• Martina D’Souza
• Soham Desai
• Dhruv Agrawal
• Falguni Joshi

In the contemporary era of digital commerce, wherein a myriad of merchandise stands in front of us, the task of discovering the most favorable bargains can be likened to conquering Mount Everest while being blindfolded. This endeavor embarks upon the captivating domain of web scraping, investigating its potential to bring about transformation in traversing the e-commerce landscape. We delve into the methodologies utilized by price comparison websites, dissecting their deployment of web scraping to extract pertinent information about products, compare prices, and equip consumers with invaluable insights. We unravel the secrets behind efficient data extraction, processing, and visualization by employing a technological amalgamation of Beautiful Soup, Flask, Selenium, Node.js, Next.js, and MongoDB. Through this perspective, we unveil the covert mechanisms of electronic commerce platforms, revealing disparities in prices, product variations, and even market trends. This undertaking serves as an illuminating guide, shedding light on the path for consumers to become empowered saviors in online shopping.

web scraping, e-commerce, price comparison, data analysis, user empowerment, technology stack, Beautiful Soup, Flask, Selenium, Node.js, Next.js, MongoDB

"Web Scraping based Product Comparison Model for E-Commerce Website", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.p254-p261, April-2024, Available :http://www.jetir.org/papers/JETIR2404G32.pdf

"Web Scraping based Product Comparison Model for E-Commerce Website", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppp254-p261, April-2024, Available at : http://www.jetir.org/papers/JETIR2404G32.pdf