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API数据收集 — 程序化研究数据检索

API数据收集是一种系统性技术,研究人员通过该技术向应用程序编程接口发送结构化请求,以自动从数字平台、数据库或服务中检索数据。这是计算社会科学中用于收集大规模社交媒体记录、政府开放数据、金融数据流和科学存储库内容的主要方法,以机器可读格式(如JSON或XML)进行,从而实现手动收集无法比拟的可复现和可扩展的数据采集。

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来源

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

如何引用本页

ScholarGate. (2026, June 3). Application Programming Interface-based Data Collection. ScholarGate. https://scholargate.app/zh/survey-methodology/api-based-data-collection

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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被引用于

ScholarGateAPI-based Data Collection (Application Programming Interface-based Data Collection). 于 2026-06-15 检索自 https://scholargate.app/zh/survey-methodology/api-based-data-collection · 数据集: https://doi.org/10.5281/zenodo.20539026