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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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An example dynamic web page

Let's look at an example dynamic web page. The example website has a search form, which is available at http://example.webscraping.com/search, which is used to locate countries. Let's say we want to find all the countries that begin with the letter A:

If we right-click on these results to inspect them with our browser tools (as covered in Chapter 2, Scraping the Data), we would find the results are stored within a div element with ID "results":

Let's try to extract these results using the lxml module, which was also covered in Chapter 2, Scraping the Data, and the Downloader class from Chapter 3, Caching Downloads:

>>> from lxml.html import fromstring
>>> from downloader import Downloader
>>> D = Downloader()
>>> html = D('http://example.webscraping.com/search')
>>> tree = fromstring(html)
>>> tree...
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