Unlock the power of web scraping for your data science journey!
In this hands-on course, you’ll learn how to collect, clean, and organize data from websites using Python’s most popular libraries — Beautiful Soup and Requests.

Web scraping is a vital skill in today’s data-driven world. Whether you're trying to collect real estate listings, product data, financial information, or research content — this course will show you how to automate the process from start to finish.

You’ll begin with the basics: how the web works, how HTML and the DOM are structured, and how to target specific content on a page. Step by step, you'll move on to real-world scraping techniques, navigating through nested elements, handling pagination, and exporting your data into formats ready for analysis.

To reinforce your skills, we’ve included 3 complete projects where you’ll build practical scrapers for real estate listings, book catalogs, and restaurant directories. You’ll also learn how to save your data into CSV, JSON, and Excel — perfect for further analysis with pandas or Excel.

By the end of this course, you'll be confident in your ability to:

• Read and parse HTML using Beautiful Soup

• Send and manage requests to websites

• Work with real websites and extract meaningful data

• Clean, format, and export data for analysis

• Use scraping as a data source in your own projects

Whether you’re preparing for a data science job, building a personal project, or just curious about how websites work behind the scenes — this course is for you.