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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 a generic microservice with Nameko

In the next few recipes, we are going to create a scraper that can be run as a microservice within a Docker container. But before jumping right into the fire, let's first look at creating a basic microservice using a Python framework known as Nameko.

Getting ready

We will use a Python framework known as Nameko (pronounced [nah-meh-koh] to implement microservices. As with Flask-RESTful, a microservice implemented with Nameko is simply a class. We will instruct Nameko how to run the class as a service, and Nameko will wire up a messaging bus implementation to allow clients to communicate with the actual microservice.

Nameko, by default, uses RabbitMQ as a messaging bus. RabbitMQ...

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