Abstract
Abstract: An innovative method to facilitate well-informed purchasing decisions by consolidating and analyzing product data sourced from various online platforms. Given the rapid expansion of the e-commerce sector, numerous online retail outlets offer a wide assortment of products, complicating the process of comparing prices and discounts for consumers. By harnessing web scraping technology, we streamline the collection and organization of product information, thereby improving efficiency and accuracy. Our approach involves employing ReactJS for frontend interface design and Node.js for backend server development. At the heart of our methodology lies the integration of web scraping capabilities through Puppeteer, enabling automated extraction of product data. The resultant platform provides users with a seamless browsing experience and comprehensive product insights. Beyond its immediate applications, our research contributes to the advancement of web scraping technology within e-commerce domains.
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