Amazon Scraper is a web scraping tool that extracts structured data from Amazon product pages, search results, reviews, and seller information.
The tool addresses the need to programmatically gather Amazon data at scale without manual browsing. It provides two approaches: a free local scraper for basic product data extraction from Amazon department pages, and a paid API service through Oxylabs that handles more complex scraping tasks. The API approach manages challenges like IP blocking and dynamic content by routing requests through proxy infrastructure and parsing the returned HTML into structured JSON.
The free scraper requires Python 3.11 and works for straightforward product page extraction. The paid API service suits projects needing reliable, large-scale data collection across multiple Amazon domains and data types—search results with category and merchant filtering, individual product details with variant selection, offer listings and pricing data, questions and answers, and best seller rankings. Teams building price monitoring systems, competitive analysis tools, or market research applications would find the API approach more suitable than the free tool, as it handles the operational complexity of scraping at production scale.
Development activity shows consistent maintenance with regular updates to handle Amazon's structural changes. The repository includes working code examples across all supported scraping modes, demonstrating that the tool is actively kept functional against the target website's evolution.
