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Python Web Scraping Cookbook

You're reading from   Python Web Scraping Cookbook Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787285217
Length 364 pages
Edition 1st Edition
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Author (1):
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Michael Heydt Michael Heydt
Author Profile Icon Michael Heydt
Michael Heydt
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with Scraping 2. Data Acquisition and Extraction FREE CHAPTER 3. Processing Data 4. Working with Images, Audio, and other Assets 5. Scraping - Code of Conduct 6. Scraping Challenges and Solutions 7. Text Wrangling and Analysis 8. Searching, Mining and Visualizing Data 9. Creating a Simple Data API 10. Creating Scraper Microservices with Docker 11. Making the Scraper as a Service Real 12. Other Books You May Enjoy

Handling paginated websites

Pagination breaks large sets of content into a number of pages. Normally, these pages have a previous/next page link for the user to click. These links can generally be found with XPath or other means and then followed to get to the next page (or previous). Let's examine how to traverse across pages with Scrapy. We'll look at a hypothetical example of crawling the results of an automated internet search. The techniques directly apply to many commercial sites with search capabilities, and are easily modified for those situations.

Getting ready

We will demonstrate handling pagination with an example that crawls a set of pages from the website in the provided container. This website models...

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