Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)

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PriceTrackr: A Real-Time E-Commerce Price Comparison Platform

Authors
Avinash Raut1, Vedant Gaidhani1, Mansi Kardile1, *, Sarthak Mankar1, Vinit Mankar1, Ajun Joshi1, Vineet Wagh1
1Vishwakarma Institute of Technology, Pune, Maharashtra, India
*Corresponding author. Email: sanjay.mansi24@vit.edu
Corresponding Author
Mansi Kardile
Available Online 6 January 2026.
DOI
10.2991/978-94-6463-948-3_22How to use a DOI?
Keywords
Automated Price Tracker; E-commerce Scraping; Express.js API; JWT Authentication; MongoDB Atlas; Price Comparison; React Dashboard; Web Scraper
Abstract

With this piling up of online retailing, consumers often find it difficult to look over prices across various e-commerce portals. Looking for the best price across multiple websites might be time-consuming and confusing. PriceTrackr is the solution at hand-a live price comparison website meant for the big Indian platforms such as Amazon, Flipkart, Snapdeal, Meesho, Croma, and Myntra. The system uses automated web scraping and modular architecture to gather product details like price, image, and full purchase link. A central orchestration framework assures scraping happens reliably and continuously, whereas the backend API based on Express.js and Mongo provides access, storage, and authentication for the frontend interface. The dashboard was created using React.js. It allows searching, comparison, and visualization of past price data in an interactive, responsive manner. The experimental results showed highly successful data extraction, where average completeness across the platforms was above 95%. Performance tests have once again proved it capable of scaling well.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
Series
Advances in Intelligent Systems Research
Publication Date
6 January 2026
ISBN
978-94-6463-948-3
ISSN
1951-6851
DOI
10.2991/978-94-6463-948-3_22How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Avinash Raut
AU  - Vedant Gaidhani
AU  - Mansi Kardile
AU  - Sarthak Mankar
AU  - Vinit Mankar
AU  - Ajun Joshi
AU  - Vineet Wagh
PY  - 2026
DA  - 2026/01/06
TI  - PriceTrackr: A Real-Time E-Commerce Price Comparison Platform
BT  - Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
PB  - Atlantis Press
SP  - 313
EP  - 325
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-948-3_22
DO  - 10.2991/978-94-6463-948-3_22
ID  - Raut2026
ER  -