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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

Calculating degrees of separation

Now let's calculate the degrees of separation between any two pages. This answers the question of how many pages we need to go through from a source page to find another page. This could be a non-trivial graph traversal problem as there can be multiple paths between the two pages. Fortunately for us, NetworkX, using the exact same graph model, has built in function to solve this with the exact same model from the previous recipe.

How to do it

The script for this example is in the 08/07_degrees_of_separation.py. The code is identical to the previous recipe, with a 2-depth crawl, except that it omits the graph and asks NetworkX to solve the degrees of separation between Python_(programming_language...

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