IFTTT Profile

Measure the IFTTT ecosystem using a data-driven methodology.

This project is maintained by mixianghang

Introduction

Here, we present the data and code of our IMC’17 paper: An Empirical Characterization of IFTTT: Ecosystem, Usage, and Performance. Read through this page to learn more. If you have any further questions, please contact the authors. When you use our datasets or code, please refer to our work.

Xianghang Mi, Feng Qian, Ying Zhang, and XiaoFeng Wang. 
An Empirical Characterization of IFTTT: Ecosystem, Usage, and Performance. 
In Proceedings of IMC ’17. ACM, New York, NY, USA, 7 pages. 
https://doi. org/10.1145/3131365.3131369

Source Code

The source code consists of three parts.

Datasets

Dataset List

We ran a weekly job to crawl IFTTT for Services and Applets from Nov 2016 to May 2017. Here, we provide one snaptshot for each month as shown bellow.

Date Download Download
Nov 2016 TAR.GZ 7Z
Dec 2016 TAR.GZ 7Z
Jan 2017 TAR.GZ 7Z
Feb 2017 TAR.GZ 7Z
Mar 2017 TAR.GZ 7Z
Apr 2017 TAR.GZ 7Z
May 2017 TAR.GZ 7Z

Dataset Descriptions

In each snapshot, you will find the following files.