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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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Reverse engineering a dynamic web page

So far, we tried to scrape data from a web page the same way as introduced in Chapter 2, Scraping the Data. This method did not work because the data is loaded dynamically using JavaScript. To scrape this data, we need to understand how the web page loads the data, a process which can be described as reverse engineering. Continuing the example from the preceding section, in our browser tools, if we click on the Network tab and then perform a search, we will see all of the requests made for a given page. There are a lot! If we scroll up through the requests, we see mainly photos (from loading country flags), and then we notice one with an interesting name: search.json with a path of /ajax:

If we click on that URL using Chrome, we can see more details (there is similar functionality for this in all major browsers, so your view may vary; however the main features should function...

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