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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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Summary

In this chapter, we learned that caching downloaded web pages will save time and minimize bandwidth when recrawling a website. The main drawback of this is that the cache takes up disk space, which can be minimized through compression. Additionally, building on top of an existing database system, such as MongoDB, can be used to avoid any filesystem limitations.

In the next chapter, we will add further functionalities to our crawler so that we can download multiple web pages concurrently and crawl faster.

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