Academic paper data for literature reviews
The Academic Papers dataset turns a topic, author, or venue into a structured table of research papers, with authors, venues, citation counts, DOIs, and abstracts on every row, sourced from open scholarly catalogs and refreshed on the schedule you set.
Why work with Academic Papers?
Literature reviews in minutes
Name a topic and ClickSet assembles the relevant papers with citations and abstracts already structured.
Track a field over time
Scheduled refreshes add new preprints and publications so the table keeps pace with the research.
Ready to feed a RAG pipeline
Read the structured table through one API to ground your models in real, cited research.
Powering Academic Papers
AI-powered web gathering
Describe a column or dataset and ClickSet backfills it from public web sources, with no scraper scripts to maintain.
Multi-source fusion
Combine multiple sources into one clean record with automated deduplication.
AI operations
Score, classify, extract, summarize, cluster, or detect anomalies and sentiment across rows.
Scheduled refresh
Hourly, daily, or weekly re-runs that keep data current.
API access
Every dataset is a live REST endpoint with per-key spend caps.
Who uses this?
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Frequently asked questions
Where do the papers come from? +
Open scholarly catalogs and preprint servers, gathered in research mode so each row links back to the paper or its landing page.
Can I scope it to one venue or author? +
Yes. Describe the topic, author, or venue you want and ClickSet builds the table around it.
How current is it? +
As current as your schedule. Set a daily or weekly refresh and ClickSet re-sources new papers each run.
Further reading
See how ClickSet handles your data workload
Describe the dataset you need, enrich it with hundreds of LLMs, and query the result through one API. Start on the free plan.