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Beautiful Soup & Requests for Data Science 2025
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 4h 45m | 2.89 GB
Instructor: Dr. Alexander Schlee
Master Web Scraping with Beautiful Soup & Requests and Python: From Beginner to Advanced + Quizzes
What you'll learn
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[*]How to use Beautiful Soup and Requests to extract data from websites
[*]Extract, transform, and save data into CSV, JSON, and Excel
[*]Apply scraping in a Data Science context (e.g. for analysis or automation)
[*]Handle pagination, dynamic content, and clean extracted data
[*]Build 3 complete hands-on projects
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Requirements
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[*]Basic knowledge of Python (variables, loops)
[*]A computer with Python installed
[*]Internet connection and curiosity to work with real-world data
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Description
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:
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[*]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
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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.
Who this course is for:
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[*]Beginners who want to get started with web scraping using Python
[*]Data analysts or aspiring data scientists looking to collect real-world data
[*]Developers or automation enthusiasts wanting to extract data from websites
[*]Students or researchers working on data projects involving websites
[*]Anyone who wants to master Beautiful Soup and Requests in practice
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More Info
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