Beautiful Soup is a Python library that is used for web scraping purposes to pull the data out of HTML and XML files. It provides Pythonic idioms for iterating, searching, and modifying the parse tree. Beautiful Soup sits on top of popular Python parsers like lxml and html5lib, allowing you to try out different parsing strategies or trade speed for flexibility.
Here's a simple example of how you might use Beautiful Soup to scrape data from a webpage:
from bs4 import BeautifulSoup
import requests
# Make a request to the website
url = 'https://example.com'
response = requests.get(url)
# Parse the HTML content of the page
soup = BeautifulSoup(response.text, 'html.parser')
# Extract information from the HTML
title = soup.title.text
print(f'Title of the page: {title}')
# Find all the links on the page
links = soup.find_all('a')
for link in links:
print(link.get('href'))
Beautiful Soup is a Python library that is used for web scraping purposes to pull the data out of HTML and XML files. It provides Pythonic idioms for iterating, searching, and modifying the parse tree. Beautiful Soup sits on top of popular Python parsers like lxml and html5lib, allowing you to try out different parsing strategies or trade speed for flexibility.
Here's a simple example of how you might use Beautiful Soup to scrape data from a webpage:
pythonfrom bs4 import BeautifulSoup import requests # Make a request to the website url = 'https://example.com' response = requests.get(url) # Parse the HTML content of the page soup = BeautifulSoup(response.text, 'html.parser') # Extract information from the HTML title = soup.title.text print(f'Title of the page: {title}') # Find all the links on the page links = soup.find_all('a') for link in links: print(link.get('href'))
In this example:
Beautiful Soup provides a range of methods and properties to navigate and search the parse tree. Some commonly used ones include:
Make sure to install Beautiful Soup before using it:
pip install beautifulsoup4
Keep in mind that web scraping should be done responsibly and in compliance with the terms of service of the website you are scraping. It's essential to be aware of legal and ethical considerations when extracting data from websites.