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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

Geocoding an IP address

Geocoding is the process of converting an address into geographic coordinates. These addresses can be actual street addresses, which can be geocoded with various tools such as the Google maps geocoding API (https://developers.google.com/maps/documentation/geocoding/intro). IP addresses can be, and often are, geocoded by various applications to determine where computers, and their users, are located. A very common and valuable use is analyzing web server logs to determine the source of users of your website.

This is possible because an IP address does not only represent an address of the computer in terms of being able to communicate with that computer, but often can also be converted into an approximate physical location by looking it up in IP address / location databases. There are many of these databases available, all of which are maintained by various...

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