BJs Product Parser Spider ## Introduction The BJs Product Parser Spider is an Apify Actor designed to scrape detailed product information from BJs.com product pages. It extracts key details such as product names, SKUs, brands, descriptions, images, and more, making it perfect for e-commerce research, inventory tracking, or catalog creation. ## Input Parameters | Parameter | Type | Description | Required | |--------------------|---------|-----------------------------------------------------------------------------|----------| | Urls | Array | An array of BJs.com product URLs to scrape (e.g., "https://www.bjs.com/product/wellsley-farms-signature-cheese-sampler-32-oz/3000000000000162959/"). | Yes | | proxyConfiguration | Object | Proxy settings for the scrape. Use Apify's proxy with residential groups for reliable access. Example: { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }. | No (but recommended for stability) | Example input: json { "Urls": [ "https://www.bjs.com/product/wellsley-farms-signature-cheese-sampler-32-oz/3000000000000162959/" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ## Features - Extracts comprehensive product details including name, SKU, brand, GTIN, image, description, price currency, availability, and ratings. - Supports proxy configuration to ensure reliable access to BJs.com pages. - Outputs structured JSON arrays for seamless integration into databases or analytics tools. - Captures review counts and ratings for deeper product insights. ## Possible Use Cases - E-commerce Research: Gather product data for market analysis or competitive benchmarking on BJs.com. - Price and Inventory Tracking: Monitor product availability and details for supply chain or pricing strategies. - Catalog Building: Create structured product catalogs with images and metadata for retail or marketing purposes. - Consumer Insights: Analyze product ratings and descriptions to understand customer preferences. ## Output Example The Actor returns an array of objects in JSON format. Here's a sample output: json [ { "Product_Name": "Wellsley Farms Signature Cheese Sampler, 32 oz.", "SKU": "23878", "Brand": "Wellsley Farms", "GTIN": "P_23878", "Image": "https://s7d6.scene7.com/is/image/bjs/23878?$bjs-Initial350$", "Description": "This Wellsley Farms Signature Cheese Sampler is a pre-sliced platter of four different types of cheese for snacking, making burgers or entertaining guests. Indulge your palate with the White Muenster, New York Aged Cheddar, Gouda and Monterey Pepper Jack cheeses. Product Features: Platter of pre-sliced White Muenster, New York Cheddar, Gouda, and Monterey Pepper Jack cheeses Pair with crackers for an effortless party appetizer Ready to add to burgers at your backyard barbecue Great for quick snacking at home or grilled cheese Enjoy 16 servings of each cheese (0.5 oz. serving each) New York Aged Cheddar is aged for 6 months Monterey Jack made with jalapeno peppers Includes four-cheese sampler platter, 32 oz. Product Warnings and Restrictions: Contains Milk.", "Price_Currency": "USD", "Availability": "OutOfStock", "Rating_Value": 5, "Review_Count": 379, "URL": "https://www.bjs.com/product/wellsley-farms-signature-cheese-sampler-32-oz/3000000000000162959/", "Crawled_Date": "08-25-2025", "Source": "BJ's" } ] ## Support For bug reports or custom needs, contact support@getdataforme.com Or use our contact form: https://getdataforme.com/contact/ (Make sure to include a clear subject line in your message)