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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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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 (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

Running a Docker container (RabbitMQ)

In this recipe we learn how to run a docker image, thereby making a container.

Getting ready

We will start the RabbitMQ container image that we downloaded in the previous recipe. This process is representative of how many containers are run, so it makes a good example.

How to do it

We proceed with the recipe as follows:

  1. What we have downloaded so far is an image that can be run to create an actual container. A container is an actual instantiation of an image with specific parameters needed to configure the software in the container...
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