A small scraper that demonstrates how to collect course information from Udemy (or similar course listing pages) for learning and analysis purposes. It shows how to use requests and BeautifulSoup (or Selenium when JavaScript rendering is required).

• The script fetches the HTML of a course listing page and parses it to extract course titles, instructors, prices, ratings, and other metadata.
• If the site uses dynamic loading, Selenium can be used to render the page before scraping.

Main script: Udemy.py

• Python 3.x
• requests, beautifulsoup4 (pip install requests beautifulsoup4)
• (Optional) selenium and a browser driver if needed for dynamic pages

1. Install dependencies: pip install requests beautifulsoup4
2. Run: python Udemy.py
3. The script outputs scraped data to the console or a CSV file (udemy.csv) when configured.

This project demonstrates basic web scraping techniques, the importance of respecting robots.txt, rate-limiting, and legal/ethical considerations when scraping. Use it as a starting point to build a structured dataset for analysis, and always scrape responsibly.