Master web scraping techniques using Python. Learn to extract data from websites using BeautifulSoup and Selenium, handle pagination, deal with anti-scraping measures, and build production-ready data pipelines while following ethical practices.
This free web scraping with Python course takes you from the basics of HTTP and HTML all the way through building production-ready scraping pipelines. You will start by understanding what web scraping is, the legal and ethical considerations that govern it, and how browsers and servers communicate. From there, the course moves into practical skills with the Requests library, BeautifulSoup, and CSS selectors, giving you reliable methods for finding and extracting structured data from real websites.
As you progress, the course covers the trickier situations you will actually encounter: handling multi-page results with pagination, managing forms and authentication, working with cookies and headers, and scraping sites that load content through JavaScript using Selenium and Playwright. A dedicated module addresses anti-scraping measures, including rate limiting and proxy rotation, so your scrapers hold up in the real world.
The final modules focus on what happens after the data is collected. You will save scraped content to CSV, JSON, Excel, and databases, clean and validate it, schedule recurring scraper jobs, and assemble a complete scraping pipeline with proper error handling and logging. Three hands-on projects round out the course: a news article scraper, a price tracker, and a data aggregator. Whether you are a researcher, analyst, student, or developer looking to automate data collection, this intermediate course gives you the practical foundation you need. It is completely free, and completing all modules plus the final exam earns you a certificate of completion you can share on LinkedIn or your resume.
10 modules • 30 lessons
Finish every lesson and pass the final exam to earn this free, shareable certificate.
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June 15, 2026
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The course covers the full scraping workflow: HTTP fundamentals, parsing HTML with BeautifulSoup, handling pagination and authentication, automating browsers with Selenium and Playwright, defeating common anti-scraping defenses, and storing cleaned data. It finishes with three real-world projects including a price tracker and a news article scraper.
Yes, the course is completely free and no signup is required to start. If you complete all modules and pass the final exam, you earn a certificate of completion that you can add to your LinkedIn profile or resume.
This is an intermediate course, so you should be comfortable writing basic Python: variables, loops, functions, and working with files. You do not need prior experience with web scraping or web development.
The course works with the Requests library, BeautifulSoup, Selenium, and Playwright. It also covers storing data in CSV, JSON, Excel, and SQL databases, and touches on scheduling scrapers for ongoing data collection.
Yes. The very first module addresses legal considerations, the role of robots.txt, and ethical practices around rate limiting and data use. Understanding these boundaries is treated as a core skill, not an afterthought.
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