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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

Google search engine

To investigate using our knowledge of CSS selectors, we will scrape Google search results. According to the Alexa data used in Chapter 4, Concurrent Downloading, google.com is the world's most popular website, and conveniently, its structure is simple and straightforward to scrape.


International Google may redirect to a country-specific version, depending on your location. In these examples, Google is set to the Romanian version, so your results may look slightly different.

Here is the Google search homepage loaded with browser tools to inspect the form:

We can see here that the search query is stored in an input with name q, and then the form is submitted to the path /search set by the action attribute. We can test this by doing a test search to submit the form, which would then be redirected to a URL, such as https://www.google.ro/?gws_rd=cr,ssl&ei=TuXYWJXqBsGsswHO8YiQAQ#q=test...

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