เปรียบเทียบวิธี

	การเก็บข้อมูลผ่าน API ที่ผ่านการทดสอบนำร่อง	การเก็บข้อมูลผ่าน Mobile API
สาขาวิชา	ระเบียบวิธีสำรวจ	ระเบียบวิธีสำรวจ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	2000s–2010s	2007–2010 (mainstream smartphone era)
ผู้ริเริ่ม	Convergence of survey pilot-testing tradition (Presser et al., 2004) and computational social science API methods (Salganik, 2018)	Emerged from mobile computing and REST/web API proliferation (Fielding, 2000; widespread adoption ~2007–2010 with smartphone ecosystem)
ประเภท	Applied data-collection variant	Digital data collection technique
แหล่งต้นตำรับ	Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 978-0691158648	Luce, M. F., Kahn, B. E., & Malhotra, N. K. (2016). Capturing consumer experiences with mobile research methods. Journal of Consumer Research, 42(6), 949–965.
ชื่อเรียกอื่น	pilot API data collection, pre-tested API harvesting, API data collection pilot study, pilot-validated API scraping	mobile API data collection, smartphone API data harvesting, mobile app API research data collection, API-driven mobile data collection
ที่เกี่ยวข้อง	4	6
สรุป	Pilot-tested API-based data collection is a structured digital data-gathering approach in which a researcher designs an API query or harvesting script and then runs a small-scale trial before executing the full collection. The pilot phase exposes authentication issues, rate-limit constraints, schema inconsistencies, and coverage gaps, enabling targeted refinements that protect the integrity and completeness of the final dataset. It bridges the software-engineering practice of integration testing with the social-science tradition of instrument pre-testing.	Mobile API-based data collection uses mobile devices (smartphones, tablets) to query application programming interfaces — structured web endpoints that return machine-readable data — enabling researchers to gather behavioral, contextual, sensor-enriched, or platform-generated data in real time from participants in their natural environments. It combines the ubiquity of mobile hardware with the scalability and standardization of RESTful or GraphQL APIs.