firecrawl-agent

Extract structured JSON data from complex websites via autonomous navigation.

4|Updated Nov 22, 2025
One-click install
npx skills add https://github.com/r1cA18/dotfiles --skill firecrawl-agent-r1ca18
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: firecrawl-agent
Source: https://github.com/r1cA18/dotfiles/tree/main/skills/firecrawl-agent
Command: npx skills add https://github.com/r1cA18/dotfiles --skill firecrawl-agent-r1ca18

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the extraction of structured data from complex websites, saving users from tedious manual scraping and navigation across multiple pages.

Core Features & Use Cases

  • Autonomous Data Extraction: AI navigates websites to find and extract specific data points.
  • Structured JSON Output: Returns extracted information in a clean, usable JSON format.
  • Schema-Driven Extraction: Can use a provided JSON schema to ensure the output matches desired structure.
  • Use Case: Extract all product names and prices from an e-commerce site, or pull all pricing tiers from a SaaS product page into a structured JSON file.

Quick Start

Use the firecrawl agent to extract all pricing tiers from the provided URL.

Frequently Asked Questions about firecrawl-agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract structured data from a multi-page website into JSON?

To extract structured data from a multi-page website into JSON, you can use an AI-powered web scraping agent that autonomously navigates pages and returns information matching your desired structure. This eliminates manual scraping by letting the AI identify and format the specific data points you need.

What is the best way to scrape complex e-commerce product data into a structured format?

The best way to scrape complex e-commerce product data is using AI-driven web crawling. It autonomously navigates e-commerce sites to find and extract specific data points like product names and prices, returning the information in a clean, structured JSON format without requiring manual page parsing.

Can I use a JSON schema to control web scraping output?

Yes, you can use a JSON schema to control web scraping output through schema-driven extraction. By providing a defined schema, the AI agent ensures the extracted structured data precisely matches your desired structure, yielding predictable and usable JSON results for complex pages.

How does AI web crawling handle multi-page data extraction?

AI web crawling handles multi-page data extraction by utilizing advanced navigation to move across multiple pages autonomously. The AI identifies and structures information according to your general extraction goals or schemas, solving the problem of manually scripting navigation logic for complex websites.

Does autonomous data extraction work for pulling SaaS pricing tiers into JSON?

Yes, autonomous data extraction works for pulling SaaS pricing tiers into JSON. It automates the extraction of structured data from complex SaaS product pages, navigating the site to find and format all pricing tiers into a clean, usable JSON file.