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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
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Implementing Web Scraping in Python with Scrapy
- Estimated Reading Time: 4 mins
- Published: May 8, 2018
- Creating virtual environment. It is good to create one virtual environment as it …
- Installing Scrapy module. Install Scrapy by using : pip install scrapy. To install …
- Creating Scrapy project. While working with Scrapy, one needs to create …
- Creating Spider. Move to the spider folder and create gfgfetch.py. While …
- Fetching data from given page. Before writing parse function, test few things …
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Feb 5, 2023 · In this article, we're going to take a closer look at the web scraping utilities of Python. We'll explore the different use cases and look at a few of the most popular libraries to help make the process easier. Let's dive in. What Is …
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