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Python Web Scraping

You're reading from   Python Web Scraping Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python

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Product type Paperback
Published in May 2017
Publisher
ISBN-13 9781786462589
Length 220 pages
Edition 2nd Edition
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Author (1):
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Katharine Jarmul Katharine Jarmul
Author Profile Icon Katharine Jarmul
Katharine Jarmul
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Toc

Dynamic Content

According to a 2006 study by the United Nations, 73 percent of leading websites rely on JavaScript for important functionalities (refer to http://www.un.org/esa/socdev/enable/documents/execsumnomensa.doc). The growth and popularity of model-view-controller (or MVC) frameworks within JavaScript such as React, AngularJS, Ember, Node and many more have only increased the importance of JavaScript as the primary engine for web page content.

The use of JavaScript can vary from simple form events to single page apps that download the entire page content after loading. One consequence of this architecture is the content may not available in the original HTML, and the scraping techniques we've covered so far will not extract the important information on the site.

This chapter will cover two approaches to scraping data from dynamic JavaScript websites. These are as follows:

  • Reverse engineering JavaScript...
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