Data for Scholarly Research

Academic research on internet phenomena requires large-scale, well-documented datasets that would be impractical for individual research teams to collect. WebRefer provides academic access to comprehensive web data, supporting research in computer science, information systems, economics, and related fields.

Research Applications

Internet Infrastructure Studies: Domain intelligence and DNS data support research on internet architecture, governance, and evolution.

Digital Economy Research: Technology adoption data enables studies of platform economics, technology diffusion, and market dynamics.

ML/AI Research: Training datasets and labeled data support machine learning research requiring web-scale data.

Computational Social Science: Web content and structure data enables research on online behavior, information diffusion, and digital society.

Academic Pricing

We offer academic pricing for qualified research institutions. Contact us with your institutional affiliation and research requirements to discuss academic access options.

Support Your Research

Discuss academic access to web datasets for your research.

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