# ClinicalTrials.gov Study Tracker (`calculating_kitchen_h0b/clinical-trials-tracker`) Actor

Search and monitor clinical trials from ClinicalTrials.gov: sponsors, phases, status, conditions, interventions, enrollment, dates, eligibility, outcomes and recruiting sites. Filter by condition, drug, sponsor, location or recent updates. Official API, no key.

- **URL**: https://apify.com/calculating_kitchen_h0b/clinical-trials-tracker.md
- **Developed by:** [Andres Barcelo](https://apify.com/calculating_kitchen_h0b) (community)
- **Categories:** Business, Open source, AI
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 clinical study 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?

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 Tracker

Search and monitor **clinical trials** from ClinicalTrials.gov (the US National Library of Medicine registry) and get clean, flat, analysis-ready records: sponsor, phase, status, conditions, interventions, enrollment, start and completion dates, eligibility criteria, primary outcomes and recruiting sites.

Built for biotech and pharma competitive intelligence, investors and analysts, CROs, patient-advocacy groups, medical writers, market researchers and AI agents.

### What you can do

- Track a competitor's pipeline: search by **sponsor** (e.g. Pfizer, Novartis) and phase.
- Map a disease area: search by **condition** and **intervention/drug** (e.g. "obesity" + "semaglutide").
- Find trials by **location** (country, state, city) and recruitment status.
- Monitor changes: set **Updated within (days)** and run on a schedule to catch newly changed studies, then send results to Google Sheets, Slack, email or your database with Apify integrations.

### Output (one record per study)

`nctId`, `title`, `officialTitle`, `sponsor`, `sponsorClass`, `collaborators`, `status`, `whyStopped`, `phases`, `studyType`, `allocation`, `masking`, `primaryPurpose`, `conditions`, `keywords`, `interventions`, `primaryOutcomes`, `enrollment`, `sex`, `minimumAge`, `maximumAge`, `healthyVolunteers`, `startDate`, `primaryCompletionDate`, `completionDate`, `firstPosted`, `lastUpdated`, `hasResults`, `fdaRegulatedDrug`, `fdaRegulatedDevice`, `briefSummary`, `eligibilityCriteria`, `siteCount`, `countries`, `sites` (facility, city, state, country, status) and `url`.

Personal contact details (investigator and contact names, emails, phone numbers) are intentionally **not** included.

### Pricing

Pay per result: **$2 per 1,000 clinical studies**. No subscription.

### Data source

Official public ClinicalTrials.gov API v2 (clinicaltrials.gov/api/v2). No login or API key needed. This Actor is not affiliated with or endorsed by the NLM or NIH. Information is for research and market intelligence, not medical advice.

# Actor input Schema

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

e.g. type 2 diabetes, breast cancer, Alzheimer

## `intervention` (type: `string`):

e.g. semaglutide, pembrolizumab, CAR-T

## `sponsor` (type: `string`):

Lead sponsor or collaborator, e.g. Pfizer, Novartis, National Cancer Institute

## `location` (type: `string`):

Country, state or city, e.g. Germany, Texas, Boston

## `keyword` (type: `string`):

Any other search terms (title, outcome, etc.)

## `statuses` (type: `array`):

Default: Recruiting

## `phases` (type: `array`):

Filter by trial phase (optional)

## `studyType` (type: `string`):

Interventional (trials) or observational studies; leave as Any for both.

## `updatedWithinDays` (type: `integer`):

Only studies whose record changed in the last N days (great for scheduled monitoring)

## `includeLocations` (type: `boolean`):

Include recruiting site facility, city, state, country (no contact details)

## `maxResults` (type: `integer`):

Maximum studies to return

## Actor input object example

```json
{
  "condition": "diabetes",
  "statuses": [
    "RECRUITING"
  ],
  "studyType": "",
  "includeLocations": true,
  "maxResults": 200
}
```

# Actor output Schema

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

Studies in the default dataset (overview view).

# 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": "diabetes"
};

// Run the Actor and wait for it to finish
const run = await client.actor("calculating_kitchen_h0b/clinical-trials-tracker").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": "diabetes" }

# Run the Actor and wait for it to finish
run = client.actor("calculating_kitchen_h0b/clinical-trials-tracker").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": "diabetes"
}' |
apify call calculating_kitchen_h0b/clinical-trials-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,calculating_kitchen_h0b/clinical-trials-tracker"
        }
    }
}
```

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/0oEjMlF4AbkCtPicq/builds/9pUAJtbCP96epLaF2/openapi.json