firecrawl-agent

作者： firecrawl

AI驅動的自動化結構化資料提取，適用於複雜的多頁面網站。能智慧導航網站以定位並提取資料，以JSON格式回傳結果，並可選擇進行結構驗證。支援自訂JSON結構以產生可預測的結構化輸出，若未提供結構則可進行自由格式提取。提供兩種模型層級（spark-1-mini和spark-1-pro），各有信用額度限制，並可選擇等待內嵌結果。最適合多頁面提取任務；若為較簡單的抓取，請使用...

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

下載 ZIP GitHub

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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.