IT & Software

Web Scraping for Data Science – Python & Selenium – Basics

Learn how to scrape data from the web using XPath and Selenium

What you’ll learn

  • Web Scraping with Selenium
  • Most Important Concepts of XPath
  • Scraping Tables
  • Data Extraction for Data Science
  • Combination of Python, Selenium, Pandas



You will learn the fundamentals of XPath, Selenium and the Web Scraping Process in this Web Scraping for Data Science – Python & Selenium – Basics course. Our first step will be to cover the Fundamentals, then we will scrape data from actual websites. We will begin by collecting data from Yelp, followed by scraping tables to complete the Real Life Project. Before you start with the Real Life Projects, you will familiarize yourself with all the basic knowledge that is required to complete them. Please feel free to ask a question in the forum section whenever you need to. You can expect a response to your question from me or from one of the other students as soon as possible.

You will be able to use Selenium for Web Scraping in your personal projects after completing this Web Scraping for Data Science – Python & Selenium – Basics course. This is especially crucial for Data Scientists. They need the ability to extract the data they need to analyze. You will get downloadable documents which will allow you to refer to all topics covered throughout the course. Throughout the course, regular updates will take place. As a teacher, it is my goal that all my students understand the concepts of Selenium, XPath and the whole web scraping process. You must be familiar with Python programming basics to be able to succeed in this Web Scraping for Data Science – Python & Selenium – Basics course.

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Who this course is for:

  • People who want to learn the Fundamentals of Web Scraping with Python and apply the knowledge to Real Life Projects;
  • Data Enthusiasts
  • People who want to learn how to collect Data with Selenium & Python

Created by Alexander Schlee
Last updated 7/2021
Size: 1.4 GB

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