What's included

• 1. Data Extraction & Processing

  ✅ Clean and structured dataset (CSV, JSON, Excel, or database) ✅ Web scraping script (Python: Scrapy, Selenium, BeautifulSoup) ✅ Handling pagination, AJAX, and dynamic content loading

• 2. Automation & Performance Optimization

  ✅ Automated scraping workflow with scheduling (Cron jobs, Airflow) ✅ Data deduplication, cleaning, and validation ✅ Rate-limiting and proxy integration to avoid blocks

• 3. Data Storage & Integration

  ✅ Database integration (PostgreSQL, MySQL, MongoDB, Firebase) ✅ API development for real-time data access (FastAPI/Flask) ✅ Cloud storage setup (AWS S3, Google Drive, Azure Blob)

• 4. Error Handling & Monitoring

  ✅ Robust exception handling and logging ✅ Monitoring dashboard for scraper performance ✅ Alerts for website structure changes

• 5. Documentation

  ✅ Well-documented code with usage instructions ✅ API documentation (Swagger/Postman)