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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
Languages
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Concepts
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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 (18) Chapters Close

Title Page
Copyright and Credits
Contributors
Packt Upsell
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 1. Other Books You May Enjoy Index

Scraping a job listing from StackOverflow 


Now let's pull a bit of this together to scrape information from a StackOverflow job listing.  We are going to look at just one listing at this time so that we can learn the structure of these pages and pull information from them.  In later chapters, we will look at aggregating results from multiple listings.  Let's now just learn how to do this.

Getting ready

StackOverflow actually makes it quite easy to scrape data from their pages.  We are going to use content from a posting at https://stackoverflow.com/jobs/122517/spacex-enterprise-software-engineer-full-stack-spacex?so=p&sec=True&pg=1&offset=22&cl=Amazon%3b+.  This likely will not be available at the time you read it, so I've included the HTML of this page in the 07/spacex-job-listing.html file, which we will use for the examples in this chapter.

StackOverflow job listings pages are very structured.  It's probably because they're created by programmers and for programmers.  The...

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