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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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Rendering a dynamic web page

For the example search web page, we were able to quickly reverse engineer how the API worked and how to use it to retrieve the results in one request. However, websites can be very complex and difficult to understand, even with advanced browser tools. For example, if the website has been built with Google Web Toolkit (GWT), the resulting JavaScript code will be machine-generated and minified. This generated JavaScript code can be cleaned with a tool such as JS beautifier, but the result will be verbose and the original variable names will be lost, so it is difficult to understand and reverse engineer.

Additionally, higher level frameworks like React.js and other Node.js-based tools can further abstract already complex JavaScript logic and obfuscate data and variable names and add more layers of API request security (by requiring cookies, browser sessions and timestamps or using other...

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