방법 비교

	모바일 API 기반 데이터 수집	웹 스크래핑
분야	조사방법론	조사방법론
계열	Process / pipeline	Process / pipeline
기원 연도	2007–2010 (mainstream smartphone era)	Late 1990s–2000s
창시자	Emerged from mobile computing and REST/web API proliferation (Fielding, 2000; widespread adoption ~2007–2010 with smartphone ecosystem)	Early internet practitioners; systematised in research contexts from the late 1990s onward
유형	Digital data collection technique	Automated digital data collection technique
원전	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.	Mitchell, R. (2018). Web Scraping with Python: Collecting More Data from the Modern Web (2nd ed.). O'Reilly Media. ISBN: 978-1491985571
별칭	mobile API data collection, smartphone API data harvesting, mobile app API research data collection, API-driven mobile data collection	web harvesting, screen scraping, web crawling, automated data extraction
관련	6	5
요약	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.	Web scraping is a computational data collection technique in which software automatically retrieves and extracts structured or semi-structured content from websites. Widely used in social science, computational linguistics, economics, and information science, it enables researchers to assemble large datasets from publicly accessible web sources — such as news archives, social media platforms, government portals, and online marketplaces — that would be impractical to collect manually.