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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 a task to run our containers

In this recipe, we will create an ECS task. A task tells the ECR cluster manager which containers to run. A task is a description of which containers in ECR to run and the parameters required for each. The task description will feel a lot like that which we have done with Docker Compose.

Getting ready

The task definition can be built with the GUI or started by submitting a task definition JSON file. We will use the latter technique and examine the structure of the file, td.json, which describes how to run our containers together. This file is in the 11/07 recipe folder.

How to do it

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