Web Scraping In Python: Master The Fundamentals by Stone River eLearning
Description
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
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Course Curriculum
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Start
Introduction (3:20)
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Preview
APIs (2:00)
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Start
Prerequisite Libraries (3:00)
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Start
Introduction to The Modulus Operation (5:01)
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Start
Introduction to Simple Error Handling (4:25)
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Start
Introduction to Pandas (6:41)
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Start
Response Status Codes From a HTTP Request (7:18)
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Start
Reading The Response Text From Our Request (11:40)
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Start
First Approach at Parsing The Data (13:18)
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Preview
Understanding The Exception Cases (6:39)
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Start
Parsing Out All Data for One Company (9:33)
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Start
Determining Where We Can Get More Ticker Symbols (15:46)
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Start
Extracting Company Ticker Symbols Part 1 (16:32)
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Start
Extracting Company Ticker Symbols Part 2 (10:41)
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Start
Getting Data For All Parsed Companies (8:11)
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Start
Final Data For All Parsed Companies (5:13)
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Start
Final Result (1:40)
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Start
Prerequisite Libraries (5:02)
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Preview
Short review: Recursive Functions (7:43)
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Start
Getting started with Selenium (8:47)
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Start
View The Page Source (9:14)
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Start
Website Elements and XPath (8:11)
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Start
Navigating Deeper Into The Page Source (14:37)
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Start
Identifying The Path To Our Data (19:28)
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Start
Using The XPath To Our Data (9:50)
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Preview
Parsing Out Our Data (8:42)
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Start
Getting Our Final Data (14:56)
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Start
Final Results (4:13)
Frequently Asked Questions
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