• Dr.M.Rajeswari
• D. Pavyaasree

The aim of this paper is to extract data from e-commerce websites for comparison using python. In this rising world of the internet, there are many eCommerce websites available it becomes hard to extract product details from these websites. Web scraping is one of the essential procedures for information amassing. Web scraping is a method of extracting information from numerous websites and depending on the tool quit-customers can get admission to the information in several codecs such as spreadsheet, CSV, JSON, XML, and database. Web scraping is used in lots of fields like e-commerce, market studies, logo monitoring and etc. This system proposes a method of fetching product records from eCommerce websites and evaluating them.

Web Scraping, e-Commerce Websites, Beautifulsoup, Mining, HTML, Python

"SCRAPE THE PRODUCT DETAILS FROM E-COMMERCE WEBSITES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.158-162, June-2022, Available :http://www.jetir.org/papers/JETIRFN06026.pdf

"SCRAPE THE PRODUCT DETAILS FROM E-COMMERCE WEBSITES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp158-162, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06026.pdf