{ "openapi": "3.0.1", "info": { "title": "Researcher Email Finder: PubMed Authors by Topic", "description": "Find researchers by topic with the email they published in PubMed papers, plus affiliation, ORCID and recent papers. $0.005 per researcher with email. Corresponding-author emails for life-science sales, CROs, recruiters and AI agents.", "version": "0.1", "x-build-id": "n50d0mLVe6JaCOORk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/datagleaner~researcher-email-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-datagleaner-researcher-email-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/datagleaner~researcher-email-finder/runs": { "post": { "operationId": "runs-sync-datagleaner-researcher-email-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/datagleaner~researcher-email-finder/run-sync": { "post": { "operationId": "run-sync-datagleaner-researcher-email-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "queries": { "title": "Topics", "type": "array", "description": "Research topics to find researchers for, one per line, e.g. `crispr base editing` or `car-t solid tumors`. PubMed query syntax works: `\"base editing\"[tiab] AND mice`. Each topic is searched separately. Leave this and the other sources empty to run a 5-researcher example.", "items": { "type": "string" } }, "authorNames": { "title": "Author names", "type": "array", "description": "Find a named researcher's published email: `Jennifer Doudna`, `Doudna JA` or `Doudna, Jennifer`. Only that author is returned from their papers.", "items": { "type": "string" } }, "pmids": { "title": "PubMed IDs", "type": "array", "description": "Specific papers by PMID, e.g. `42850393`. Every author of these papers who printed an email is returned.", "items": { "type": "string" } }, "dois": { "title": "DOIs", "type": "array", "description": "Specific papers by DOI, e.g. `10.1038/s41551-026-01747-y` or a doi.org link.", "items": { "type": "string" } }, "yearFrom": { "title": "Published from year", "minimum": 1950, "maximum": 2100, "type": "integer", "description": "Only scan papers published in this year or later, so you reach researchers who are active now. Applies to topics and author names." }, "affiliationContains": { "title": "Affiliation contains", "type": "string", "description": "Keep only researchers whose affiliation includes this text, e.g. `Harvard`, `Karolinska` or `Hospital`. Case-insensitive." }, "countries": { "title": "Countries", "type": "array", "description": "Keep only researchers whose affiliation is in one of these countries, by name or ISO code: `United States`, `DE`, `UK`, `China`.", "items": { "type": "string" } }, "onlyWithEmail": { "title": "Only researchers with an email", "type": "boolean", "description": "On (default): return only researchers who published an email, the billed result. Off: also return co-authors without an email, free of charge, which can be many rows.", "default": true }, "maxResearchers": { "title": "Max researchers", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Stop after this many researchers across all topics. Results are spread evenly over the topics.", "default": 50 }, "maxPapersScanned": { "title": "Max papers scanned per search", "minimum": 1, "maximum": 10000, "type": "integer", "description": "How many of the most relevant papers to read per topic or author. Roughly one paper in two to three yields a published email.", "default": 500 }, "source": { "title": "Source", "enum": [ "pubmed", "europepmc" ], "type": "string", "description": "PubMed returns the most published emails. Europe PMC carries ORCID iDs for more authors and covers preprints, but prints fewer emails.", "default": "pubmed" }, "delayMs": { "title": "Pacing (milliseconds)", "minimum": 340, "maximum": 10000, "type": "integer", "description": "Minimum pause between requests. NCBI allows about 3 requests a second without an API key, so it stays at 340 ms or more.", "default": 400 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional. 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