Semantic Scholar API
by Allen Institute for AI
Academic graph API for papers, authors, citations, references and recommendations across scientific fields.
- Category
- Public & Market Data
- Type
- Research & science
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- None, API key
02Data
What you can sync.
- Papers
- Authors
- Citations
- Recommendations
Load Semantic Scholar API papers on a schedule and keep every release in your Lake for trends over time.
Need more? Name any other Semantic Scholar API data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- No credentials
- An API key
Public endpoints answer without credentials; for the rest, Semantic Scholar API uses an API key.
04How it works
How it works in DataMind.
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Pick Semantic Scholar API.
Open Lake, pick Semantic Scholar API in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Semantic Scholar API docs.
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Answer a few questions.
The AI reads the Semantic Scholar API documentation, then asks which credentials you will use, which data to sync (for example papers and authors), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Semantic Scholar API data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
