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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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Toc

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

Making the Scraper as a Service Real

In this chapter, we will cover:

  • Creating and configuring an Elastic Cloud trial account
  • Accessing the Elastic Cloud cluster with curl
  • Connecting to the Elastic Cloud cluster with Python
  • Performing an Elasticsearch query with the Python API
  • Using Elasticsearch to query for jobs with specific skills
  • Modifying the API to search for jobs by skill
  • Storing configuration in the environment
    Creating an AWS IAM user and a key pair for ECS
  • Configuring Docker to authenticate with ECR
  • Pushing containers into ECR
  • Creating an ECS cluster
  • Creating a task to run our containers
  • Starting and accessing the containers in AWS
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