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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

How to collect IP addresses of Wikipedia edits

Processing aggregate results of geocoded IP addresses can provide valuable insights. This is very common for server logs and can also be used in many other situations. Many websites include the IP address of contributors of content. Wikipedia provides a history of changes on all of their pages. Edits created by someone that is not a registered user of Wikipedia have their IP address published in the history. We will examine how to create a scraper that will navigate the history of a given Wikipedia topic and collect the IP addresses of unregistered edits.

Getting ready

We will examine the edits made to the Web scraping page in Wikipedia. This page is available at: https://en...

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