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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

Creating and configuring an Elastic Cloud trial account

In this recipe we will create and configure an Elastic Cloud trial account so that we can use Elasticsearch as a hosted service. Elastic Cloud is a cloud service offered by the creators of Elasticsearch, and provides a completely managed implementation of Elasticsearch.

While we have examined putting Elasticsearch in a Docker container, actually running a container with Elasticsearch within AWS is very difficult due to a number of memory requirements and other system configurations that are complicated to get working within ECS. Therefore, for a cloud solution, we will use Elastic Cloud.

How to do it

We'll proceed with the recipe as follows:

  1. Open your browser...
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