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You're reading from  Python Web Scraping. - Second Edition

Product typeBook
Published inMay 2017
Reading LevelIntermediate
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ISBN-139781786462589
Edition2nd Edition
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Katharine Jarmul
Katharine Jarmul
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Katharine Jarmul

Katharine Jarmul is a data scientist and Pythonista based in Berlin, Germany. She runs a data science consulting company, Kjamistan, that provides services such as data extraction, acquisition, and modelling for small and large companies. She has been writing Python since 2008 and scraping the web with Python since 2010, and has worked at both small and large start-ups who use web scraping for data analysis and machine learning. When she's not scraping the web, you can follow her thoughts and activities via Twitter (@kjam)
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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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Python Web Scraping. - Second Edition
Published in: May 2017Publisher: ISBN-13: 9781786462589

Author (1)

author image
Katharine Jarmul

Katharine Jarmul is a data scientist and Pythonista based in Berlin, Germany. She runs a data science consulting company, Kjamistan, that provides services such as data extraction, acquisition, and modelling for small and large companies. She has been writing Python since 2008 and scraping the web with Python since 2010, and has worked at both small and large start-ups who use web scraping for data analysis and machine learning. When she's not scraping the web, you can follow her thoughts and activities via Twitter (@kjam)
Read more about Katharine Jarmul