Web Scraping using Python: A Beginner's Guide - Startxlabs

Web Scraping using Python – A Beginner’s Guide

Python helps in doing a number of things nowadays. Likewise, it establishes its importance in web scrapping. Web scrapping deals with extracting data from the web, manipulating and cleaning the data. This article will help you in learning about Web scrapping and how it is done using Python libraries.

What is Web Scraping?

An automated method that extracts an enormous amount of data from websites called Web Scraping. The data available on the websites are usually in the form of unstructured data. The web scraping method collects them and stores them as structured data. There are many ways to perform web scraping. One of the most popular ways is by using Python.

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Why Web Scraping?

We have seen that collecting a large amount of data from websites is called web scraping. However, why do we have to collect them? What is the purpose of web scraping? Let’s answer these questions below. Here are some of the applications of web scraping:

Is Python Good for Web Scraping?

Among all, Python is good for scraping websites to collect an enormous amount of data. Here are the reasons below.

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Steps used in Web Scraping:

Developing the code for performing web scraping depends on your style. However, the process while executing the code remains the same for all. Once you run your code, the URL of the website you wanted to scrap receives a request. As a response to it, the server sends back the data and lets you read the website’s HTML or XML code. The HTML code then gets parsed and you can find the data and extract it. Extracting the website’s data involves the following steps:

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Author: Akash Upadhyay

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