Salīdzināt metodes

	Datu vākšana, izmantojot API	Tiešsaistes aptauja
Nozare	Aptauju metodoloģija	Aptauju metodoloģija
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	2000s–2010s (formalized as a research method)	Mid-1990s (widespread scholarly adoption ~1995–2000)
Autors	Emerged from computational social science and web 2.0 platform practices	Mick P. Couper, Don A. Dillman (early systematic frameworks)
Tips	Digital data collection technique	Quantitative / mixed-methods data collection technique
Pirmavots	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.
Citi nosaukumi	API data harvesting, API-driven data collection, programmatic data retrieval, API research data collection	web survey, internet survey, e-survey, computer-assisted web interviewing
Saistītās	5	6
Kopsavilkums	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.