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Data Science Blog > Data Visualization > Data Web-Scraping salary.com

Data Web-Scraping salary.com

Steven Ginzberg
Posted on May 29, 2016
The skills the author demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.
Contributed by Steven Ginsberg.He is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between April 11th to July 1st, 2016. This post is based on his third class project - Web Scraping, due on the 6th week of the program.

Introduction

For my first web scraping project, I chose SALARY.COM.  My plan was to gather salary data, descriptive information across categories and industries, and compare salary information for various jobs.

From the home page, salary.com has a link to a categories page.  Under each category, there is are up to 15 pages of jobs with summary descriptions.  Each job has a detailed description page, and finally it links to a salary chart, which sometimes (but not always) has an advertising page pop up in between.

Data Web-Scraping salary.com

Page flowchart

Links to all of the web pages are calls to javascript function either through the "href" attribute or an โ€œonclickโ€ event.  I started with Beautiful Soup but switched to Selenium.  You can see my code here.

Data

I made a number of attempts to drill down the 4-5 levels, gather up the detailed information, and get back to the job titles summary page to move on to the next job detail.  Having Selenium click on the link and hitting โ€œBackโ€ gave a number of incongruous and inconsistent errors and results.  Finally, by late Saturday I gave up trying to drill down so many layers.  I downloaded the categories, and was able to reliably flip through the Job Summary pages, gathering the job titles and summary descriptions across many pages and also get back to the starting point consistently.  Finally!

Word Clouds

All of my attempts to drill deeper and get back to the starting point failed.  At the end of the day I pulled 68 categories from the category page and was able to gather summary information for 2,190 jobs.  Since I only had text information, word clouds are the end result.

Data Web-Scraping salary.com

Job Titles

Data Web-Scraping salary.com

Job Descriptions

About Author

Steven Ginzberg

Steven has spent a number of years performing systems development, financial analysis and management in a variety of companies. Most recently, Steven has been working with start-ups helping them go from conception of ideas, identifying technologies, and finally...
View all posts by Steven Ginzberg >

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