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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

BMW

To investigate how to reverse engineer a new website, we will take a look at the BMW site. The BMW website has a search tool to find local dealerships, available at https://www.bmw.de/de/home.html?entryType=dlo:

This tool takes a location and then displays the points near it on a map, such as this search for Berlin:

Using browser developer tools such as the Network tab, we find that the search triggers this AJAX request:

https://c2b-services.bmw.com/c2b-localsearch/services/api/v3/ 
clients/BMWDIGITAL_DLO/DE/
pois?country=DE&category=BM&maxResults=99&language=en&
lat=52.507537768880056&lng=13.425269635701511

Here, the maxResults parameter is set to 99. However, we can increase this to download all locations in a single query, a technique covered in Chapter 1, Introduction to Web Scraping. Here is the result when maxResults is increased to 1000:

>>> import...
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