방법 비교

	API 기반 데이터 수집	온라인 설문
분야	조사방법론	조사방법론
계열	Process / pipeline	Process / pipeline
기원 연도	2000s–2010s (formalized as a research method)	Mid-1990s (widespread scholarly adoption ~1995–2000)
창시자	Emerged from computational social science and web 2.0 platform practices	Mick P. Couper, Don A. Dillman (early systematic frameworks)
유형	Digital data collection technique	Quantitative / mixed-methods data collection technique
원전	Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 9780691158648	Couper, M. P. (2000). Web surveys: A review of issues and approaches. Public Opinion Quarterly, 64(4), 464–494.
별칭	API data harvesting, API-driven data collection, programmatic data retrieval, API research data collection	web survey, internet survey, e-survey, computer-assisted web interviewing
관련	5	6
요약	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.	An online survey is a structured data collection instrument hosted on a web platform and completed by respondents via internet-connected devices. It enables large-scale, geographically dispersed data gathering at low cost and with rapid turnaround. Respondents self-administer the questionnaire at their convenience, which reduces interviewer bias and permits automatic data capture. Online surveys are the dominant mode of survey research in social, behavioural, health, and market research today.