In today’s increasingly competitive e-commerce landscape, Amazon automated data scraping has become a key technology for sellers to improve efficiency and reduce operational costs. Traditional manual data collection methods are not only time-consuming and labor-intensive but also prone to errors. In contrast, intelligent data scraping solutions can help sellers save up to 80% in time costs. This article will provide an in-depth exploration of how to build an efficient automated scraping system and showcase its practical application value in e-commerce operations through real-world case studies.