Method evidence record

API-based Data Collection

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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Application Programming Interface-based Data Collection

Taxonomic method record · process-pipeline / survey-methodology

Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. · ISBN 9780691158648
Ruths, D., & Pfeffer, J. (2014). Social media for large studies of behavior. Science, 346(6213), 1063–1064. · DOI 10.1126/science.346.6213.1063

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketDocument Collectionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMobile Experience Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketOnline Surveymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSensor Data Collectionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeb Scrapingmachine-suggested · Relational suggestion, not evidence.