Web scraping and APIs have become one of the most important data collection methods in academic (marketing) research. While you can find many resources on how to scrape, or how to access data from APIs, none of these tutorials will teach you how the way you scrape affects your research. This is the void we will.
We’ve used web scraping and APIs in our research for more than 10 years. And we’re (finally) ready to pass on the knowledge to you. Even if you’re not enrolled in our class, you can make use of our material.
Feedback is appreciated always.
Instructors and Creators
The course is coordinated and instructed by Hannes Datta. Want to get in touch with him during the course? Visit the support section.
The course material, if not indicated otherwise, has been developed by Hannes Datta from Tilburg University, with the support of Roy Klaasse Bos and Ralph Delsing.
In developing this course, we have borrowed from some of the finest (open) content on the web, among others:
- Adam Williamson. (2020). Python coding - How to access the Reddit API tutorial.
- Brian C. Keegan. (2019). Web Data Scraping S2019.
- Colt Steele. (2020). The Modern Python 3 Bootcamp.
- Hannah Cushman Garland. (2020). Web scraping with Python.
This course adheres to the principles of the Open Science Community of Tilburg University. This initiative advocates for transparency and accessibility in research and teaching to all levels of society and thus creating more accountability and impact.
This course is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. In other words, you’re invited to contribute to it, or even copy and modify it to suit your needs.
Spread the word about this open education initiative!
This website has been generated using the Tilburg Science Hub Hugo template for open science and education projects. The content of this website does not necessarily reflect the official policy or position of Tilburg University.