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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 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

Creating a REST API with Flask-RESTful

We start with the creation of a simple REST API using Flask-RESTful. This initial API will consist of a single method that lets the caller pass an integer value and which returns a JSON blob. In this recipe, the parameters and their values, as well as the return value, are not important at this time as we want to first simply get an API up and running using Flask-RESTful.

Getting ready

Flask is a web microframework that makes creating simple web application functionality incredibly easy. Flask-RESTful is an extension to Flask which does the same for making REST APIs just as simple. You can get Flask and read more about it at flask.pocoo.org. Flask-RESTful can be read about at https...

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