This project demonstrates web scraping using Python by extracting video-related information from YouTube and storing it in a structured format for analysis.
It focuses on data collection, handling, and basic exploratory use of scraped data.
- Extracts YouTube video-related data
- Stores data in CSV format
- Beginner-friendly implementation
- Easy to modify and extend
- Python 🐍
- Pandas – Data manipulation
- Requests / BeautifulSoup – Web scraping
- Jupyter Notebook
- CSV – Data storage
- 📓 YoutubeScraper.ipynb – Main notebook with scraping logic
- 📊 GFG.csv – Sample/output dataset
- 📄 README.md – Project documentation
- Sends requests to fetch video-related data
- Parses and extracts useful information
- Structures data using Pandas
- Stores results in CSV format
The dataset may include:
- Video title
- Channel name
- Views
- Upload date
- Additional metadata (depending on implementation)
This project is built to:
- Learn web scraping fundamentals
- Practice data extraction and storage
- Work with real-world web data
- Build beginner-friendly data projects
This project is for educational purposes only.
Scraping YouTube may violate their Terms of Service. Use responsibly and avoid excessive requests.
- Add error handling
- Support multiple queries
- Export data to databases
- Improve scraping performance
Anupam Singh
Student | Python Enthusiast | Data Science Learner