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/'
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'])
Publisher @ideasorblogs
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