Ethical Web Scraping Project (Python)
📌 Overview This project demonstrates three types of ethical Python web scrapers:
- Static scraping** using
BeautifulSoup - Scalable scraping** using
Scrapy - Dynamic JS scraping** using
Playwright
All scripts are designed with built-in middleware to respect ethical and legal constraints, including robots.txt, User-Agent transparency, and rate limiting.
📁 Project Structure
web_scraping_project/ ├── beautifulsoup_scraper.py # Static HTML scraper ├── scrapy_spider.py # Asynchronous crawler with Scrapy ├── playwright_scraper.py # Dynamic scraper with Playwright ├── ethical_mw.py # Middleware enforcing ethical rules ├── requirements.txt # Python dependencies ├── README.md # Project documentation
⚙️ Setup Instructions
- Clone or download this repository.
- Install required packages:
bash pip install -r requirements.txt playwright install # Needed for browser automation
For Jupyter Notebook users: python import nest_asyncio nest_asyncio.apply()
🚀 Running the Scrapers -BeautifulSoup Scraper:python beautifulsoup_scraper.py -Scrapy Spider:scrapy runspider scrapy_spider.py
- Playwright Scraper:python playwright_scraper.py
✅ Ethical Middleware Highlights (ethical_mw.py)
- Respects
robots.txt(viaurllib.robotparser) - Delays requests (rate limit = 1/sec)
- Custom
User-Agent: identifies scraper with contact URL/email - Logs scraping actions (can be extended to database or file)
📚 Research Context This project supports the academic paper: “Advanced Web Scraping with Python: Ethical, Legal, and Technical Challenges” It benchmarks popular scraping tools and proposes best practices for responsible automation.
👤 Author
Shivani Joisar
Master’s Student in Computer Science
IU International University of Applied Sciences
MIT License — for educational and research purposes only.
This project is intended for ethical research and educational use only. Do not scrape websites without explicit permission or in violation of their terms of service.