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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

Visualizing page relationships on Wikipedia

In this recipe we take the data we collected in the previous recipe and create a force-directed network visualization of the page relationships using the NetworkX Python library.

Getting ready

NetworkX is software for modeling, visualizing, and analyzing complex network relationships. You can find more information about it at: https://networkx.github.io. It can be installed in your Python environment using pip install networkx.

How to do it

The script for this example is in the 08/06_visualizze_wikipedia_links.py file. When...

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