Semantic Scholar Releases New Recommendations API
Introducing a new public service that can recommend recently published papers or preprints to researchers based on a learned model of their topical interests.
Providing a reliable source of scholarly data for developers
Build projects that accelerate scientific progress with the Semantic Scholar Academic Graph API
The Semantic Scholar REST API allows you to find and explore scientific publication data about authors, papers, citations, venues, and more. The API is organized into the following services:
We are actively developing new features based on user demand. To learn more about our API service, read The Semantic Scholar Open Data Platform paper. To get the latest news and updates, subscribe to our API newsletter.
Get StartedSemantic Scholar providing infrastructure for the research ecosystem is exciting as it enables partners like Litmaps to focus on creating great experiences for end users. We found the Semantic Scholar API and bulk data, clear and straightforward to use. The documentation, examples, and easy access to the raw data allowed us to move quickly on data integration, and get back to solving problems for our users.
Axton PittCo-founder and CTO, Litmaps
Eddie SmolyanskyCo-founder, Connected Papers
Since day 1 Connected Papers has been built on top of the Semantic Scholar Open Corpus and APIs, and heavily relies on them to provide paper discovery and search capabilities to our users. The APIs are well maintained, frequently updated, fast, and easy to use. The team is extremely responsive and has supported our growth every step of the way from open beta to a million users. This massive resource given to the public for free is a great driver for innovation in science and we are proud to be a part of the next layer of tools being built on top of it.
We are a startup that tracks the evolution and progress of AI research. Thanks to the Semantic Scholar API pulling in the latest references to papers from top AI conferences has been a really simple task. Otherwise, it would have taken much more time and effort.
Eduardo Antonio Espinosa GrimaldoFounder, Stateoftheart AI
We at Sourcely have migrated to the Semantic Scholar API to provide academic references to students writing their essays, and our experience working with academic references APIs has never been better. Not only is the Semantic Scholar API very easy to use, quick, and reliable, but it also incorporates a lot of additional metadata like PDF URLs, abstract, summarization, and more, that are not easily accessible with other academic reference providers like Google Scholar. Students love the references provided by Semantic Scholar API and their experience on Sourcely has improved since migration. On top of that, the Semantic Scholar team has been very helpful in answering our questions and considering our feedback.
Most Semantic Scholar endpoints are available to the public without authentication, but they are rate-limited to 1000 requests per second shared among all unauthenticated users. Requests may also be further throttled during periods of heavy use.
Certain endpoints require authentication via an API key, and authenticated users have access to higher rate limits. As a best practice, we recommend including your API key with every request. Using an API key will also help us better support you when you need additional help.
The introductory rate limit for an API key is 1 RPS on all endpoints. If you find yourself needing a higher rate limit, please contact us.
You will receive your private API key via email. Do not share your key with anyone.
We also provide the following datasets as free and open resources.