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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

Modifying the API to search for jobs by skill

In this recipe, we will modify our existing API to add a method to enable searching for jobs with a set of skills.

How to do it

We will be extending the API code. We will make two fundamental changes to the implementation of the API. The first is that we will add an additional Flask-RESTful API implementation for the search capability, and the second is that we will make addresses for both Elasticsearch and our own microservice configurable by environment variables.

The API implementation is in 11/04_scraper_api.py. By default, the implementation attempts to connect to Elasticsearch on the local system. If you are using Elastic Cloud, make sure to change the URL (and make...

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