# ClinicalTrials.gov — Clinical Study Search (`commonelements/clinicaltrials-search`) Actor Search ClinicalTrials.gov for clinical studies by condition, intervention, sponsor, status, and location. Returns study design, eligibility, contact information, and enrollment data. No API key required. - **URL**: https://apify.com/commonelements/clinicaltrials-search.md - **Developed by:** [Harry Schoeller](https://apify.com/commonelements) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 1,000 dataset item scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## ClinicalTrials.gov — Clinical Study Search Search and download clinical study records from ClinicalTrials.gov using the official v2 REST API. Covers 450,000+ studies worldwide. ### Example input — recruiting diabetes trials ```json { "condition": "type 2 diabetes", "overallStatus": ["RECRUITING"], "phase": ["PHASE3"], "maxRecords": 100 } ```` ### Example input — company-sponsored trials ```json { "sponsor": "Pfizer", "overallStatus": ["RECRUITING", "ACTIVE_NOT_RECRUITING"], "maxRecords": 500 } ``` ### Example output record ```json { "nctId": "NCT05123456", "briefTitle": "A Study of Drug X in Patients With Type 2 Diabetes", "overallStatus": "RECRUITING", "studyType": "INTERVENTIONAL", "phases": ["PHASE3"], "conditions": ["Type 2 Diabetes Mellitus"], "interventions": [{"type": "DRUG", "name": "Drug X 10mg"}], "primarySponsor": "Pfizer Inc.", "startDate": "2023-06-01", "completionDate": "2025-12-31", "enrollment": 450, "eligibilityCriteria": "Inclusion Criteria: 18-75 years old...", "sex": "ALL", "minimumAge": "18 Years", "locations": [{"facility": "University Medical Center", "city": "Boston", "state": "Massachusetts", "country": "United States"}], "fetchedAt": "2025-01-01T00:00:00.000Z" } ``` ### Use cases - Pharmaceutical competitive intelligence - Patient recruitment and trial matching - Drug pipeline analysis - Academic and regulatory research - CRO and site feasibility analysis # Actor input Schema ## `searchTerm` (type: `string`): General keyword query applied across all study fields (title, summary, conditions, interventions, etc.). Example: 'breast cancer immunotherapy'. ## `condition` (type: `string`): Filter by condition or disease name. Supports MeSH terms and free text. Example: 'diabetes', 'Alzheimer disease', 'COVID-19'. ## `intervention` (type: `string`): Filter by intervention or drug name. Example: 'metformin', 'pembrolizumab', 'cognitive behavioral therapy'. ## `sponsor` (type: `string`): Filter by sponsor or collaborator name. Example: 'Pfizer', 'National Cancer Institute', 'Mayo Clinic'. ## `overallStatus` (type: `array`): Filter by one or more trial statuses. Leave empty to include all statuses. ## `phase` (type: `array`): Filter by trial phase. Leave empty to include all phases. ## `maxRecords` (type: `integer`): Maximum number of studies to return. The API allows up to 1000 per page and will paginate automatically. Set to 0 for unlimited. ## Actor input object example ```json { "searchTerm": "breast cancer immunotherapy", "condition": "diabetes", "intervention": "metformin", "sponsor": "National Cancer Institute", "overallStatus": [], "phase": [], "maxRecords": 100 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("commonelements/clinicaltrials-search").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("commonelements/clinicaltrials-search").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call commonelements/clinicaltrials-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=commonelements/clinicaltrials-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ClinicalTrials.gov — Clinical Study Search", "description": "Search ClinicalTrials.gov for clinical studies by condition, intervention, sponsor, status, and location. Returns study design, eligibility, contact information, and enrollment data. No API key required.", "version": "0.1", "x-build-id": "svod4vBIoZ5KavJSh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/commonelements~clinicaltrials-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-commonelements-clinicaltrials-search", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/commonelements~clinicaltrials-search/runs": { "post": { "operationId": "runs-sync-commonelements-clinicaltrials-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/commonelements~clinicaltrials-search/run-sync": { "post": { "operationId": "run-sync-commonelements-clinicaltrials-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchTerm": { "title": "Search term", "type": "string", "description": "General keyword query applied across all study fields (title, summary, conditions, interventions, etc.). Example: 'breast cancer immunotherapy'." }, "condition": { "title": "Condition / disease", "type": "string", "description": "Filter by condition or disease name. Supports MeSH terms and free text. Example: 'diabetes', 'Alzheimer disease', 'COVID-19'." }, "intervention": { "title": "Intervention / drug", "type": "string", "description": "Filter by intervention or drug name. Example: 'metformin', 'pembrolizumab', 'cognitive behavioral therapy'." }, "sponsor": { "title": "Sponsor", "type": "string", "description": "Filter by sponsor or collaborator name. Example: 'Pfizer', 'National Cancer Institute', 'Mayo Clinic'." }, "overallStatus": { "title": "Overall status", "type": "array", "description": "Filter by one or more trial statuses. Leave empty to include all statuses.", "items": { "type": "string", "enum": [ "RECRUITING", "COMPLETED", "ACTIVE_NOT_RECRUITING", "NOT_YET_RECRUITING", "TERMINATED", "SUSPENDED", "WITHDRAWN", "ENROLLING_BY_INVITATION", "UNKNOWN" ] }, "default": [] }, "phase": { "title": "Phase", "type": "array", "description": "Filter by trial phase. Leave empty to include all phases.", "items": { "type": "string", "enum": [ "EARLY_PHASE1", "PHASE1", "PHASE2", "PHASE3", "PHASE4", "NA" ] }, "default": [] }, "maxRecords": { "title": "Max records", "minimum": 0, "type": "integer", "description": "Maximum number of studies to return. The API allows up to 1000 per page and will paginate automatically. Set to 0 for unlimited.", "default": 100 } } }, "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 } } } } } } } } } } ```