You are viewing a single comment's thread from:
RE: Exploring incentives: An Investigation of thousands of logs reveals exactly what most Actifitters aim for
Nice one, so how did you crawl all the data? Beautiful souped it? Or is it somewhere available in a nice format?
Thank you. I went to https://actifit.io/activity and ran actiona to click the "load more" button and scrolling down. Then from time to time i marked all and copied. I then had a custom python script doing regular expressions on that. Probably not the most elegant way, but it solved the job :) My script only saved the time (minutes ago), movements and rewards, though. If it something you are interested in, I see no harm in sharing it :)
Would be great if you could put it on github :) I think that going through the voting history of actifit would lead to a more robust script. I will think a bit about it and write up a script.
It is interesting to think about how to develop predictive models on the data for actifit. Of course because it is fun but I guess it also has influence on actifit's economic model.
Posted using Partiko Android