Semantic Scholar Integration — Automate Semantic Scholar with AI on Beauto

What you can automate with Semantic Scholar

Beauto connects Semantic Scholar with 900+ other apps so you can build AI-powered workflows in minutes. Trigger automations from Semantic Scholar events, enrich Semantic Scholar data with AI, or sync Semantic Scholar with the rest of your stack — without writing code.

• Sync Semantic Scholar data with Gmail, Slack, Notion, HubSpot, Google Sheets, and more
• Trigger AI agents on new Semantic Scholar events and route the output anywhere
• Schedule recurring Semantic Scholar tasks — daily reports, cleanups, or bulk updates
• Use natural language to describe the workflow; Beauto builds it for you

Semantic Scholar actions Beauto supports

• Details about an author — Retrieve detailed information about an author from Semantic Scholar, including name, affiliations, publication statistics (paperCount, citationCount, h-index), external IDs (ORCID, DBLP), and optionally papers. By defaul
• Details about an author s papers — Retrieves a list of papers authored or co-authored by a specific researcher identified by their unique Semantic Scholar author ID. This endpoint is particularly useful for conducting literature reviews, analyzing an auth
• Details about a paper — Examples: <ul> <li><code>https://api.semanticscholar.org/graph/v1/paper/649def34f8be52c8b66281af98ae884c09aef38b</code></li> <ul> <li>Returns a paper with its paperId and title. </li> </ul> <li><code>https://api.semantic
• Details about a paper s authors — Retrieves the list of authors for a specific paper identified by its unique paper_id in the Semantic Scholar database. This endpoint returns detailed author information including authorId and name (returned by default),
• Details about a paper s citations — Retrieves a list of citations for a specific academic paper using its unique Semantic Scholar paper ID. This endpoint is useful for researchers and developers who want to explore the impact and connections of a particula
• Details about a paper s references — Retrieves the list of references cited by a specific paper in the Semantic Scholar database. This endpoint allows users to explore the scholarly context of a publication by accessing its bibliography. It's particularly u
• Get dataset download links — Tool to get download links for a specific dataset within a release. Use when you need to download Semantic Scholar dataset files from S3. Returns pre-signed URLs for all dataset partitions.
• Get dataset diffs — Get download links for incremental diffs between dataset releases. Returns a list of diffs required to update a dataset from start_release to end_release, enabling efficient dataset synchronization. Use when you need to
• Get details for multiple authors at once — Retrieves detailed information for multiple authors from Semantic Scholar in a single API call. This endpoint allows users to efficiently fetch data for a batch of authors by providing their unique Semantic Scholar IDs.
• Get details for multiple papers at once — Retrieve detailed information for multiple academic papers in a single API call using the Semantic Scholar paper batch endpoint. This endpoint efficiently fetches data for up to 500 papers at once, significantly reducing
• Get paper recommendations — Tool to get paper recommendations based on positive and negative example papers. Use when you need to find papers similar to ones you like (positive examples) and optionally dissimilar to ones you don't like (negative ex
• Get recommendations for paper — Tool to get recommended papers for a single positive example paper. Use when you need to find papers similar to a given paper based on Semantic Scholar's recommendation algorithm.
• Get dataset release information — Tool to retrieve metadata for a specific Semantic Scholar dataset release. Returns release information including available datasets with their descriptions. Use when you need to discover what datasets are available in a
• List available dataset releases — Tool to list all available dataset releases from Semantic Scholar. Use when you need to discover available release dates for downloading datasets.
• Paper title search — Behaves similarly to <code>/paper/search</code>, but is intended for retrieval of a single paper based on closest title match to given query. Examples: <ul> <li><code>https://api.semanticscholar.org/graph/v1/paper/search
• Search Bulk Papers — Tool to perform bulk search for academic papers. Intended for bulk retrieval of basic paper data without search relevance scoring. Use when you need to retrieve large sets of papers with optional text filtering and vario
• Search for authors by name — Search for academic authors in the Semantic Scholar database by name. This action searches for authors using plain-text name queries. The search is case-insensitive and supports partial name matches (e.g., \
• Search papers by relevance — Tool to search for academic papers by relevance in the Semantic Scholar database. Use when searching for papers on specific topics, keywords, or research areas. Returns papers ordered by relevance score with support for
• Suggest paper query completions — Get autocomplete suggestions for paper queries. Returns a list of papers matching the partial query string, useful for interactive search experiences. Each suggestion includes the paper ID, title, and authors with public
• Text snippet search — Search for text snippets (~500 words) within academic papers that match your natural language query. Returns relevant excerpts from papers' titles, abstracts, and body text, ranked by relevance score. Each result include

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Get started with Semantic Scholar on Beauto

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