ClinicalTrials.gov
Pricing
$0.01 / 1,000 clinical studies
ClinicalTrials.gov
Search ClinicalTrials.gov by words, condition, intervention, sponsor, location, status, or phase. Get study details, eligibility, sites, outcomes, dates, and source links.
ClinicalTrials.gov
Pricing
$0.01 / 1,000 clinical studies
Search ClinicalTrials.gov by words, condition, intervention, sponsor, location, status, or phase. Get study details, eligibility, sites, outcomes, dates, and source links.
You can access the ClinicalTrials.gov programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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You can leave this blank when you use another search field.", "default": "diabetes" }, "conditions": { "title": "Conditions", "uniqueItems": true, "type": "array", "description": "Find studies for any of these conditions or diseases.", "items": { "type": "string", "minLength": 1 } }, "interventions": { "title": "Interventions", "uniqueItems": true, "type": "array", "description": "Find studies for any of these drugs, devices, treatments, or other interventions.", "items": { "type": "string", "minLength": 1 } }, "sponsors": { "title": "Sponsors", "uniqueItems": true, "type": "array", "description": "Find studies linked to any of these sponsor names.", "items": { "type": "string", "minLength": 1 } }, "locations": { "title": "Locations", "uniqueItems": true, "type": "array", "description": "Find studies at any of these countries, states, cities, or facility names.", "items": { "type": "string", "minLength": 1 } }, "statuses": { "title": "Recruitment statuses", "uniqueItems": true, "type": "array", "description": "Keep studies with any selected recruitment status.", "items": { "type": "string", "enum": [ "NOT_YET_RECRUITING", "RECRUITING", "ENROLLING_BY_INVITATION", "ACTIVE_NOT_RECRUITING", "SUSPENDED", "TERMINATED", "COMPLETED", "WITHDRAWN", "UNKNOWN", "AVAILABLE", "NO_LONGER_AVAILABLE", "TEMPORARILY_NOT_AVAILABLE", "APPROVED_FOR_MARKETING" ], "enumTitles": [ "Not yet recruiting", "Recruiting", "Enrolling by invitation", "Active, not recruiting", "Suspended", "Terminated", "Completed", "Withdrawn", "Unknown", "Available", "No longer available", "Temporarily not available", "Approved for marketing" ] } }, "phases": { "title": "Phases", "uniqueItems": true, "type": "array", "description": "Keep studies in any selected clinical trial phase.", "items": { "type": "string", "enum": [ "EARLY_PHASE1", "PHASE1", "PHASE2", "PHASE3", "PHASE4", "NA" ], "enumTitles": [ "Early Phase 1", "Phase 1", "Phase 2", "Phase 3", "Phase 4", "Not applicable" ] } }, "studyTypes": { "title": "Study types", "uniqueItems": true, "type": "array", "description": "Keep studies with any selected study type.", "items": { "type": "string", "enum": [ "INTERVENTIONAL", "OBSERVATIONAL", "EXPANDED_ACCESS" ], "enumTitles": [ "Interventional", "Observational", "Expanded access" ] } }, "sort": { "title": "Sort by", "enum": [ "RELEVANCE", "POST_DATE_DESC", "UPDATE_DATE_DESC", "ENROLLMENT_DESC" ], "type": "string", "description": "Choose how to order matching studies.", "default": "RELEVANCE" }, "maxResults": { "title": "Maximum studies", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Set the most studies to deliver. A lower number makes a smaller run.", "default": 100 }, "nctId": { "title": "NCT ID", "pattern": "^NCT[0-9]{8}$", "type": "string", "description": "Enter the ClinicalTrials.gov ID for one study, such as NCT04280705." }, "__isDebug": { "title": "Debug mode", "type": "boolean", "description": "Internal debug setting." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for ClinicalTrials.gov from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
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