Partners

Providing a reliable source of scholarly data for developers

Build projects that accelerate scientific progress with the Semantic Scholar API

Illustration: Two hands exchanging Information
illustration: a decorative representation of our research

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.

Projects

Here are a few of the projects powered by the Semantic Scholar API.

Connected Papers WebsiteConnected Papers

A visual tool to help researchers and applied scientists find academic papers relevant to their field of work

AI2-THOR Publications WebsiteAI2-THOR Publications Page

Publications created with AI2-THOR

Covipedia WebsiteCovipedia

A store of articles and clinical trials related to COVID-19

Documentation

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.

Authentication

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.

API Methods

Lightweight programmatic access to paper and author data. If you're interested in large amounts of our data, see our freely available, downloadable archive.

Paper Lookup

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
URLs within the domain of Semantic Scholar can also be used to look up paper information

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:

?include_unknown_references=true
Note that paperId and url will be empty for unknown references.

Examples

Author Lookup

https://api.semanticscholar.org/v1/author/[S2AuthorId]

Look up information about an author in Semantic Scholar. Returns a JSON structure describing the author.

Example

Browser Redirect

https://api.semanticscholar.org/[Paper Identifier]

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:

Additional Resources

In addition to the Semantic Scholar API, we provide the following datasets as free and open resources:

SUPP.AI LogoSUPP.AI

An AI-curated corpus of supplements, drugs, and interactions

CORD19 LogoCORD-19

A corpus of academic papers about COVID-19 and related coronavirus research

S2S2ORC

A general purpose corpus for NLP and text mining research over scientific papers

Contact Our Partner Team

Experience a smarter way to search and discover scholarly research.

Create Your Account

Latest News & Updates

S2AND: An Improved Author Disambiguation System for Semantic Scholar

S2AND: An Improved Author Disambiguation System for Semantic Scholar

The challenge of author name disambiguation is one of identity: given a set of all papers, who wrote which ones?

By Daniel King & Sergey Feldman, Applied Research Scientists
By Daniel King & Sergey Feldman, Applied Research Scientists
Conference Peer Review with the Semantic Scholar API

Conference Peer Review with the Semantic Scholar API

We are excited to release the first version of our new service specifically for peer review as part of the Semantic Scholar API.

By Rodney Kinney, Principal Engineer
By Rodney Kinney, Principal Engineer
SciA11y — improving the accessibility of scientific documents (2 of 2)

SciA11y — improving the accessibility of scientific documents (2 of 2)

Let’s dive deeper into some of the challenges faced by blind and low vision (BLV) readers in this domain, and introduce a system we created that attempts to address some of these challenges.

By Lucy Lu Wang, Post-doctoral Investigator
By Lucy Lu Wang, Post-doctoral Investigator