Unleash the power of Python to extract valuable data from the web with our web scraping project. In this tutorial, you’ll learn how to create Python scripts that can automate the process of gathering information from websites.

Whether you’re a data enthusiast, a researcher, or someone looking to stay competitive in the digital age, this step-by-step guide will empower you to navigate and scrape the web for data using Python. Join us in the exciting world of web scraping and see how Python code can transform web content into actionable insights!

Installation

pip install beautifulsoup4

pip install requests

Example of scraping title and all links from the home page of our website

from bs4 import BeautifulSoup

import requests

url = 'https://ideasorblogs.in/5-javascript-challenges-for-beginners-test-your-skills-and-learn-more'

response = requests.get(url)

soup = BeautifulSoup(response.text, 'html.parser')

title = soup.title.string

print(title)

links = soup.find_all('a')

for link in links:
    print(link.text, link['href'])

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