Collecting mobile datasets remains challenging for academic researchers due to limited data access and technical barriers. Commercial organizations often possess exclusive access to mobile data, leading to a "data monopoly" that restricts the independence of academic research. Existing open-source mobile data collection frameworks primarily focus on mobile sensing data rather than screen content, which is crucial for various research studies. We present Crepe, a no-code Android app that enables researchers to collect information displayed on screen through simple demonstrations of target data. Crepe utilizes a novel Graph Query technique which augments the structures of mobile UI screens to support flexible identification, location, and collection of specific data pieces. The tool emphasizes participants' privacy and agency by providing full transparency over collected data and allowing easy opt-out. We designed and built Crepe for research purposes only and in scenarios where researchers obtain explicit consent from participants. Code for Crepe will be open-sourced to support future academic research data collection.

翻译：收集移动数据集对学术研究者而言仍具挑战性，主要源于受限的数据访问途径和技术壁垒。商业组织往往独占移动数据访问权限，形成“数据垄断”现象，制约了学术研究的独立性。现有开源移动数据收集框架主要聚焦移动传感数据，而非对多种研究至关重要的屏幕内容。我们提出Crepe——一款零代码安卓应用程序，研究者仅需通过目标数据的简单演示即可收集屏幕显示信息。Crepe采用创新的图查询（Graph Query）技术，通过增强移动UI界面的结构性特征，支持灵活识别、定位和收集特定数据片段。该工具通过完整披露已收集数据并为参与者提供便捷退出机制，充分保障其隐私权与自主权。Crepe仅面向明确获得参与者知情同意的科研场景设计与构建。我们将开源Crepe代码，以支持未来学术研究的数据收集工作。