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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

Using Elasticsearch to query for jobs with specific skills

In this recipe, we move back to using the crawler that we created to scrape and store job listings from StackOverflow in Elasticsearch. We then extend this capability to query Elasticsearch to find job listings that contain one or more specified skills.

Getting ready

The example we will use is coded to use a local Elastic Cloud engine and not a local Elasticsearch engine. You can change that if you want. For now, we will perform this process within a single python script that is run locally and not inside a container or behind an API.

How to do it

...
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