Сравнение методов

	Сбор данных через API	Сбор документов
Область	Методология опросов	Методология опросов
Семейство	Process / pipeline	Process / pipeline
Год появления	2000s–2010s (formalized as a research method)	19th–20th century historical methods; contemporary social-science codification c. 2000s
Автор метода	Emerged from computational social science and web 2.0 platform practices	Rooted in historical and social science traditions; systematized by Lindsay Prior and Glenn Bowen
Тип	Digital data collection technique	Qualitative / mixed data-collection technique
Основополагающий источник	Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 9780691158648	Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40.
Другие названия	API data harvesting, API-driven data collection, programmatic data retrieval, API research data collection	document analysis, documentary method, document review, secondary document analysis
Связанные	5	3
Сводка	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.	Document collection is a systematic data-collection technique in which the researcher gathers and reviews existing written, visual, or digital records — such as reports, meeting minutes, policies, letters, photographs, or institutional records — as primary or supplementary evidence. It is widely used in qualitative, historical, and mixed-methods research and can stand alone or complement interviews and observation.