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Scrape and extract structured data with Firecrawl

Firecrawl uses AI to get structured data from web pages in 3 steps:

  1. Set the Schema: Tell us what data you want by defining a JSON schema (using OpenAI’s format) along with the webpage URL.

  2. Make the Request: Send your URL and schema to our scrape endpoint. See how here: Scrape Endpoint Documentation

  3. Get Your Data: Get back clean, structured data matching your schema that you can use right away.

This makes getting web data in the format you need quick and easy.

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Extract structured data

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/scrape (with json) endpoint

Used to extract structured data from scraped pages.

from firecrawl import FirecrawlApp, JsonConfig
from pydantic import BaseModel, Field

# Initialize the FirecrawlApp with your API key
app = FirecrawlApp(api_key='your_api_key')

class ExtractSchema(BaseModel):
    company_mission: str
    supports_sso: bool
    is_open_source: bool
    is_in_yc: bool

json_config = JsonConfig(
    extractionSchema=ExtractSchema.model_json_schema(),
    mode="llm-extraction",
    pageOptions={"onlyMainContent": True}
)

llm_extraction_result = app.scrape_url(
    'https://firecrawl.dev',
    formats=["json"],
    json_options=json_config
)
print(llm_extraction_result)

Output:

JSON
{
    "success": true,
    "data": {
      "json": {
        "company_mission": "AI-powered web scraping and data extraction",
        "supports_sso": true,
        "is_open_source": true,
        "is_in_yc": true
      },
      "metadata": {
        "title": "Firecrawl",
        "description": "AI-powered web scraping and data extraction",
        "robots": "follow, index",
        "ogTitle": "Firecrawl",
        "ogDescription": "AI-powered web scraping and data extraction",
        "ogUrl": "https://firecrawl.dev/",
        "ogImage": "https://firecrawl.dev/og.png",
        "ogLocaleAlternate": [],
        "ogSiteName": "Firecrawl",
        "sourceURL": "https://firecrawl.dev/"
      },
    }
}

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Extracting without schema (New)

You can now extract without a schema by just passing a prompt to the endpoint. The llm chooses the structure of the data.

curl -X POST https://api.firecrawl.dev/v1/scrape \
    -H 'Content-Type: application/json' \
    -H 'Authorization: Bearer YOUR_API_KEY' \
    -d '{
      "url": "https://docs.firecrawl.dev/",
      "formats": ["json"],
      "jsonOptions": {
        "prompt": "Extract the company mission from the page."
      }
    }'

Output:

JSON
{
    "success": true,
    "data": {
      "json": {
        "company_mission": "AI-powered web scraping and data extraction",
      },
      "metadata": {
        "title": "Firecrawl",
        "description": "AI-powered web scraping and data extraction",
        "robots": "follow, index",
        "ogTitle": "Firecrawl",
        "ogDescription": "AI-powered web scraping and data extraction",
        "ogUrl": "https://firecrawl.dev/",
        "ogImage": "https://firecrawl.dev/og.png",
        "ogLocaleAlternate": [],
        "ogSiteName": "Firecrawl",
        "sourceURL": "https://firecrawl.dev/"
      },
    }
}

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Extract object

The extract object accepts the following parameters:

  • schema: The schema to use for the extraction.
  • systemPrompt: The system prompt to use for the extraction.
  • prompt: The prompt to use for the extraction without a schema.