firecrawl-agent_skill

Overview

This skill performs AI-powered autonomous data extraction that navigates complex websites and returns structured JSON. It is designed to locate, traverse, and extract multi-page content like product lists, pricing tiers, and directory entries. Runs typically take a few minutes and can accept a JSON schema to enforce predictable output.

How this skill works

The agent launches from one or more starting URLs, explores linked pages as needed, and identifies where target data resides. It uses an AI planner to decide navigation and extraction steps, then outputs the results as structured JSON. Optionally provide a JSON schema to constrain the output shape and improve reliability.

When to use it

• You need structured JSON from complex, multi-page sites.
• You want the agent to discover where data lives rather than specify every page.
• You need pricing tiers, complete product listings, or directory entries aggregated.
• You have a JSON schema and require predictable output for downstream processing.
• Manual scraping would be slow due to many linked pages or dynamic navigation.

Best practices

• Provide one or more focused starting URLs to reduce exploration time.
• Supply a JSON schema when you require consistent field types and names.
• Use --wait (or the equivalent) to receive results inline instead of a job ID.
• Set a credit or runtime limit for large sites to control cost.
• Prefer simpler single-page scrapes for trivial extraction to save time and credits.

Example use cases

• Extract all product details (name, sku, price, description) across a multi-category ecommerce site into JSON.
• Pull pricing tiers and feature lists from a SaaS website and return an array of plan objects.
• Crawl a business directory to collect company names, addresses, phone numbers, and websites.
• Aggregate course catalogs and schedules across department pages into a standardized JSON schema.
• Collect technical documentation sections scattered across pages into a structured output for indexing.