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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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Summary

In this chapter, we learned that caching downloaded web pages will save time and minimize bandwidth when recrawling a website. However, caching pages takes up disk space, some of which can be alleviated through compression. Additionally, building on top of an existing storage system, such as Redis, can be useful to avoid speed, memory, and filesystem limitations.

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

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