Web Scraping of Machine Learning Mastery Blog Entries Using Python Take 2

SUMMARY: The purpose of this project is to practice web scraping by extracting specific pieces of information from a website. The web scraping code was written in Python 3 and leverages the Scrapy framework maintained by Scrapinghub.

INTRODUCTION: Dr. Jason Brownlee’s Machine Learning Mastery hosts its tutorial lessons at https://machinelearningmastery.com/blog. The purpose of this exercise is to practice web scraping using Scrapy by gathering the blog entries from Machine Learning Mastery’s RSS feed. This iteration of the script automatically traverses the RSS feed to capture all blog entries and store all captured information in a JSON output file.

Starting URLs: https://machinelearningmastery.com/blog

The source code and JSON output can be found here on GitHub.