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Web scraping is the process of automatically extracting large amounts of data from websites. This data is typically unstructured in an HTML format and is converted into structured data in a spreadsheet or database for various applications1. Python is a popular language for web scraping due to its simplicity and the availability of powerful libraries.
Key Libraries for Web Scraping in Python
Requests
The requests library is used for making HTTP requests to a specific URL and retrieving the response. It supports various HTTP methods like GET, POST, PUT, PATCH, and DELETE. Here's an example of making a GET request:
import requests# Making a GET requestresponse = requests.get('https://www.geeksforgeeks.org/python-programming-language/')print(response.status_code) # Check status codeprint(response.content) # Print content of the responseBeautifulSoup
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Web Scraping in Python
Web scraping is the process of extracting data from web pages using scripts or programs. Python provides various libraries for web scraping, such as BeautifulSoup, Scrapy, and Requests. Here’s a brief overview of some of the …
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