Providing a reliable source of scholarly data for developers
Build projects that accelerate scientific progress with the Semantic Scholar API
Driven by State-of-the-Art AI Research
We provide the RESTful Semantic Scholar API as a service to the global research community. The API is a reliable on-demand source of data about authors, papers, citations, venues, and more that allows you to link directly to the corresponding page on semanticscholar.org for more information.
Driven by state-of-the-art AI models developed by our Research team, the Semantic Scholar API powers applications that enable scientific discovery. Currently the API supports Paper and Author Lookup, Conflict of Interest detection, Conference Reviewer Match, SPECTER embeddings, and SUPP.AI annotations. We are actively developing new features based on user demand.
Reference documentation is available here for the Semantic Scholar API. Documentation for our Conference Peer Review service is available here.
Here are a few of the projects powered by the Semantic Scholar API.
Reference documentation is available below for the Semantic Scholar API. Documentation for our Conference Peer Review service is available here.
Use of the API is subject to our dataset license agreement. When publicly displaying data from this API, please incorporate the Semantic Scholar name and logo and point back to Semantic Scholar at https://www.semanticscholar.org/ with a utm_source=api UTM parameter.
You can use the Semantic Scholar API endpoint up to 100 requests per 5 minutes to test your application idea. To access a higher rate limit, complete the form to request authentication for your project. Authenticated partners have access to higher rate limits, personalized support, and co-marketing opportunities.
Lightweight programmatic access to paper and author data. If you're interested in large amounts of our data, see our freely available, downloadable archive.
https://api.semanticscholar.org/v1/paper/[Paper Identifier or URL]
Look up information about a paper in Semantic Scholar. Returns a JSON structure describing the paper.
Accessible Paper Identifiers and Examples
- S2 Paper IDhttps://api.semanticscholar.org/v1/paper/0796f6cd7f0403a854d67d525e9b32af3b277331
- ArXiv IDhttps://api.semanticscholar.org/v1/paper/arXiv:1705.10311
- ACL IDhttps://api.semanticscholar.org/v1/paper/ACL:W12-3903
- PubMed IDhttps://api.semanticscholar.org/v1/paper/PMID:19872477
- Corpus IDhttps://api.semanticscholar.org/v1/paper/CorpusID:37220927
URLs within the domain of Semantic Scholar can also be used to look up paper information
- S2 Paper Detail URLhttps://api.semanticscholar.org/v1/paper/URL:https://www.semanticscholar.org/paper/Fabricating-genetically-engineered-high-power-using-Lee-Yi/6a84672aa6a3ee40ab3e14a7f3007e23255f16be
- S2 PDF URLhttps://api.semanticscholar.org/v1/paper/URL:https://pdfs.semanticscholar.org/c403/68269509396fe3fba7f2507b45a9c60762e1.pdf?_ga=2.153447803.294238615.1582062427-170563102.1580927705
- S2 Figure URLhttps://api.semanticscholar.org/v1/paper/URL:https://www.semanticscholar.org/paper/Structured-labeling-for-facilitating-concept-in-Kulesza-Amershi/c8ffe876bfbe85231b236a9af35ad7a2d2ccfcef/figure/0
By default, references from the paper will not be included if we do not have the referenced paper. To retrieve extracted references anyways, include this query param:
Note that paperId and url will be empty for unknown references.
Look up information about an author in Semantic Scholar. Returns a JSON structure describing the author.
You can easily link to Semantic Scholar pages without calling the API. Simply create a link with the ID you have and we will redirect the user's browser to the appropriate page.
Accessible Paper Identifiers and Examples:
- S2 Paper IDhttps://api.semanticscholar.org/0796f6cd7f0403a854d67d525e9b32af3b277331
- ArXiv IDhttps://api.semanticscholar.org/arXiv:1705.10311
- MAG IDhttps://api.semanticscholar.org/MAG:112218234
- ACL IDhttps://api.semanticscholar.org/ACL:W12-3903
- PubMed IDhttps://api.semanticscholar.org/PMID:19872477
- Corpus IDhttps://api.semanticscholar.org/CorpusID:37220927
In addition to the Semantic Scholar API, we provide the following datasets as free and open resources: