Interested in reading the paper? Well, the paper can be found here.
You are welcome to use any of the code or data we collected, but if you do we just ask that you cite us with [BibTex]
As a service to the community, we make the cleaned data used in this project available to the community here. Beware: this archive is 884 MB compressed, and uncompresses to several gigabytes. This archive contains several files, the largest of which are the cleaned and parsed lists of sellers and prices observed during our two crawls. An included README describes the columns in these files. Additionally, we also provide a list of algorithmic sellers detected using the methodology outlined in our paper.