Udemy - Beautiful Soup & Requests for Data Science 2025

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Free Download Udemy - Beautiful Soup & Requests for Data Science 2025
Published 4/2025
Created by Dr. Alexander Schlee
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 24 Lectures ( 4h 45m ) | Size: 2.9 GB

Master Web Scraping with Beautiful Soup & Requests and Python: From Beginner to Advanced + Quizzes
What you'll learn
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
Requirements
Basic knowledge of Python (variables, loops)
A computer with Python installed
Internet connection and curiosity to work with real-world data
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:Read and parse HTML using Beautiful SoupSend and manage requests to websitesWork with real websites and extract meaningful dataClean, format, and export data for analysisUse scraping as a data source in your own projectsWhether 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
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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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

  • 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

Requirements

  • Basic knowledge of Python (variables, loops)
  • A computer with Python installed
  • Internet connection and curiosity to work with real-world data

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:

  • 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.

Who this course is for:

  • 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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