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Python is a popular choice for web scraping due to its simplicity, readability, and a rich ecosystem of libraries designed for this purpose. Here are some of the most commonly used Python libraries for web scraping:
BeautifulSoup
BeautifulSoup is a widely-used library for parsing HTML and XML documents. It creates a parse tree for parsing HTML and XML documents and provides methods and Pythonic idioms for iterating, searching, and modifying the parse tree. It's known for its simplicity and ease of use, making it great for beginners and for quick scraping tasks.
Example:
import requestsfrom bs4 import BeautifulSoup# Making a GET requestr = requests.get('https://www.geeksforgeeks.org/python-programming-language/')# Parsing the HTMLsoup = BeautifulSoup(r.content, 'html.parser')print(soup.prettify())Attributes: Simple API, supports different parsers, automatically handles encodings1.
Scrapy
Python Web Scraping Tutorial - GeeksforGeeks
The latest version of Python , offers a rich set of tools and libraries specifically designed for web scraping, making it easier than ever to retrieve data from the web efficiently and effectively. See more
The requests library is used for making HTTP requests to a specific URL and returns the response. Python requests provide inbuilt … See more
Beautiful Soup provides a few simple methods and Pythonic phrases for guiding, searching, and changing a parse tree: a toolkit for studying a document and removing what you … See more
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