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Pluralsight

Scraping Dynamic Web Pages with Python and Selenium

via Pluralsight

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.
In this course, you will go all the way from saying hello to Selenium to then combining it with Python and Beautiful Soup to learn all about extracting information from a dynamic webpage.

They say data is the new oil, and given what you can do with high quality data, you'd be hard-pressed to disagree. There are many ways to collect data, one of which is extracting the oodles of data swimming around in the form of websites. That is exactly what this course, Scraping Dynamic Web Pages with Python 3 and Selenium, aims to teach. First, you are going to look at how to scrape data from dynamic websites. The main tool used is Selenium, and the course starts off by exploring that. Next, you will move onto the specifics of it, starting with opening a webpage using a web driver. Then you will learn to identify and locate dynamic elements in a webpage and handing the page source over to beautiful soup. Finally, to round off the course, you will explore the common challenges you will face and methods to increase scraping efficiency. When you are finished with this course, you will be able to combine Python, Selenium, and Beautiful Soup to extract data from any dynamic webpage.

Taught by

Pratheerth Padman

Reviews

3.8 rating at Pluralsight based on 82 ratings

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