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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

Starting and accessing the containers in AWS

In this recipe, we will start our scraper as a service by telling ECS to run our task definition. Then we will check hat it is running by issuing a curl to get contents of a job listing.

Getting ready

We need to do one quick thing before running the task. Tasks in ECS go through revisions. Each time you register a task definition with the same name ("family"), ECS defines a new revision number. You can run any of the revisions.

To run the most recent one, we need to list the task definitions for that family and find the most recent revision number. The following lists all of the task definitions in the cluster. At this point we only have one:

$ aws ecs list-task...
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