Сравнение методов

	Сбор документов онлайн	Веб-скрейпинг
Область	Методология опросов	Методология опросов
Семейство	Process / pipeline	Process / pipeline
Год появления	1990s–2000s (digital / web era)	Late 1990s–2000s
Автор метода	Adapted from traditional document analysis; digital form emerged with widespread internet adoption	Early internet practitioners; systematised in research contexts from the late 1990s onward
Тип	Qualitative / mixed-methods data collection technique	Automated digital data collection technique
Основополагающий источник	Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40.	Mitchell, R. (2018). Web Scraping with Python: Collecting More Data from the Modern Web (2nd ed.). O'Reilly Media. ISBN: 978-1491985571
Другие названия	digital document collection, web document gathering, online archival data collection, digital records collection	web harvesting, screen scraping, web crawling, automated data extraction
Связанные	5	5
Сводка	Online document collection is the systematic process of identifying, retrieving, and compiling digital documents — including web pages, institutional publications, social media posts, policy documents, and digital archives — as primary or supplementary research data. It extends classical document analysis into internet-mediated environments, enabling researchers to access large, geographically dispersed corpora without fieldwork travel or physical archive access.	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.