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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

Product type Paperback

Published in Feb 2018

Publisher Packt

ISBN-13 9781787285217

Length 364 pages

Edition 1st Edition

Languages

Python

Tools

AWS

Concepts

Data Mining

Author (1):

Michael Heydt

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Table of Contents (13) Chapters

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

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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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Authors (1)

Michael Heydt

Michael Heydt

Michael Heydt is an independent consultant, programmer, educator, and trainer. He has a passion for learning and sharing his knowledge of new technologies. Michael has worked in multiple industry verticals, including media, finance, energy, and healthcare. Over the last decade, he worked extensively with web, cloud, and mobile technologies and managed user experiences, interface design, and data visualization for major consulting firms and their clients. Michael's current company, Seamless Thingies , focuses on IoT development and connecting everything with everything. Michael is the author of numerous articles, papers, and books, such as D3.js By Example, Instant Lucene. NET, Learning Pandas, and Mastering Pandas for Finance, all by Packt. Michael is also a frequent speaker at .NET user groups and various mobile, cloud, and IoT conferences and delivers webinars on advanced technologies.

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