So sánh phương pháp

	Web Scraping	Thu thập tài liệu
Lĩnh vực	Phương pháp luận khảo sát	Phương pháp luận khảo sát
Họ	Process / pipeline	Process / pipeline
Năm ra đời	Late 1990s–2000s	19th–20th century historical methods; contemporary social-science codification c. 2000s
Người khởi xướng	Early internet practitioners; systematised in research contexts from the late 1990s onward	Rooted in historical and social science traditions; systematized by Lindsay Prior and Glenn Bowen
Loại	Automated digital data collection technique	Qualitative / mixed data-collection technique
Công trình gốc	Mitchell, R. (2018). Web Scraping with Python: Collecting More Data from the Modern Web (2nd ed.). O'Reilly Media. ISBN: 978-1491985571	Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40.
Tên gọi khác	web harvesting, screen scraping, web crawling, automated data extraction	document analysis, documentary method, document review, secondary document analysis
Liên quan	5	3
Tóm tắt	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.	Document collection is a systematic data-collection technique in which the researcher gathers and reviews existing written, visual, or digital records — such as reports, meeting minutes, policies, letters, photographs, or institutional records — as primary or supplementary evidence. It is widely used in qualitative, historical, and mixed-methods research and can stand alone or complement interviews and observation.