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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 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 an ECS cluster

Elastic Container Service (ECS) is an AWS service that runs your Docker containers in the cloud. There is a lot of power (and detail) in using ECS. We will look at a simple deployment that runs our containers on a single EC2 virtual machine. Our goal is to get our scraper to the cloud. Extensive detail on using ECS to scale out the scraper is for another time (and book).

How to do it

We start by creating an ECR cluster using the AWS CLI. The we will create one EC2 virtual machine in the cluster to run our containers.

I've included a shell file, in the 11/06 folder, names create-cluster-complete.sh, which runs through all of these commands in one run.

There are number of steps to getting...

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