Web Scraping with Python

Project Description

This Python project demonstrates how to scrape specific information, such as headlines or prices, from a webpage using the requests and BeautifulSoup libraries. The program fetches and parses the webpage content and extracts the desired data using HTML tag identification.

Features

• Fetches HTML content from a webpage using the requests library.
• Parses the HTML content using BeautifulSoup.
• Extracts specific information (e.g., headlines, prices) by identifying and targeting HTML tags.
• Outputs the extracted data in a readable format.

How It Works

1. The requests.get() method downloads the HTML content from the specified URL.
2. The program parses the HTML using BeautifulSoup to create a searchable structure.
3. The find() or find_all() methods are used to extract the desired data (such as headlines within <h2> tags).
4. The extracted data is displayed in the console.

Requirements

• Python 3.x
• Libraries:
  • requests
  • beautifulsoup4

You can install the required libraries using pip:

pip install requests beautifulsoup4