🔥 GitHub Trending Scraper

This project is a simple Python script that scrapes the top 5 trending repositories from GitHub Trending using requests and BeautifulSoup, and saves the results in a CSV file. 📌 Problem Statement Use Python to extract repository names and links from GitHub Trending and store them in a CSV file with two columns:

• Repository Name
• Link 🛠️ Technologies Used
• Python – Programming language
• requests – To fetch HTML content of GitHub Trending page
• BeautifulSoup (bs4) – For parsing and extracting data from HTML
• csv module – To save data in a .csv format
• Git & GitHub – Version control and code hosting
• 🧠 Approach

1. Send an HTTP GET request to https://github.com/trending using the requests library.
2. Parse the HTML using BeautifulSoup to find the top 5 repository blocks.
3. Extract each repository’s name and full GitHub link.
4. Store the extracted data in a CSV file named github_trending.csv.
5. Upload the script, CSV, and this README to a GitHub repository. 📂 Files Included

File Name	Description
script.py	Python script that performs the web scraping
github_trending.csv	Output file containing the top 5 trending repos
README.md	Project explanation and usage details
💻 How to Run

1. Install dependencies (if not already installed):

   pip install requests beautifulsoup4
   python script.py

Check the output file: The script will generate a github_trending.csv file with 2 columns: Repository Name Link