方法对比

	远程文档收集	Web Scraping
领域	调查方法论	调查方法论
方法族	Process / pipeline	Process / pipeline
起源年份	2000s–present (digital shift of traditional document collection)	Late 1990s–2000s
提出者	Rooted in classical document analysis (Bowen 2009; Scott 1990); remote modality formalized in digital humanities and qualitative online research from the 2000s onward	Early internet practitioners; systematised in research contexts from the late 1990s onward
类型	Qualitative / mixed-methods data collection technique	Automated digital data collection technique
开创性文献	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
别名	digital document retrieval, online archival collection, virtual document gathering, remote archival research	web harvesting, screen scraping, web crawling, automated data extraction
相关	5	5
摘要	Remote Document Collection is a data collection technique in which researchers gather written, visual, or multimedia documents from digital sources — online archives, institutional repositories, cloud storage, email, or government databases — without requiring physical presence. It extends classical document analysis into digital environments, enabling access to geographically dispersed or restricted materials and making it especially valuable for large-scale, cross-national, or time-sensitive research projects.	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.