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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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Concepts
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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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Toc

Table of Contents (18) Chapters Close

Title Page
Copyright and Credits
Contributors
Packt Upsell
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 1. Other Books You May Enjoy Index

Creating a scraper container


Now we create a container for our scraper microservice. We will learn about Dockerfiles and how to instruct Docker on how to build a container. We will also examine giving our Docker container hostnames so that they can find each other through Docker's integrated DNS system. Last but not least, we will learn how to configure our Nameko microservice to talk to RabbitMQ in another container instead of just on localhost.

Getting ready

The first thing we want to do is make sure that RabbitMQ is running in a container and assigned to a custom Docker network, where various containers connected to that network will talk to each other. Among many other features, it also provides software defined network (SDN) capabilities to provide various types of integration between containers, hosts, and other systems.

Docker comes with several predefined networks built. You can see the networks currently installed by using the docker network ls command:

$ docker network ls
NETWORK ID...
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