Web Scraping In Python: Master The Fundamentals

Web Scraping In Python: Master The Fundamentals
Web Scraping In Python: Master The Fundamentals

English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 4 Hours | 875 MB
eLearning | Skill level: All Levels


Learn how to extract data from websites

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.

+ Table of Contents

Prerequisite knowledge
APIs
Introduction
Introduction to Pandas
Introduction to Simple Error Handling
Introduction to The Modulus Operation
Prerequisite Libraries

Static Data Extraction_Web Scraping
Determining Where We Can Get More Ticker Symbols
Extracting Company Ticker Symbols Part 1
Extracting Company Ticker Symbols Part 2
Final Data For All Parsed Companies
Final Result
First Approach at Parsing The Data
Getting Data For All Parsed Companies
Parsing Out All Data for One Company
Reading The Response Text From Our Request
Response Status Codes From a HTTP Request
Understanding the Exception Cases

Scraping Websites That Load Data With Javascript
Final Results
Getting Our Final Data
Getting started with Selenium
Identifying The Path To Our Data
Navigating Deeper Into The Page Source
Parsing Out Our Data
Prerequisite Libraries
Short review – Recursive Functions
Using The XPath To Our Data
View The Page Source
Website Elements and XPath

APIs overview
Introduction To APIs