ALwrity Version 0.5.1 (Fastapi + React)
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96
ToBeMigrated/ai_web_researcher/firecrawl_web_crawler.py
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96
ToBeMigrated/ai_web_researcher/firecrawl_web_crawler.py
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import os
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from pathlib import Path
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from firecrawl import FirecrawlApp
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import logging
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from dotenv import load_dotenv
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# Load environment variables from .env file
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load_dotenv(Path('../../.env'))
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# Configure logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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def initialize_client() -> FirecrawlApp:
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"""
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Initialize and return a Firecrawl client.
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Returns:
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FirecrawlApp: An instance of the Firecrawl client.
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"""
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return FirecrawlApp(api_key=os.getenv("FIRECRAWL_API_KEY"))
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def scrape_website(website_url: str, depth: int = 1, max_pages: int = 10) -> dict:
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"""
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Scrape a website starting from the given URL.
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Args:
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website_url (str): The URL of the website to scrape.
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depth (int, optional): The depth of crawling. Default is 1.
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max_pages (int, optional): The maximum number of pages to scrape. Default is 10.
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Returns:
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dict: The result of the website scraping, or None if an error occurred.
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"""
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client = initialize_client()
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try:
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result = client.crawl_url({
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'url': website_url,
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'depth': depth,
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'max_pages': max_pages
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})
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return result
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except KeyError as e:
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logging.error(f"Missing key in data: {e}")
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except ValueError as e:
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logging.error(f"Value error: {e}")
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except Exception as e:
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logging.error(f"Error scraping website: {e}")
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return None
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def scrape_url(url: str) -> dict:
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"""
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Scrape a specific URL.
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Args:
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url (str): The URL to scrape.
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Returns:
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dict: The result of the URL scraping, or None if an error occurred.
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"""
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client = initialize_client()
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try:
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result = client.scrape_url(url)
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return result
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except KeyError as e:
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logging.error(f"Missing key in data: {e}")
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except ValueError as e:
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logging.error(f"Value error: {e}")
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except Exception as e:
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logging.error(f"Error scraping URL: {e}")
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return None
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def extract_data(url: str, schema: dict) -> dict:
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"""
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Extract structured data from a URL using the provided schema.
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Args:
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url (str): The URL to extract data from.
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schema (dict): The schema to use for data extraction.
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Returns:
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dict: The extracted data, or None if an error occurred.
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"""
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client = initialize_client()
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try:
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result = client.extract({
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'url': url,
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'schema': schema
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})
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return result
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except KeyError as e:
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logging.error(f"Missing key in data: {e}")
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except ValueError as e:
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logging.error(f"Value error: {e}")
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except Exception as e:
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logging.error(f"Error extracting data: {e}")
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return None
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