Comparar métodos

	Web Scraping	Coleta de Documentos
Área	Metodologia de survey	Metodologia de survey
Família	Process / pipeline	Process / pipeline
Ano de origem	Late 1990s–2000s	19th–20th century historical methods; contemporary social-science codification c. 2000s
Autor original	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
Tipo	Automated digital data collection technique	Qualitative / mixed data-collection technique
Fonte seminal	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.
Outros nomes	web harvesting, screen scraping, web crawling, automated data extraction	document analysis, documentary method, document review, secondary document analysis
Relacionados	5	3
Resumo	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.