# Clinical Trials Monitor - ClinicalTrials.gov to JSON (`lxraa/clinical-trials-monitor`) Actor Search and monitor ClinicalTrials.gov via the official API. Filter by condition, sponsor, or status and get clean, flattened, no-code-ready records. - **URL**: https://apify.com/lxraa/clinical-trials-monitor.md - **Developed by:** [lxraa](https://apify.com/lxraa) (community) - **Categories:** Business, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Clinical Trials Monitor — ClinicalTrials.gov to Structured JSON Search and **monitor** clinical trials from the official **ClinicalTrials.gov** registry, and get back clean, flattened, ready-to-use JSON. No code, no API keys, no wrangling the raw API's nested structure. ### What you get (per trial) `nctId`, `url`, `title`, `status`, `phase`, `studyType`, `enrollment`, `leadSponsor`, `collaborators`, `conditions`, `interventions`, `startDate`, `completionDate`, `lastUpdate`, `locationsCount`, `countries`, `briefSummary`. ### Why use it - **Official source.** Pulls from the ClinicalTrials.gov v2 API — accurate, complete, and within terms (no scraping, no blocking). - **No-code & flattened.** The raw API returns deeply nested JSON; this Actor flattens each study into one tidy record for spreadsheets, dashboards, or RAG. - **Monitor, don't just pull.** Schedule it (e.g. daily) filtered by condition or sponsor to track newly recruiting or updated trials. ### Inputs | Field | Notes | |---|---| | `condition` | Disease/condition, e.g. `breast cancer`. | | `searchTerm` | Optional free-text keyword. | | `sponsor` | Optional lead sponsor/collaborator, e.g. `Pfizer`. | | `status` | One or more recruitment statuses (default `RECRUITING`). | | `maxResults` | Cap on studies returned. | ### Who it's for - Biotech / pharma — competitive & pipeline intelligence. - CROs & recruiters — find recruiting trials by condition/region. - Researchers & health-AI teams — structured datasets for analysis or training. ### Notes - Data is sourced from the public ClinicalTrials.gov API and is subject to its terms. This Actor does not collect personal data beyond what the public registry already publishes. # Actor input Schema ## `condition` (type: `string`): Medical condition or disease, e.g. "breast cancer", "type 2 diabetes". ## `searchTerm` (type: `string`): Optional extra keyword(s) searched across the study record. ## `sponsor` (type: `string`): Optional lead sponsor or collaborator name, e.g. "Pfizer". ## `status` (type: `array`): Filter by one or more overall statuses. Leave empty for all. ## `maxResults` (type: `integer`): Maximum number of studies to return. ## `mapTickers` (type: `boolean`): Add the lead sponsor's public-company ticker + SEC CIK when confidently matched (via SEC's official company list). Turns the trial feed into a biotech catalyst/pipeline signal source. ## Actor input object example ```json { "condition": "non-small cell lung cancer", "status": [ "RECRUITING" ], "maxResults": 200, "mapTickers": true } ```` # 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 = { "condition": "non-small cell lung cancer" }; // Run the Actor and wait for it to finish const run = await client.actor("lxraa/clinical-trials-monitor").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 = { "condition": "non-small cell lung cancer" } # Run the Actor and wait for it to finish run = client.actor("lxraa/clinical-trials-monitor").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 '{ "condition": "non-small cell lung cancer" }' | apify call lxraa/clinical-trials-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lxraa/clinical-trials-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Clinical Trials Monitor - ClinicalTrials.gov to JSON", "description": "Search and monitor ClinicalTrials.gov via the official API. Filter by condition, sponsor, or status and get clean, flattened, no-code-ready records.", "version": "0.1", "x-build-id": "l6xWznuMkvjFjrd6p" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lxraa~clinical-trials-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lxraa-clinical-trials-monitor", "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/lxraa~clinical-trials-monitor/runs": { "post": { "operationId": "runs-sync-lxraa-clinical-trials-monitor", "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/lxraa~clinical-trials-monitor/run-sync": { "post": { "operationId": "run-sync-lxraa-clinical-trials-monitor", "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": { "condition": { "title": "Condition / disease", "type": "string", "description": "Medical condition or disease, e.g. \"breast cancer\", \"type 2 diabetes\"." }, "searchTerm": { "title": "Free-text search term", "type": "string", "description": "Optional extra keyword(s) searched across the study record." }, "sponsor": { "title": "Sponsor / organization", "type": "string", "description": "Optional lead sponsor or collaborator name, e.g. \"Pfizer\"." }, "status": { "title": "Recruitment status", "type": "array", "description": "Filter by one or more overall statuses. Leave empty for all.", "items": { "type": "string", "enum": [ "RECRUITING", "NOT_YET_RECRUITING", "ENROLLING_BY_INVITATION", "ACTIVE_NOT_RECRUITING", "COMPLETED", "SUSPENDED", "TERMINATED", "WITHDRAWN" ] }, "default": [ "RECRUITING" ] }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of studies to return.", "default": 200 }, "mapTickers": { "title": "Map lead sponsor to stock tickers", "type": "boolean", "description": "Add the lead sponsor's public-company ticker + SEC CIK when confidently matched (via SEC's official company list). Turns the trial feed into a biotech catalyst/pipeline signal source.", "default": true } } }, "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 } } } } } } } } } } ```