You can access the ClinicalTrials.gov Search: Trials by Condition, Drug, Location 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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        "properties": {
          "condition": {
            "title": "Condition / disease",
            "maxLength": 500,
            "type": "string",
            "description": "Condition or disease to search for, e.g. \"asthma\". Matched against the ClinicalTrials.gov query.cond parameter. Up to 500 characters."
          },
          "intervention": {
            "title": "Intervention / drug",
            "maxLength": 500,
            "type": "string",
            "description": "Intervention, drug or treatment name, e.g. \"metformin\". Matched against query.intr. Up to 500 characters."
          },
          "term": {
            "title": "Free-text search term",
            "maxLength": 500,
            "type": "string",
            "description": "General keyword search across title, summary, conditions and interventions. Matched against query.term. Up to 500 characters."
          },
          "location": {
            "title": "Location",
            "maxLength": 500,
            "type": "string",
            "description": "Country, state or city where the trial is conducted, e.g. \"France\". Matched against query.locn. Up to 500 characters."
          },
          "statuses": {
            "title": "Overall status filter",
            "type": "array",
            "description": "Only return studies with one of these overall statuses. Leave empty for all statuses.",
            "items": {
              "type": "string",
              "enum": [
                "RECRUITING",
                "ACTIVE_NOT_RECRUITING",
                "COMPLETED",
                "ENROLLING_BY_INVITATION",
                "NOT_YET_RECRUITING",
                "SUSPENDED",
                "TERMINATED",
                "WITHDRAWN",
                "AVAILABLE",
                "NO_LONGER_AVAILABLE",
                "TEMPORARILY_NOT_AVAILABLE",
                "APPROVED_FOR_MARKETING",
                "WITHHELD",
                "UNKNOWN"
              ]
            }
          },
          "nctIds": {
            "title": "NCT IDs",
            "type": "array",
            "description": "Fetch these specific studies directly by NCT ID (e.g. NCT06429475), ignoring condition/intervention/term/location/statuses filters. maxStudies does NOT apply to this list: up to 2000 IDs are fetched per run, duplicate IDs are fetched once, and any extras are dropped with a free TRUNCATED_NCT_IDS row naming them. If your spending limit stops the run, a free STOPPED_BY_CHARGE_LIMIT row says how many requested IDs were never processed.",
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              "type": "string"
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          },
          "maxStudies": {
            "title": "Max studies",
            "minimum": 1,
            "maximum": 2000,
            "type": "integer",
            "description": "Upper bound on distinct studies returned by a search (hard limit 2000). Ignored when nctIds is given. Every search row and the run stats report totalCount and truncated, so you can see how many studies matched in total, and truncated is also true if your spending limit stops the run early.",
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              "id": {
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              },
              "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": {
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                "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
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                    "example": 300
                  },
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                  },
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                    "example": 2048
                  }
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              "buildId": {
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              "defaultKeyValueStoreId": {
                "type": "string"
              },
              "defaultDatasetId": {
                "type": "string"
              },
              "defaultRequestQueueId": {
                "type": "string"
              },
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                "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": {
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                    "example": 0
                  },
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                    "example": 0
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                    "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
                  },
                  "PROXY_UNBLOCKER_UNITS": {
                    "type": "integer",
                    "example": 0
                  }
                }
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                "type": "number",
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              },
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                "type": "object",
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                    "example": 0
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                  "PROXY_SERPS": {
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                    "example": 0
                  },
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                    "type": "integer",
                    "example": 0
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ClinicalTrials.gov Search: Trials by Condition & Drug OpenAPI definition

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 Search: Trials by Condition, Drug, Location from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

ClinicalTrials.gov Search: Trials by Condition, Drug, Location API in Python

ClinicalTrials.gov Search: Trials by Condition, Drug, Location API in JavaScript

ClinicalTrials.gov Search: Trials by Condition, Drug, Location API through CLI

ClinicalTrials.gov Search: Trials by Condition, Drug, Location API

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ClinicalTrials.gov Scraper

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Clinical Trials Search — ClinicalTrials.gov API

scrupulous_waterbird_m4w/clinical-trials-gov

Clinical trials search over the public ClinicalTrials.gov v2 API. Filter by condition, drug, sponsor, phase, status, and location. Returns NCT IDs, phases, sponsors, locations, and summaries.

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Clinical Trial Landscape Monitor

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Turn business entity records into ranked, evidence-backed actionable business signals.

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ClinicalTrials.gov Scraper

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Scrape clinical trials from ClinicalTrials.gov. Search by condition, drug, sponsor, phase, status. Extract NCT IDs, sponsors, enrollment, eligibility, outcomes, locations. No API key needed. For pharma, biotech, VCs, researchers.

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Clinical Trials Monitor

zinin/clinical-trials-monitor

Retrieve up to 100 ClinicalTrials.gov studies for up to 25 condition, drug, or sponsor queries. Delivered rows include NCT ID, status, phase, sponsor, dates, source link, confidence, gaps, and billing. No-match and failure rows are free; registry data is not medical advice or proof of efficacy.