{ "openapi": "3.0.1", "info": { "title": "Crossref Scraper — 150M+ Papers, DOIs & Citations", "description": "Search Crossref for journal articles, preprints, book chapters and datasets by keyword or journal ISSN. Each row holds the DOI, title, authors, journal, publisher, type, publication date and citation count, plus subjects, ISSN and abstract where the publisher deposited them. $1.00 per 1,000 works.", "version": "0.1", "x-build-id": "RFdKADg4PREKopjgV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dami_studio~crossref-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dami_studio-crossref-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/dami_studio~crossref-scraper/runs": { "post": { "operationId": "runs-sync-dami_studio-crossref-scraper", "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/dami_studio~crossref-scraper/run-sync": { "post": { "operationId": "run-sync-dami_studio-crossref-scraper", "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": { "query": { "title": "Search query", "type": "string", "description": "Keywords to search Crossref for across titles, authors, abstracts, and metadata (e.g. \"deep learning\", \"CRISPR gene editing\", \"climate change adaptation\"). It can be left empty only when you give a journal ISSN below." }, "fromDate": { "title": "Published from date", "type": "string", "description": "Only return works published on or after this date, in YYYY-MM-DD format (e.g. 2020-01-01). Leave empty for no date floor.", "default": "" }, "filterType": { "title": "Work type filter", "enum": [ "", "journal-article", "proceedings-article", "book-chapter", "book", "posted-content", "dataset", "report", "dissertation", "monograph" ], "type": "string", "description": "Only return works of this Crossref type. Leave empty for all types. \"journal-article\" is the most common for research papers.", "default": "" }, "issn": { "title": "Journal ISSN", "maxItems": 50, "type": "array", "description": "Only works from these journals, by ISSN, such as 2169-3536. Give several and you get works from any of them. 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