Web Scraping with Python and Object-Oriented Programming

Web Scraping with Python and Object-Oriented Programming

I am going to elaborate the reason for choosing the chosen coding structure. I am assuming you have a basic understanding of Python and HTML.

Web Scraping termed as Web data extraction, Web harvesting, Screen Scraping, is a vital mechanism in today’s world. Through Web-Scraping you can extract useful public information from your targeted websites and put together for data analysis, product comparison, making statistical reports, and many more. Python is undoubtedly the most popular language for web scraping and today I am going to give an example of extracting data from IMDB’s website. We are going to get the top 250 movie rankings from all time and display any random 10 movies to the user.

So, let's dive in without spending any more time! At the end, I am going to elaborate the reason for choosing the chosen coding structure. I am assuming you have a basic understanding of Python and HTML. We need the package BeautifulSoup or bs4 in python to do this tutorial.

Firstly, in the terminal write the following command and press enter to install BeautifulSoup package:

pip install bs4

then import the following modules at the top of the file

from bs4 import BeautifulSoup

import requests
import re
import random

tutorial web-scraping python data-extraction object-oriented data-science

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