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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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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with Scraping FREE CHAPTER 2. Data Acquisition and Extraction 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

Creating and running an Elasticsearch container

While we are looking at pulling container images and starting containers, let's go and run an Elasticsearch container.

How to do it

Like most things Docker, there are a lot of different versions of Elasticsearch containers available. We will use the official Elasticsearch image available in Elastic's own Docker repository:

  1. To install the image, enter the following:
$docker pull docker.elastic.co/elasticsearch/elasticsearch:6.1.1
Note that we are using another way of specifying the image to pull. Since this is on Elastic's Docker repository, we include the qualified name that includes the URL to the container image instead of just the image name. The :6.1.1 is...
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