Title:Revolutionizing Online Shopping With PriceScrapper: A Cross-Platform Price Comparison and Tracking Tool


Authors:Kanishk Jain, Naitya Garg, Nipurn Verma, Nidhi Nigam, Chanchal Bansal


Published in: Volume 3 Issue 1 Jan June 2026, Page No.443-451


DOI: 10.63844/IJAITR.v3.i1.2026.443-451 cite


Keywords:Spring Boot, Spring Security, React, Machine Learning, AQI, Data Analysis


Abstract: This paper presents PriceScrapper, a cross-platform application designed to streamline and enhance the online shopping experience by offering intelligent price comparison, real-time product tracking, and alert-based purchasing decisions. Built using Flutter for frontend development and supported by Firebase and Python-based web scraping for backend services, the application empowers users to make informed purchasing choices. PriceScrapper integrates machine learning to forecast price trends and delivers customizable notifications for price drops, ensuring optimal deals for users. This project aims to introduce automation, transparency, and efficiency into the online consumer journey.


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