Web Scraping And Data Analysis For Online Shopping With Selenium

Abstract: In the rapidly evolving landscape of online shopping, the amalgamation of web scraping and data analysis has emerged as a powerful toolset, enabling businesses and data scientists to extract valuable insights and make informed decisions. This paper explores the utilization of Selenium, a robust automation tool, in conjunction with data science methodologies for extracting, processing, and analyzing data from e-commerce websites. The methodology involves the utilization of Selenium, a browser automation tool, to navigate through web pages, simulate user interactions, and extract data elements such as product details, prices, reviews, and other relevant information.

Keywords: Web Scraping, Data Analysis, Selenium, E-commerce, Webdriver, Customer behaviour.