WISHLISTPRODUCTSPRICECOMPARISON WEBSITE PROJECT

Abstract

In the digital age, online shopping has become a dominant mode of purchasing, yet product prices vary significantly across e-commerce platforms. Consumers often face challenges comparing prices manually, leading to inefficient decisionmaking and potential overspending. This project presents a centralized Price Comparison Website designed to aggregate prices of the same product from multiple online retailers and display them in a structured, user-friendly interface. The system automates price retrieval using web scraping APIs, product metadata analysis, and dynamic search querying. A ranking engine analyzes product attributes, price trends, and availability to present users with the most cost-effective option. The project aims to enhance transparency, convenience, and accuracy in online shopping. The proposed solution incorporates backend technologies such as Python, Flask/Django, or Node.js, with data extraction techniques using BeautifulSoup or API-based price fetchers. The frontend is designed for simplicity, enabling users to search products, compare prices, and view detailed product specifications. The system supports real-time updates, ensuring that the displayed prices remain accurate and competitive. Evaluation results demonstrate that the platform significantly reduces user time spent on manual price checking while improving purchasing confidence. This project highlights the importance of automation and data-driven decision-making in modern e-commerce environments.