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Web scraping is the process of extracting data from websites. Python is a popular choice for web scraping due to its simplicity and the availability of powerful libraries. Here, we'll explore some of the essential tools and libraries for web scraping in Python.
Requests Module
The requests library is used for making HTTP requests to a specific URL and returns the response. It provides built-in functionalities for managing both the request and response.
import requests# Making a GET requestr = requests.get('https://www.geeksforgeeks.org/python-programming-language/')# Check status code for response receivedprint(r.status_code) # Success code - 200# Print content of requestprint(r.content)Attributes: This library is simple to use and handles HTTP requests efficiently1.
BeautifulSoup Library
BeautifulSoup is a library that provides simple methods for navigating, searching, and modifying a parse tree. It sits on top of popular Python parsers like lxml and html5lib.
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