Shoprite Parser Spider ## Introduction The Shoprite Parser Spider is a powerful Apify Actor designed to scrape and extract detailed product information from Shoprite's online store. It efficiently navigates product pages, collects key data such as prices, descriptions, and availability, and delivers structured output for easy analysis. Ideal for e-commerce monitoring, market research, and data-driven decision-making, this Actor ensures reliable, high-quality data extraction with minimal setup. ## Features - Efficient Product Scraping: Parses individual product URLs to extract comprehensive details like name, price, brand, and nutritional info. - Proxy Support: Built-in Apify proxy integration with residential IPs for bypassing restrictions and ensuring uninterrupted scraping. - Customizable Inputs: Flexible URL input allows targeting specific products or categories. - High Reliability: Handles dynamic web content and retries failed requests for consistent data collection. - Structured Output: Delivers clean JSON data, ready for export to CSV, Excel, or databases. - Scalable Performance: Optimized for handling multiple URLs with rate limiting to respect site policies. - Error Handling: Robust logging and error reporting to identify and resolve issues quickly. ## Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Urls | array | Yes | List of Shoprite product URLs to scrape. Each URL must be a valid HTTP/HTTPS link pointing to a product page. | ["https://www.shoprite.com/sm/pickup/rsid/3000/product/00050000756223"] | | proxy | object | No | Proxy configuration for routing requests. Defaults to Apify's residential US proxies for better success rates. | {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US"} | ## Example Usage ### Input JSON json { "Urls": [ "https://www.shoprite.com/sm/pickup/rsid/3000/product/00050000756223" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ### Output JSON json { "url": "https://www.shoprite.com/sm/pickup/rsid/3000/product/00050000756223", "name": "Coca-Cola Classic Soda, 12 fl oz, 12 Pack", "price": "$5.99", "brand": "Coca-Cola", "description": "Enjoy the refreshing taste of Coca-Cola Classic Soda. This 12-pack of 12 fl oz cans is perfect for parties or everyday refreshment.", "availability": "In Stock", "imageUrl": "https://example.com/image.jpg", "nutritionalInfo": { "calories": 140, "sugar": 39g } } ## Use Cases - Market Research: Analyze product pricing and availability across Shoprite's catalog to identify trends. - Competitive Intelligence: Compare Shoprite products with competitors for pricing strategies. - Price Monitoring: Track price changes for specific items to optimize purchasing decisions. - Content Aggregation: Collect product data for building comparison websites or apps. - Academic Research: Gather data on consumer goods for studies in economics or nutrition. - Business Automation: Automate inventory checks or integrate with e-commerce platforms for real-time updates. ## Installation and Usage 1. Search for "Shoprite Parser Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., add URLs and adjust proxy settings). 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ## Output Format The Actor outputs a JSON array of objects, each representing a scraped product. Key fields include: - url: The original product URL. - name: Product title. - price: Current price (string, e.g., "$5.99"). - brand: Manufacturer or brand name. - description: Detailed product description. - availability: Stock status (e.g., "In Stock"). - imageUrl: Link to product image. - nutritionalInfo: Object with nutritional details (if available). Data is cleaned and structured for easy parsing, with missing fields omitted. ## Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! ---