I’ve compiled a hands-on Python Web Scraping & Data Extraction repository that walks you from beginner to advanced projects. Learn to extract data from websites, interact with APIs, clean and store it, and even visualize it with charts.
Check out the full repo here: https://github.com/b5119/python-web-scraping-projects
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Quick contrast: BeautifulSoup is your scalpel, Scrapy’s the full workshop. we also bake in responsible scraping-robots.txt, polite rate limits, and proper User-Agents. For JS-heavy pages we’ll use Selenium when we must, but we’d rather snag the site’s internal API for speed. Storage scales from CSV/JSON to SQLite to Postgres, and for bigger runs we cover asyncio/aiohttp plus Celery + RabbitMQ, with resilient selectors and logs/alerts so things don’t silently break. We also show how to discover undocumented APIs via the browser Network tab + Postman, and we plot results both for insights and scraper health.