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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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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

Querying the DOM with XPath and lxml

XPath is a query language for selecting nodes from an XML document and is a must-learn query language for anyone performing web scraping. XPath offers a number of benefits to its user over other model-based tools:

  • Can easily navigate through the DOM tree
  • More sophisticated and powerful than other selectors like CSS selectors and regular expressions
  • It has a great set (200+) of built-in functions and is extensible with custom functions
  • It is widely supported by parsing libraries and scraping platforms

XPath contains seven data models (we have seen some of them previously):

  • root node (top level parent node)
  • element nodes (<a>..</a>)
  • attribute nodes (href="example.html")
  • text nodes ("this is a text")
  • comment nodes (<!-- a comment -->)
  • namespace nodes
  • processing instruction nodes

XPath expressions can...

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Python Web Scraping Cookbook
Published in: Feb 2018
Publisher: Packt
ISBN-13: 9781787285217
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