DATA ANALYSIS BY WEB SCRAPING USING PYTHON

Abstract

Standard information investigations are based on the root-and-effect connection, and are moulded as tiny examinations, subjective and quantitative examinations, and the rationality method to producing extrapolation examinations, for example. The Web Scraper's devious ethics and methods are contrasted, explaining how the scraper works. The method is divided into three parts: the web scraper extracts the needed connections from the internet, the data is retrieved from the source links, and the data is eventually saved in a csv file. The Python programming language is used to carry out the task. By doing so, and by combining all of this with moral library knowledge and practical know-how, we may have an appropriate Scraper in our hands to achieve the required outcome. Python is the most suited language for scraping needed data from the desired website because of its large community and library resources, as well as the exquisiteness of its coding style.