方法对比

	移动API数据收集	API数据收集
领域	调查方法论	调查方法论
方法族	Process / pipeline	Process / pipeline
起源年份	2007–2010 (mainstream smartphone era)	2000s–2010s (formalized as a research method)
提出者	Emerged from mobile computing and REST/web API proliferation (Fielding, 2000; widespread adoption ~2007–2010 with smartphone ecosystem)	Emerged from computational social science and web 2.0 platform practices
类型	Digital data collection technique	Digital data collection technique
开创性文献	Luce, M. F., Kahn, B. E., & Malhotra, N. K. (2016). Capturing consumer experiences with mobile research methods. Journal of Consumer Research, 42(6), 949–965.	Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 9780691158648
别名	mobile API data collection, smartphone API data harvesting, mobile app API research data collection, API-driven mobile data collection	API data harvesting, API-driven data collection, programmatic data retrieval, API research data collection
相关	6	5
摘要	Mobile API-based data collection uses mobile devices (smartphones, tablets) to query application programming interfaces — structured web endpoints that return machine-readable data — enabling researchers to gather behavioral, contextual, sensor-enriched, or platform-generated data in real time from participants in their natural environments. It combines the ubiquity of mobile hardware with the scalability and standardization of RESTful or GraphQL APIs.	API-based data collection is a systematic technique in which a researcher sends structured requests to an application programming interface to retrieve data automatically from digital platforms, databases, or services. It is the primary method used in computational social science to gather large-scale social media records, government open data, financial data streams, and scientific repository content in machine-readable formats such as JSON or XML, enabling reproducible and scalable data acquisition that manual collection cannot match.