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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 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...

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