DATA ANALYSIS BY WEBSCRAPING USING PYTHON

Abstract

The standard information investigations are constructed on the basis of the root and impact connection. These
investigations are fashioned as an example of tiny inspection, subjective and quantitative examination, and the
rationality way of producing extrapolation examination. This article compares and contrasts the deceitful ethics
and practices of the Web Scraper. It also provides an explanation of how the scraper is prepared in its
functionality. The method is broken down into three parts: first, the web scraper is used to get the needed links
from the internet; second, the data is extracted in order to obtain the data from the source links; and third, the
data is stored in a csv file. For the purpose of carrying out, the Python programming language is used. We are
able to have an acceptable Scraper in our possession if we do this, combining all of them with the moral
understanding of libraries and the working knowledge that we have. This will allow us to generate the output
that we want. The Python programming language is the most suitable option for scraping necessary data from
the website of one's choice because of the vast community and library resources that are available for Python, as
well as the exquisiteness of the coding style that Python has.