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Multi-source API-based Data Collection

Multi-source API-based data collection is a systematic technique in which a researcher simultaneously or sequentially queries two or more application programming interfaces (APIs) to harvest digital data for a research project. By drawing from multiple platforms or services — such as social media APIs, government open-data portals, or scientific data repositories — researchers can build richer, more representative datasets than any single source permits. The method is especially prominent in computational social science, digital humanities, public health surveillance, and environmental monitoring.

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Multi-source Application Programming Interface-based Data Collection

Taksonoomiline meetodikirje · process-pipeline / survey-methodology

Ruths, D., & Pfeffer, J. (2014). Social media for large studies of behavior. Science, 346(6213), 1063–1064. · DOI 10.1126/science.346.6213.1063
Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. · ISBN 978-0691158648

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Taxonomic bucketAPI-based Data Collectionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-source Document Collectionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSensor Data Collectionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeb Scrapingmachine-suggested · Relational suggestion, not evidence.