Requests and BeautifulSoup are two Python libraries that complement each other beautifully for web scraping purposes. Combining them provides a powerful toolkit for extracting data from websites.
Requests is a library that allows you to send HTTP requests to web servers and handle things like cookies, authentication, proxies, and timeouts in a user-friendly way.
BeautifulSoup is a library for parsing and extracting information from HTML and XML documents once you've downloaded them using Requests.
Together they provide a robust way to download, parse, and extract information from web pages.
Here's a simple example scraping a web page:
from bs4 import BeautifulSoup
url = '<https://example.com>'
# Download page with Requests
response = requests.get(url)
html = response.text
# Parse HTML with BeautifulSoup
soup = BeautifulSoup(html, 'html.parser')
# Extract data
h1 = soup.find('h1').text
We use Requests to download the page HTML, then pass that to BeautifulSoup to parse and extract the
Some key advantages of using Requests and BeautifulSoup together:
Overall this combination is simple but extremely powerful for most web scraping needs.
But for a wide range of web scraping tasks, BeautifulSoup paired with Requests provides an easy yet robust data extraction toolkit.