Web Scraping for Price Tracking of Electronics Across E-commerce Platforms in Bosnia and Herzegovina

Dublin Core

Title

Web Scraping for Price Tracking of Electronics Across E-commerce Platforms in Bosnia and Herzegovina

Author

Emir Bekrija

Abstract

This project focuses on addressing the challenges of monitoring and comparing electronic product prices across multiple e-commerce platforms. The goal is to develop a web-based price tracking and comparison system that allows users to identify the best deals and analyze potential misleading sales practices. The problem statement highlights the increasing difficulty for consumers to navigate numerous online stores and verify price changes due to the dynamic nature of e-commerce. The methodology involves using web scraping techniques with Python libraries such as BeautifulSoup and Selenium to extract real-time product price data from targeted e-commerce websites (e.g., ekupi.ba, imtec.ba, univerzalno.ba, technomag.com). The collected data is processed and stored in a MySQL database, while the user interface is built using HTML, CSS, JavaScript, and jQuery to display the results. PHP handles server-side functionality for querying and presenting data dynamically. The results demonstrate a functional system capable of displaying product prices across multiple platforms, highlighting the cheapest and most expensive options. Users can also identify suspicious pricing trends, enhancing transparency in online shopping. In conclusion, this price comparison and tracking system provides an efficient and user-friendly solution for monitoring electronic product prices, empowering users to make informed purchasing decisions.

Keywords

price tracking system, web scraping, e-commerce, product comparison, real-time data

Language

English language

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