विधियों की तुलना करें

	दूरस्थ वेब स्क्रैपिंग	एपीआई-आधारित डेटा संग्रह
क्षेत्र	सर्वेक्षण पद्धति	सर्वेक्षण पद्धति
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	2000s–2010s (cloud infrastructure era)	2000s–2010s (formalized as a research method)
प्रवर्तक	Distributed computing and web automation communities	Emerged from computational social science and web 2.0 platform practices
प्रकार	Automated remote data collection technique	Digital data collection technique
मौलिक स्रोत	Mitchell, R. (2018). Web Scraping with Python: Collecting More Data from the Modern Web (2nd ed.). O'Reilly Media. ISBN: 978-1491985571	Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 9780691158648
उपनाम	cloud web scraping, server-side scraping, remote automated data extraction, distributed web scraping	API data harvesting, API-driven data collection, programmatic data retrieval, API research data collection
संबंधित	3	5
सारांश	Remote web scraping is a data collection approach in which automated scripts or bots harvest publicly accessible web content — text, tables, metadata, or links — running on remote servers or cloud infrastructure rather than on the researcher's local machine. This separation allows continuous, large-scale, or geographically distributed crawling that local setups cannot sustain, making it particularly suited to longitudinal or high-volume data collection tasks.	API-based data collection is a systematic technique in which a researcher sends structured requests to an application programming interface to retrieve data automatically from digital platforms, databases, or services. It is the primary method used in computational social science to gather large-scale social media records, government open data, financial data streams, and scientific repository content in machine-readable formats such as JSON or XML, enabling reproducible and scalable data acquisition that manual collection cannot match.