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Python Web Scraping

You're reading from   Python Web Scraping Successfully scrape data from any website with the power of Python

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Product type Paperback
Published in Oct 2015
Publisher Packt
ISBN-13 9781782164364
Length 174 pages
Edition 1st Edition
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Author (1):
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Richard Penman Richard Penman
Author Profile Icon Richard Penman
Richard Penman
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Toc

Extending the login script to update content


Now that the login automation is working, we can make the script more interesting by extending it to interact with the website and update the country data. The code used in this section is available at https://bitbucket.org/wswp/code/src/tip/chapter06/edit.py. You may have noticed an Edit link at the bottom of each country:

When logged in, this leads to another page where each property of a country can be edited:

We will make a script to increase the population of a country by one person each time it is run. The first step is to extract the current values of the country by reusing the parse_form() function:

>>> import login
>>> COUNTRY_URL = 'http://example.webscraping.com/edit/United-Kingdom-239'
>>> opener = login.login_cookies()
>>> country_html = opener.open(COUNTRY_URL).read()
>>> data = parse_form(country_html)
>>> pprint.pprint(data)
{'_formkey': '4cf0294d-ea71-4cd8-ae2a-43d4ca0d46dd',...
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