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Documentation Index

Fetch the complete documentation index at: https://docs.camel-ai.org/llms.txt

Use this file to discover all available pages before exploring further.

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Firecrawl

class Firecrawl:
Firecrawl allows you to turn entire websites into LLM-ready markdown. Parameters:
  • api_key (Optional[str]): API key for authenticating with the Firecrawl API.
  • api_url (Optional[str]): Base URL for the Firecrawl API.
  • References:
  • https: //docs.firecrawl.dev/introduction

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init

def __init__(
    self,
    api_key: Optional[str] = None,
    api_url: Optional[str] = None
):

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crawl

def crawl(
    self,
    url: str,
    params: Optional[Dict[str, Any]] = None,
    **kwargs: Any
):
Crawl a URL and all accessible subpages. Customize the crawl by setting different parameters, and receive the full response or a job ID based on the specified options. Parameters:
  • url (str): The URL to crawl.
  • params (Optional[Dict[str, Any]]): Additional parameters for the crawl request. Defaults to None. **kwargs (Any): Additional keyword arguments, such as poll_interval, idempotency_key.
Returns: Any: The crawl job ID or the crawl results if waiting until completion.

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check_crawl_job

def check_crawl_job(self, job_id: str):
Check the status of a crawl job. Parameters:
  • job_id (str): The ID of the crawl job.
Returns: Dict: The response including status of the crawl job.

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scrape

def scrape(self, url: str, params: Optional[Dict[str, str]] = None):
To scrape a single URL. This function supports advanced scraping by setting different parameters and returns the full scraped data as a dictionary. Reference: https://docs.firecrawl.dev/advanced-scraping-guide Parameters:
  • url (str): The URL to read.
  • params (Optional[Dict[str, str]]): Additional parameters for the scrape request.
Returns: Dict[str, str]: The scraped data.

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structured_scrape

def structured_scrape(self, url: str, response_format: BaseModel):
Use LLM to extract structured data from given URL. Parameters:
  • url (str): The URL to read.
  • response_format (BaseModel): A pydantic model that includes value types and field descriptions used to generate a structured response by LLM. This schema helps in defining the expected output format.
Returns: Dict: The content of the URL.

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map_site

def map_site(self, url: str, params: Optional[Dict[str, Any]] = None):
Map a website to retrieve all accessible URLs. Parameters:
  • url (str): The URL of the site to map.
  • params (Optional[Dict[str, Any]]): Additional parameters for the map request. Defaults to None.
Returns: list: A list containing the URLs found on the site.