
- Anti-bot mechanisms
- Dynamic JavaScript content
- Proxies and rate limiting
- PDF and document parsing
- Screenshot capture