Web scraping is a valuable technique for extracting data from websites. Python, with its libraries like Beautiful Soup and Requests, makes web scraping easy and effective. In this guide, we'll explore how to perform web scraping with Python using these libraries, and we'll provide sample code to demonstrate the process.


Before you start web scraping with Python, ensure you have the following prerequisites:

  • Python installed on your system.
  • Basic knowledge of HTML and CSS for navigating and extracting data from web pages.
  • Understanding of web requests and HTTP protocols.

Installing Beautiful Soup and Requests

You can install Beautiful Soup and Requests using pip. Open your terminal or command prompt and run the following commands:

pip install beautifulsoup4
pip install requests

Performing a Basic Web Scraping

Let's create a basic web scraper in Python using Beautiful Soup and Requests. In this example, we'll scrape the titles of articles from a news website.

import requests
from bs4 import BeautifulSoup
# Define the URL of the webpage to scrape
url = ''
# Send an HTTP GET request to the URL
response = requests.get(url)
# Parse the HTML content of the page
soup = BeautifulSoup(response.text, 'html.parser')
# Extract article titles
article_titles = []
for article in soup.find_all('article'):
title = article.find('h2').text
# Print the extracted titles
for title in article_titles:

Advanced Web Scraping

Web scraping can involve more complex tasks like handling pagination, interacting with forms, and dealing with dynamic websites. You can explore more advanced web scraping techniques using Python.

Ethical Considerations

When web scraping, it's important to respect the website's terms of service and legal requirements. Avoid sending too many requests too quickly, and be mindful of copyright and privacy issues.


Python web scraping with Beautiful Soup and Requests is a powerful skill for data collection and analysis. By understanding the basics and more advanced techniques, you can extract valuable information from websites for various purposes.