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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

This chapter analyzed a variety of prominent websites and demonstrated how the techniques covered in this book can be applied to them. We used CSS selectors to scrape Google results, tested a browser renderer and an API for Facebook pages, used a Sitemap to crawl Gap, and took advantage of an AJAX call to scrape all BMW dealers from a map.

You can now apply the techniques covered in this book to scrape websites that contain data of interest to you. As demonstrated by this chapter, the tools and methods you have learned throughout the book can help you scrape many different sites and content from the Internet. I hope this begins a long and fruitful career in extracting content from the Web and automating data extraction with Python!

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