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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
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Richard Penman
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Is web scraping legal?

Web scraping is in the early Wild West stage, where what is permissible is still being established. If the scraped data is being used for personal use, in practice, there is no problem. However, if the data is going to be republished, then the type of data scraped is important.

Several court cases around the world have helped establish what is permissible when scraping a website. In Feist Publications, Inc. v. Rural Telephone Service Co., the United States Supreme Court decided that scraping and republishing facts, such as telephone listings, is allowed. Then, a similar case in Australia, Telstra Corporation Limited v. Phone Directories Company Pty Ltd, demonstrated that only data with an identifiable author can be copyrighted. Also, the European Union case, ofir.dk vs home.dk, concluded that regular crawling and deep linking is permissible.

These cases suggest that when the scraped data constitutes facts (such as business locations and telephone listings), it can be republished. However, if the data is original (such as opinions and reviews), it most likely cannot be republished for copyright reasons.

In any case, when you are scraping data from a website, remember that you are their guest and need to behave politely or they may ban your IP address or proceed with legal action. This means that you should make download requests at a reasonable rate and define a user agent to identify you. The next section on crawling will cover these practices in detail.

You have been reading a chapter from
Python Web Scraping
Published in: Oct 2015
Publisher: Packt
ISBN-13: 9781782164364
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