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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
Languages
Tools
Concepts
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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 (18) Chapters Close

Title Page
Copyright and Credits
Contributors
Packt Upsell
Preface
1. Getting Started with Scraping FREE CHAPTER 2. Data Acquisition and Extraction 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 1. Other Books You May Enjoy Index

Scraping legality and scraping politely


There's no real code in this recipe.  It's simply an exposition of some of the concepts related to the legal issues involved in scraping.  I'm not a lawyer, so don't take anything I write here as legal advice.  I'll just point out a few things you need to be concerned with when using a scraper.

Getting ready

The legality of scraping breaks down into two issues:

  • Ownership of content
  • Denial of service

Fundamentally, anything posted on the web is open for reading.  Every time you load a page, any page, your browser downloads that content from the web server and visually presents it to you. So in a sense, you and your browser are already scraping anything you look at on the web.  And by the nature of the web, because someone is posting content publicly on the web, they are inherently asking you to take that information, but often only for specific purposes.

The big issue comes with creating automated tools that directly look for and make copies of things on...

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