# Clinical Trials Monitor - ClinicalTrials.gov to JSON (`aaddss/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/aaddss/clinical-trials-monitor.md
- **Developed by:** [lxraa](https://apify.com/aaddss) (community)
- **Categories:** Business, Agents
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 clinical trial records

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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("aaddss/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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "condition": "non-small cell lung cancer" }

# Run the Actor and wait for it to finish
run = client.actor("aaddss/clinical-trials-monitor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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 aaddss/clinical-trials-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,aaddss/clinical-trials-monitor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/tYAuumUNqJOjde2il/builds/l6xWznuMkvjFjrd6p/openapi.json