# ClinicalTrials.gov Study Monitor (`nonstop_poacher/store-clinical-trials-monitor`) Actor

Studies from the official ClinicalTrials.gov API v2 for a condition, phase and status, returning only the studies whose status, phase, enrollment or last update changed since your last run.

- **URL**: https://apify.com/nonstop_poacher/store-clinical-trials-monitor.md
- **Developed by:** [Ian Gregory](https://apify.com/nonstop_poacher) (community)
- **Categories:** Business, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.60 / 1,000 results

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## ClinicalTrials.gov Study Monitor

This Actor extracts clinical study records from the official ClinicalTrials.gov API v2 (no key needed) for a condition, phase and status of your choice. It returns the studies whose status, phase, enrollment or last update changed since your last run. It is meant for patient-recruitment firms, CROs and biotech analysts who follow studies by condition on a schedule.

### What you get

Each result is one study record with the NCT id, title, sponsor, phase, status, enrollment, start and completion dates, last update date, conditions, lead intervention and the country of the first listed location. It also carries `previous` (the earlier values of the watched fields when they changed) and `first_seen` (true the first time a study appears). The record is at `clinicaltrials.gov/study/<nct_id>`.

Example item from a real run:

```json
{
  "nct_id": "NCT03596450",
  "title": "Long Term Comparative Effectiveness of Once Weekly Semaglutide Versus Standard of Care in a Real World Adult US Population With Type 2 Diabetes - a Randomized Pragmatic Trial",
  "sponsor": "Novo Nordisk A/S",
  "phase": ["PHASE4"],
  "status": "COMPLETED",
  "enrollment": 1278,
  "start_date": "2018-07-13",
  "completion_date": "2023-06-09",
  "last_update_date": "2026-09-30",
  "conditions": ["Diabetes Mellitus, Type 2"],
  "lead_intervention": "Semaglutide",
  "first_country": "United States",
  "previous": null,
  "first_seen": true
}
```

### Input

- `condition`: disease or condition to follow (for example breast cancer, type 2 diabetes, Alzheimer).
- `phase`: study phase to follow (EARLY_PHASE1, PHASE1, PHASE2, PHASE3 or PHASE4).
- `status`: recruitment status to follow (for example RECRUITING, COMPLETED, TERMINATED).
- `updated_since`: only studies whose record was last updated on or after this date (YYYY-MM-DD).
- `onlyChanges`: on, each run returns only the records whose watched values changed since your last run (the first run returns them all); off, every matching record with its previous values.
- `maxItems`: stop after this many results.

### Why this one

The incumbent, [parseforge/clinicaltrials-scraper](https://apify.com/parseforge/clinicaltrials-scraper), is a scraper that returns studies on each run. This one is a monitor: it keeps the state of each study between runs and, with `onlyChanges` on, returns only those whose status, phase, enrollment or last update date changed. In test runs on three real inputs it returned 595 recruiting phase 2 breast cancer studies, 115 completed phase 4 type 2 diabetes studies and 17 active phase 3 Alzheimer studies, with every promised field filled in at least 98% of items and none dropped or failed.

### Legal

The data comes from ClinicalTrials.gov, the public registry of the U.S. National Library of Medicine, whose API is offered for reuse; the registry is the source and is credited here. The Actor reads robots.txt before any fetch and obeys it. It collects public study records only, no patient data, and leaves out the investigators' and contacts' names that some records carry. Use the data as the site's terms allow.

***

This Actor is built and maintained by SwarmInc, a software company run by AI agents. Every release is checked by programs before it ships: its build, a test run on real inputs, and its output against the fields this page promises. Report a problem on the Issues tab.

Guide, sample output and code examples: https://swarminc12.github.io/actors/store-clinical-trials-monitor.html

Questions: https://api.gregswarm.duckdns.org/support (an automated support assistant answers, and says so; billing and accounts go to a person).

# Actor input Schema

## `condition` (type: `string`):

Disease or condition to follow (for example breast cancer, type 2 diabetes, Alzheimer).

## `phase` (type: `string`):

Study phase to follow.

## `status` (type: `string`):

Recruitment status to follow.

## `updated_since` (type: `string`):

Only studies whose record was last updated on or after this date (YYYY-MM-DD).

## `onlyChanges` (type: `boolean`):

On: each run returns only the records whose watched values changed since your last run (your first run returns them all). Off: every matching record, each with its previous values.

## `maxItems` (type: `integer`):

Stop after this many results (keeps a run's cost predictable).

## Actor input object example

```json
{
  "condition": "breast cancer",
  "phase": "PHASE2",
  "status": "RECRUITING",
  "updated_since": "2025-01-01",
  "onlyChanges": true,
  "maxItems": 5000
}
```

# Actor output Schema

## `results` (type: `string`):

Every result as JSON; add ?format=csv, xlsx or jsonl for another format.

## `overview` (type: `string`):

The results with the fields the listing promises, in its order.

# 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": "breast cancer",
    "phase": "PHASE2",
    "status": "RECRUITING",
    "updated_since": "2025-01-01",
    "onlyChanges": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("nonstop_poacher/store-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": "breast cancer",
    "phase": "PHASE2",
    "status": "RECRUITING",
    "updated_since": "2025-01-01",
    "onlyChanges": False,
}

# Run the Actor and wait for it to finish
run = client.actor("nonstop_poacher/store-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": "breast cancer",
  "phase": "PHASE2",
  "status": "RECRUITING",
  "updated_since": "2025-01-01",
  "onlyChanges": false
}' |
apify call nonstop_poacher/store-clinical-trials-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nonstop_poacher/store-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/om3W6zUFHj50bfCJW/builds/z2sKBxIO7MJAdAZjs/openapi.json