# ClinicalTrials.gov Study Watch (`bakos_bence/clinicaltrials-watch`) Actor

Watch ClinicalTrials.gov via the official API v2 — titles, NCT IDs, status, sponsors, and start dates for a query or condition. Schedule competitor and pipeline monitors. Unofficial; not affiliated with NIH.

- **URL**: https://apify.com/bakos\_bence/clinicaltrials-watch.md
- **Developed by:** [Bakos Bence](https://apify.com/bakos_bence) (community)
- **Categories:** AI, Other
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.95 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

### What is ClinicalTrials.gov Study Watch?

Watch ClinicalTrials.gov studies for a keyword, condition, or sponsor — status and dates for biotech pipeline monitors.

[Documentation](https://bakosbence.com/web-data-collection/clinicaltrials-watch/)

### What ClinicalTrials.gov Study Watch returns

| Field | What it is | Example |
| --- | --- | --- |
| `nctId` | NCT id | NCT05564117 |
| `briefTitle` | Brief title | Research Study Looking at How Well Semaglutide Tablets Taken Once Daily Work in People Who Have a Body Weight Above t... |
| `overallStatus` | Overall status | COMPLETED |
| `leadSponsor` | Lead sponsor | Novo Nordisk A/S |
| `condition` | Condition | Overweight |
| `startDate` | Start date | 2022-10-11 |
| `sourceUrl` | Source URL | https://clinicaltrials.gov/study/NCT05564117 |
| `recordKey` | Record key | nct:NCT05564117 |

### How do I watch ClinicalTrials.gov studies?

1. Click **Try for free**.
2. Review the filled example on the Input tab.
3. Click **Start**.
4. Open the dataset and download it, or send it on with one of the integrations below.

### Input

The **Input** tab lists every field. The sample input is:

```json
{
    "query": "semaglutide",
    "maxItems": 5
}
```

### Pricing

See the [pricing](https://apify.com/bakos_bence/clinicaltrials-watch/pricing) page for current Pay-per-event rates.

### Integrations

#### Google Sheets

1. Create an Apify API token.
2. Use Apify's Sheets integration or Make/Zapier to append dataset rows after each run.

#### Excel

1. Run the Actor.
2. On the run page, open **Export** → **Excel**.

#### API

```bash
curl "https://api.apify.com/v2/acts/bakos_bence~clinicaltrials-watch/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"query": "semaglutide", "maxItems": 5}'
```

#### Zapier / Make / n8n

Trigger on Actor run succeeded, then fetch dataset items.

#### Webhooks

Add a webhook on Actor run events to POST the dataset URL when the run succeeds.

#### AI tools

Point an MCP/LLM tool at this Actor's input schema and schedule recurring watches.

### Disclaimer

Unofficial. Not affiliated with the data source agencies. Public government data only; verify critical compliance decisions against primary sources.

# Actor input Schema

## `query` (type: `string`):

Keyword, condition, sponsor, or intervention search term.

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

Optional CT.gov overallStatus filter (e.g. RECRUITING).

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

Cap dataset rows. Leave at 5 for a cheap first run.

## Actor input object example

```json
{
  "query": "semaglutide",
  "status": "",
  "maxItems": 5
}
```

# Actor output Schema

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

Default dataset items.

# 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 = {
    "query": "semaglutide",
    "status": "",
    "maxItems": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("bakos_bence/clinicaltrials-watch").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 = {
    "query": "semaglutide",
    "status": "",
    "maxItems": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("bakos_bence/clinicaltrials-watch").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 '{
  "query": "semaglutide",
  "status": "",
  "maxItems": 5
}' |
apify call bakos_bence/clinicaltrials-watch --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bakos_bence/clinicaltrials-watch"
        }
    }
}
```

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/yB886woZLVnylFjGU/builds/O4OYUhmCZk1nPoZA5/openapi.json