May 2017
Beginner to intermediate
220 pages
5h 2m
English
Content preview from Python Web Scraping - Second Edition
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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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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.