Extract
| Introduction: | Extract is an AI-powered platform that transforms entire websites into structured data using natural language prompts. |
| Recorded in: | 6/4/2025 |
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What is Extract?
Extract is an advanced AI-driven web data extraction platform developed by Firecrawl. It is designed for developers and businesses that need to effortlessly obtain structured data from any website without dealing with the complexities of traditional web scraping. It eliminates the need for manual scraping and constant script maintenance by semantically understanding content and adapting to website changes. Extract provides a robust API to turn unstructured web content into clean, usable data in any desired format.
How to use Extract
Users interact with Extract primarily through its API by making simple API calls with natural language prompts to specify the data they need. The platform handles the underlying complexities of web scraping and AI processing. To get started, users can sign up for a free tier which offers 500,000 tokens per year without requiring a credit card. Paid plans (Starter, Explorer, Pro, Enterprise) are available, scaling with token usage and rate limits, offering email, Slack, or custom support. All credits for paid plans are granted upfront, with options for monthly or discounted annual billing.
Extract's core features
AI-powered structured data extraction from any website
Natural language prompting for data requests
Automatic adaptation to website structure changes, preventing broken scripts
Ability to extract data from entire websites (single pages or thousands) with a single API call, including wildcard support
No context window limits for large-scale data extraction
Integration capabilities with popular tools (e.g., Zapier)
Facilitates building datasets from information spread across multiple websites
Transparent, scalable pricing model with a free tier
Use cases of Extract
Building B2B lead lists from company websites
Extracting pricing information from competitor websites
Gathering company details like mission and open-source status
Enriching existing data records
Automating data collection for AI model onboarding
Performing Know Your Business (KYB) checks
Monitoring competitors for changes in products, services, or pricing
Creating comprehensive datasets for various business intelligence tasks