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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

Integrating the REST API with scraping code

In this recipe, we will integrate code that we wrote for scraping and getting a clean job listing from StackOverflow with our API. This will result in a reusable API that can be used to perform on-demand scrapes without the client needing any knowledge of the scraping process. Essentially, we will have created a scraper as a service, a concept we will spend much time with in the remaining recipes of the book.

Getting ready

The first part of this process is to create a module out of our preexisting code that was written in Chapter 7, Text Wrangling and Analysis so that we can reuse it. We will reuse this code in several recipes throughout the remainder of the book. Let's...

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