FireScrap

Firecrawl: AI-Powered Web Automation for Data Extraction

Firecrawl is the #1 platform to automate data collection at scale using AI web agents. It enables fast, accurate, and scalable crawling, scraping, and data cleaning across accessible subpages, even without sitemaps. The system emphasizes reliability, real-time data, and ownership of your AI agents and collected data.

How It Works

• Tell us your data needs: specify target websites, data fields, frequency, and output format.
• We build a custom AI web agent tailored to your requirements, configured for your target sites.
• Your dedicated AI agent operates 24/7 to collect, clean, and deliver data in your preferred format. You own the agent and all data.

Why Firecrawl

• AI-driven web agents that crawl, extract, and sanitize data across dynamic pages, including JavaScript-rendered content.
• No caching by default; you always get the latest data.
• Built for AI/LLM workflows with clean, ready-to-use data.
• Anti-blocking, IP rotation, and rate-limit handling to maintain access and reliability.
• Media and document parsing: support for PDFs, DOCX, images, and more.
• Simple three-step process to get started and own your data end-to-end.

Use Cases

• Product data extraction (names, prices, stock, variants, images).
• Competitor price monitoring and market research.
• Real-time monitoring of product availability and new listings.
• Lead generation and data enrichment.

How to Use Firecrawl

1. Tell Us Your Data Needs

• Define target websites (e.g., amazon.com, Shopify stores, walmart.com).
• Specify data fields (product name, price, stock status, variants, images).
• Choose output format (CSV, JSON, API integration, webhook).

1. We Build Your Custom AI Agent

• Web Scraper Configuration: CSS & XPath targeting, pagination logic.
• Anti-Block System: IP rotation and request delays.
• Data Cleaning: automated formatting and validation.

1. Own Your AI Agent & Data

• Access a dedicated AI web agent that runs 24/7.
• You own both the agent and all collected data.
• Option to integrate outputs into your systems via API, CSV, or JSON.

Outputs & Integrations

• Output formats: CSV, JSON, API integration, webhook.
• Ready-to-use data for LLM prompts and downstream analytics.

Key Metrics & Impact

• Efficiency gains: up to 5x faster data ops, significant time savings on manual scraping.
• Scale: hundreds of thousands to millions of product records processed with AI agents.
• Reliability: real-time, up-to-date data with automatic error handling.

Safety & Compliance

• You own the data and agents; ensure compliance with target site terms and data usage policies.

Core Features

• AI-powered web agents for automated data collection at scale
• Crawl, scrape, and clean data from accessible subpages (no sitemap required)
• Dynamic content handling (JavaScript-rendered pages)
• Anti-blocking: IP rotation, rate limiting, and wait strategies
• Media parsing: PDFs, DOCX, images, and more
• Output in CSV, JSON, API, or webhook formats
• 24/7 operation with real-time data updates
• No caching by default; latest data always delivered
• Built for AI/LLM workflows with clean data ready for prompts
• Ownership: full ownership of AI agents and collected data

Example Use Case: Product Data Extraction

• Target: amazon.com, Shopify stores
• Data fields: product name, price, stock, variants, images
• Output: CSV with real-time price and stock updates
• Benefit: automate product data collection and keep catalogs up-to-date automatically

Company & Experience

• Built by Firedrop Team; trusted by 1000+ businesses to automate data collection and scale operations.
• Case studies and testimonials available in Wall of Love.

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Pricing

• Various plans to fit different data volume and automation needs. Contact for a free strategy call to tailor an AI agent.

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About Firecrawl

Firecrawl is designed to help organizations automate data collection, reduce manual scraping time, and own the AI agents and data they generate. It combines cutting-edge crawling capabilities with robust data cleaning and integration options to support data-driven decision-making at scale.