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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

Adding an API to find the skills for a job listing

In this recipe, we add an additional operation to our API which will allow us to request the skills associated with a job listing. This demonstrates a means of being able to retrieve only a subset of the data instead of the entire content of the listing. While we will only do this for the skills, the concept can be easily extended to any other subsets of the data, such as the location of the job, title, or almost any other content that makes sense for the user of your API.

Getting ready

The first thing that we will do is add a scraping function to the sojobs module. This function will be named get_job_listing_skills. The following is the code for this function:

def get_job_listing_skills...
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