Python Web Scraping Tutorials

Learn how to extract data from websites using Python. These tutorials cover HTTP requests, parsing HTML with CSS selectors and XPath, handling pagination and sessions, submitting forms, and working with authentication. Build robust crawlers and automation with libraries like Requests, BeautifulSoup, Scrapy, and Selenium.

Free Bonus: Click here to download a “Python + Selenium” project skeleton with full source code that you can use as a foundation for your own Python web scraping and automation apps.

Store results in CSV, JSON, or databases such as SQLite, PostgreSQL, or MongoDB. Add retries, caching, and polite rate limits. Understand robots.txt, terms of service, and ethical scraping.

Browse all resources below, or commit to a guided Learning Path with progress tracking: