firecrawl-agent

作者： firecrawl

AI驱动的自主提取，可从复杂多页网站中提取结构化数据。智能导航网站以定位并提取数据，返回JSON格式结果，支持可选的模式验证。支持自定义JSON模式以实现可预测的结构化输出，未提供模式时则进行自由格式提取。提供两种模型层级（spark-1-mini和spark-1-pro），设有信用额度，并可选择等待内联结果。最适合多页提取任务；对于更简单的抓取，请使用...

npx skills add https://github.com/firecrawl/cli --skill firecrawl-agent

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firecrawl agent

AI-powered autonomous extraction. The agent navigates sites and extracts structured data (takes 2-5 minutes).

When to use

You need structured data from complex multi-page sites
Manual scraping would require navigating many pages
You want the AI to figure out where the data lives

Quick start

# Extract structured data
firecrawl agent "extract all pricing tiers" --wait -o .firecrawl/pricing.json

# With a JSON schema for structured output
firecrawl agent "extract products" --schema '{"type":"object","properties":{"name":{"type":"string"},"price":{"type":"number"}}}' --wait -o .firecrawl/products.json

# Focus on specific pages
firecrawl agent "get feature list" --urls "<url>" --wait -o .firecrawl/features.json

Options

Option	Description
`--urls <urls>`	Starting URLs for the agent
`--model <model>`	Model to use: spark-1-mini or spark-1-pro
`--schema <json>`	JSON schema for structured output
`--schema-file <path>`	Path to JSON schema file
`--max-credits <n>`	Credit limit for this agent run
`--wait`	Wait for agent to complete
`--pretty`	Pretty print JSON output
`-o, --output <path>`	Output file path

Tips

Always use --wait to get results inline. Without it, returns a job ID.
Use --schema for predictable, structured output — otherwise the agent returns freeform data.
Agent runs consume more credits than simple scrapes. Use --max-credits to cap spending.
For simple single-page extraction, prefer scrape — it's faster and cheaper.