Ever thought of fetching some data from some website or wanted to create a structured dataset for some data science problem or for training machine learning model, etc…… if yes, then here is the solution I have got for you…

The solution is Web Scraping also known as Web Harvesting or Web Data Extraction is a tool to extract the data from the website. The data that we obtain from web scraping is in a structured data format.

web scraping is — a tool for turning the unstructured data on the web into machine-readable, structured data that is ready for analysis.

Difference between web crawler and web scraper:

Web crawler: A web crawler, which we generally call a “spider,” is an artificial intelligence that browses the internet to index and searches for content by following links and exploring, like a person with too much time on their hands.

Web scraper: A web scraper is a specialized tool designed to accurately and quickly extract data from a web page. Web scrapers vary widely in design and complexity, depending on the project.

Some time on some websites, data protection is present and using the normal way you won’t be able to fetch the data from the website, so I will be giving the way to solve that issue

For example, let me show you the program using which first time I got the expected response, but then the second time when I tried to extract some more data using the same code from the same website, I got the following error

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Data Protection issue

the program that I wrote for this is as follows:

import the libraries

from urllib.request import urlopen
from bs4 import BeautifulSoup

Beautifulsoup4: Beautiful Soup is a library that makes it easy to scrape information from web pages. It sits atop an HTML or XML parser, providing Pythonic idioms for iterating, searching, and modifying the parse tree.

urllib.request: The urllib.request module defines functions and classes which help in opening URLs (mostly HTTP) in a complex world — basic and digest authentication, redirections, cookies, and more.

#data-science #web-scraping #python-programming #python

Web-Scraping using Python
1.35 GEEK