e-Commerce Price Tracker
Abstract
The continuous growth of online shopping platforms has simplified purchasing processes but has also made it difficult for users to identify the most cost-effective options due to rapidly changing prices across different marketplaces. Manually checking and comparing product prices on multiple ecommerce websites is inefficient and time-consuming. This paper introduces a web-based E-Commerce Price Tracker system that enables automated and real-time price comparison for products listed on popular platforms such as Amazon and Flipkart. Users can search for products using keywords or direct product links, allowing the system to extract and compare relevant product details accurately. The application records historical price information and presents graphical price trend analysis to assist users in understanding pricing patterns and selecting appropriate purchase times. Additionally, registered users can receive automated email notifications when product prices reach predefined limits. The system is implemented using a modular and scalable architecture to ensure performance, security, and maintainability. By enhancing price transparency and minimizing manual effort, the proposed solution supports informed purchasing decisions and provides a foundation for future expansion to additional platforms and advanced analytical capabilities.
Fields of Study & Subjects
Consumer Market Behavior and Pricing
Digital Platforms and Economics
Customer churn and segmentation
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 6 January 2026