# 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.

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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://agpt.co/docs/integrations/block-integrations/extract.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.