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	Długoterminowe web scraping	Badanie podłużne
Dziedzina	Metodologia badań sondażowych	Metodologia badań sondażowych
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	2000s–2010s	1940s (panel survey tradition); longitudinal designs codified mid-20th century
Twórca	Emergent practice in computational social science; formalized across internet research community	Established tradition; formalized in social science by Paul Lazarsfeld and colleagues (1940s panel studies)
Typ	Automated longitudinal data collection	Quantitative / mixed-methods survey design
Źródło pierwotne	Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 978-0691158648	Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922292
Inne nazwy	repeated web scraping, time-series web data collection, longitudinal crawling, panel web scraping	panel survey, repeated-measures survey, longitudinal panel study, wave survey
Pokrewne	5	3
Podsumowanie	Longitudinal web scraping is a data collection technique that uses automated scripts to extract content from websites at multiple, predefined time points. By revisiting the same web sources repeatedly, researchers build a time-series dataset that captures how online content, prices, discourse, or behavior evolves. It is widely used in computational social science, economics, political science, health research, and digital humanities to study change without relying on retrospective self-report.	A longitudinal survey collects structured questionnaire data from the same individuals or units at two or more distinct points in time. By tracking the same respondents across waves, researchers can distinguish genuine change from stable individual differences, establish temporal ordering between variables, and model trajectories of attitudes, behaviors, or outcomes in ways that a single cross-sectional snapshot cannot support.