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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

Installing a RabbitMQ container from Docker Hub

Pre-built containers can be obtained from a number of container repositories. Docker is preconfigured with connectivity to Docker Hub, where many software vendors, and also enthusiasts, publish containers with one or more configurations.

In this recipe, we will install RabbitMQ, which will be used by another tool we use in another recipe, Nameko, to function as the messaging bus for our scraping microservice.

Getting ready

Normally, the installation of RabbitMQ is a fairly simple process, but it does require several installers: one for Erlang, and then one for RabbitMQ itself. If management tools, such as the web-based administrative GUI are desired, that is yet one more step...

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