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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 API container

At this point, we can only talk to our microservice using AMQP, or by using the Nameko shell or a Nameko ClusterRPCProxy class. So let's put our Flask-RESTful API into another container, run that alongside the other containers, and make REST calls. This will also require that we run an Elasticsearch container, as that API code also communicates with Elasticsearch.

Getting ready

First let's start up Elasticsearch in a container that is attached to the scraper-net network. We can kick that off with the following command:

$ docker run -e ELASTIC_PASSWORD=MagicWord --name=elastic --network scraper-net  -p 9200:9200 -p 9300:9300 docker.elastic.co/elasticsearch/elasticsearch:6.1.1

Elasticsearch...

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