fdb7ff8111
Move remaining block docs to block-integrations/ subdirectory: - Delete old docs from docs/integrations/ root - Add new docs under docs/integrations/block-integrations/ - Add guides/ directory with LLM and voice provider docs - Update SUMMARY.md with correct navigation structure Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Firecrawl Extract
Blocks for extracting structured data from web pages using Firecrawl's AI extraction.
Firecrawl Extract
What it is
Firecrawl crawls websites to extract comprehensive data while bypassing blockers.
How it works
This block uses Firecrawl's extraction API to pull structured data from web pages based on a prompt or schema. It crawls the specified URLs and uses AI to extract information matching your requirements.
Define the data structure you want using a JSON schema for precise extraction, or use natural language prompts for flexible extraction. Wildcards in URLs allow extracting data from multiple pages matching a pattern.
Inputs
| Input | Description | Type | Required |
|---|---|---|---|
| urls | The URLs to crawl - at least one is required. Wildcards are supported. (/*) | List[str] | Yes |
| prompt | The prompt to use for the crawl | str | No |
| output_schema | A Json Schema describing the output structure if more rigid structure is desired. | Dict[str, Any] | No |
| enable_web_search | When true, extraction can follow links outside the specified domain. | bool | No |
Outputs
| Output | Description | Type |
|---|---|---|
| error | Error message if the extraction failed | str |
| data | The result of the crawl | Dict[str, Any] |
Possible use case
Product Data Extraction: Extract structured product information (prices, specs, reviews) from e-commerce sites.
Contact Scraping: Pull business contact information from company websites in a structured format.
Data Pipeline Input: Automatically extract and structure web data for analysis or database population.