Özakyildiz, EmreMenemencioglu, OğuzhanHabbal, Adib2024-09-292024-09-2920242149-4916https://search.trdizin.gov.tr/tr/yayin/detay/1234209https://hdl.handle.net/20.500.14619/12601Nowadays, the price of a product varies dramatically across different e-commerce retailers. This study aims to develop a user-friendly price comparison website using Jsoup, state-of-the-art web scraping techniques. The proposed platform gathers data from well-known retailers, analyzes the data to extract product information, and presents it to consumers in real time when needed. Furthermore, to assist users in determining product prices, the platform showcases trending data, economical choices, products that offer the best value per unit, and highly rated items. By meticulously analyzing various product attributes, the platform identifies meaningful patterns and correlations by using SVD algorithm. Users can find both the most affordable product and the recommended option based on other users' reviews. On the other hand, users can avoid the emotional distress of purchasing a product at a higher price than what the marketplace offers. As a result, users are empowered to make more informed purchasing decisions, benefiting from the comprehensive analysis conducted by the platform. The performance of the work was tested using real data grabbed from different marketplaces. The results show our system achieved an acceptable accuracy rate compared to the industrial solutions and relevant literature.eninfo:eu-repo/semantics/openAccessArticle37127123420910