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PCFOS - Product comparison for online shopping

Akash Prakash Borse Prakash Borse

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Paper Contents

Abstract

In the current era of online business, e commerce has become a huge market for the people to buy goods online. Increasing use of smart devices and other mediums has paved the way for users to buy products almost from anywhere. This has increased involvement of online buyers evolving e-commerce business. These large numbers of e commerce websites put users in turmoil to search and choose to buy a single product from multiple e commerce websites. The proposed solution helps online users to grab best deal for their product from multiple e commerce websites on single web interface. This will in turn save users time, money, and efforts to find the same product prices on different e commerce websites. Proposed system uses web scraping technique to extract data from e commerce web pages and web crawler to links for products. Additionally, this page contains the feature of price alert, which user can set, to get notified by the website whenever the suitable price comes

Copyright

Copyright © 2024 Akash Prakash Borse. This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS40100020053
ISSN: 2321-9653
Publisher: ijprems
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