subagent-driven-development
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firecrawl-agent
AI-powered autonomous extraction of structured data from complex multi-page websites.
Full skill instructions
AI-powered autonomous extraction. The agent navigates sites and extracts structured data (takes 2-5 minutes).
# 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
| 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 |
--wait to get results inline. Without it, returns a job ID.--schema for predictable, structured output — otherwise the agent returns freeform data.--max-credits to cap spending.scrape — it's faster and cheaper.Dispatch fresh subagents per task with two-stage review (spec compliance, then code quality) in the current session.
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