firecrawl-agent

bởi firecrawl

Trích xuất dữ liệu tự động được hỗ trợ bởi AI, có khả năng điều hướng các trang web phức tạp và trả về JSON có cấu trúc. Sử dụng kỹ năng này khi người dùng muốn dữ liệu có cấu trúc từ…

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

Tải ZIP GitHub

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.