About This Course

Web scraping is the art of picking out data from a website by looking at the HTML code and identifying patterns that can be used to identify your data. This data can then be gathered and later used for your own analysis.

In this course we will go over the basic of web scraping, learning all about how we can extract data from websites, and all of this is guided along by a work example.

At the end of the course you should be able to go off on your own, and pick out most common websites, and be able to extract all the relevant data you may need just through using Python code.

What will I learn?

  • Tackle new challenges by understand the underlying method/approach to take
  • Scrape static web pages
  • Be able to scrape websites that use Javascript
  • Extract all sorts of data from websites
  • Know what to look for and how to approach parsing a website
  • Gather data from all over the internet
  • Use recursion algorithms to search through website content

What are the requirements?

  • Basic Python knowledge
  • A Python 3 Environment to Code in

Who is the target audience?

  • Anyone interested in analyzing data
  • Anyone who doesn’t know how to start gathering data
  • Anyone who wants to develop their ability to scrape data
  • Anyone interested in starting with web scraping
  • Anyone who is interested in expanding their Python knowledge
  • Anyone who wants to gather a wide array of data to play with

Our Promise to You

By the end of this course, you will have learned web scraping using Python.

30 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.

Get started today and learn more about web scraping using Python.

Course Curriculum

Section 1 - Prerequisite Knowledge
Introduction 00:00:00
APIs 00:00:00
Prerequisite Libraries 00:00:00
Introduction To The Modulus Operation 00:00:00
Introduction To Simple Error Handling 00:00:00
Introduction To Pandas 00:00:00
Section 2 - Static Data Extraction / Web Scraping
Response Status Codes From A HTTP Request 00:00:00
Reading The Response Text From Our Request 00:00:00
First Approach At Parsing The Data 00:00:00
Understanding The Exception Cases 00:00:00
Parsing Out All Data For One Company 00:00:00
Determining Where We Can Get More Ticker Symbols 00:00:00
Extracting Company Ticker Symbols: Part 1 00:00:00
Extracting Company Ticker Symbols: Part 2 00:00:00
Getting Data For All Parsed Companies 00:00:00
Final Data For All Parsed Companies 00:00:00
Final Result 00:00:00
Section 3 - Scraping Websites That Load Data With Javascript
Prerequisite Libraries 00:00:00
Short Review: Recursive Functions 00:00:00
Getting Started With Selenium 00:00:00
View The Page Source 00:00:00
Website Elements And XPath 00:00:00
Navigating Deeper Into The Page Source 00:00:00
Identifying The Path To Our Data 00:00:00
Using The XPath To Our Data 00:00:00
Parsing Out Our Data 00:00:00
Getting Our Final Data 00:00:00
Final Results 00:00:00
Section 4 - APIs overview
Introduction To APIs 00:00:00
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