Fnac Data Scraping

Fnac.com Scraper A powerful Apify actor for scraping product data from Fnac.com, supporting both search result pages and product pages. The scraper retrieves product names, prices, availability, EAN, SKU, images, seller details, categories, delivery info, ratings, and reviews. It leverages HTTPX for fast requests and BeautifulSoup for parsing. ## Features - Scrape product & search pages – Extracts product details from both search listings and individual product pages. - Apify SDK integration – Uses Apify's request queue and dataset storage for efficient crawling. - Proxy support – Use Apify's default proxies or provide a custom one. - Custom depth control – Define how deep to crawl from the start URLs. ## How it Works 1. The script reads input, including start_urls and url_type (search or product). 2. It enqueues URLs into Apify's request queue and processes them one by one. 3. The scraper fetches and parses each page using HTTPX and BeautifulSoup. 4. Extracted data is structured and stored in Apify's dataset. 5. Supports pagination when scraping search result pages. ## Example Output json { "url": "https://www.fnac.com/Product-Page", "name": "Laptop XYZ", "ean": "1234567890123", "sku": "ABC123", "price_product_discount": "799.99", "price_product": "899.99", "availability": "In Stock", "description": "Powerful laptop with Intel i7 processor...", "reconditionn": "No", "etat": "New", "images": ["image1.jpg", "image2.jpg"], "seller": "Fnac", "categories":["Computers", "Laptops"] "deliveryInfo__price": "Free", "deliveryInfo__date": "2-3 days", "rating": "4.5", "review_count": "120" } ## Getting Started To run the scraper on Apify: 1. Build the Actor in Apify Console. 2. Run the Actor with your desired start_urls. ## Local Development 1. Install Apify CLI: bash npm install -g apify-cli 2. Pull the Actor for local testing: bash apify pull <ActorId> 3. Run the Actor locally: bash apify run Let me know if you need any tweaks! 🚀