ecommerce-listing

To extract product listings from an ecommerce search results page, navigate to the category or results page and run the extractor. It reads JSON-LD ItemList and DOM card parsers to output structured JSON with url, name, price, currency, image, rating, and review_count fields.

Yes, web scraping works across Amazon, Walmart, Shopify collections, WooCommerce, eBay, and Google Shopping. It is site-agnostic and applies to public product listings, using fallback strategies to parse data from different page structures.

You can extract product data from multi-page category results using the pagination support feature. It provides paginated product arrays and navigates through multi-page results until completion, returning a structured JSON list for each page.

JSON-LD ItemList extraction works by reading structured metadata embedded in the ecommerce page, parsing it to retrieve product details. If JSON-LD is missing, it uses a DOM-based card parser as a fallback to ensure data extraction.

The best way to scrape product prices and ratings from a category page is using a site-agnostic extractor that returns standardized JSON. It captures price, currency, rating, and review_count alongside URLs and images, reducing manual scraping effort.

Scraping keyword-filtered search results is limited to public product listings on supported sites. It relies on JSON-LD and DOM parsing, so pages heavily obfuscated or requiring login may prevent successful data extraction.