# ClinicalTrials.gov Search — Fast Official API (`quartz_apple_dnx/clinicaltrials-search-fast-official-api`) Actor

Search ClinicalTrials.gov official v2 API for study status, phase, conditions, interventions, sponsors, enrollment, eligibility, dates, and institutional locations.

- **URL**: https://apify.com/quartz_apple_dnx/clinicaltrials-search-fast-official-api.md
- **Developed by:** [Piven Core](https://apify.com/quartz_apple_dnx) (community)
- **Categories:** AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.25 / 1,000 clinical trial studies

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 Search — Fast Official API

Search ClinicalTrials.gov through the official API v2 and receive structured study records.

Use it for **clinical-trial discovery, research monitoring, competitive intelligence, landscape analysis, study datasets, and automated trial-search workflows** without a login, API key, browser, proxy, or cookies.

### Common use cases

- Find registered studies matching a disease, intervention, sponsor, or research query
- Monitor the clinical-trial landscape around a therapeutic area
- Collect structured study status, phase, enrollment, intervention, and location data
- Build trial datasets for research or competitive analysis
- Feed NCT IDs and study metadata into downstream research workflows

### What you get

Output includes NCT ID, titles, status, study type, phase, enrollment, conditions, keywords, sponsor/collaborators, interventions, eligibility, key dates, and institutional locations.

Named investigator/contact-person fields are deliberately not exported.

### Official source

The Actor uses `https://clinicaltrials.gov/api/v2/studies` only. Cursor pagination follows the API's `nextPageToken`.

### Try it

```json
{"queries":["lung cancer"],"statuses":["RECRUITING"],"maxRows":25}
```

### Pricing

Private factory target: **$0.25 per 1,000 saved studies**, only if live cloud economics clear the existing 3× gate and exact PAY_PER_EVENT pricing is accepted.

### Important limitations

ClinicalTrials.gov records are registrations and study information supplied through the source system. This Actor does not determine whether a treatment is safe or effective, interpret trial results, provide medical advice, or guarantee that a listed study is recruiting or appropriate for a particular person. Verify important study information with the source and qualified professionals.

### About Piven Core

Built and maintained by **Piven Core** — focused data APIs and automation utilities for reliable, production-ready workflows.

Learn more: https://pivencore.com

# Actor input Schema

## `queries` (type: `array`):

One to ten free-text ClinicalTrials.gov query expressions.

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

Optional study status filters applied to every query. Allowed values: RECRUITING, NOT_YET_RECRUITING, ACTIVE_NOT_RECRUITING, COMPLETED, TERMINATED, WITHDRAWN, SUSPENDED, ENROLLING_BY_INVITATION.

## `maxResultsPerQuery` (type: `integer`):

Maximum studies returned for each query; pagination is handled with nextPageToken.

## `maxRows` (type: `integer`):

Hard cap on saved query × NCT study rows.

## Actor input object example

```json
{
  "queries": [
    "lung cancer"
  ],
  "statuses": [
    "RECRUITING"
  ],
  "maxResultsPerQuery": 25,
  "maxRows": 25
}
```

# Actor output Schema

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

No description

## `summary` (type: `string`):

No description

# 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 = {
    "queries": [
        "lung cancer"
    ],
    "statuses": [
        "RECRUITING"
    ],
    "maxResultsPerQuery": 25,
    "maxRows": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("quartz_apple_dnx/clinicaltrials-search-fast-official-api").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 = {
    "queries": ["lung cancer"],
    "statuses": ["RECRUITING"],
    "maxResultsPerQuery": 25,
    "maxRows": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("quartz_apple_dnx/clinicaltrials-search-fast-official-api").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 '{
  "queries": [
    "lung cancer"
  ],
  "statuses": [
    "RECRUITING"
  ],
  "maxResultsPerQuery": 25,
  "maxRows": 25
}' |
apify call quartz_apple_dnx/clinicaltrials-search-fast-official-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,quartz_apple_dnx/clinicaltrials-search-fast-official-api"
        }
    }
}
```

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/dcYSJH2QonAeJVKq4/builds/OHDVPS2rw4YRfVuzh/openapi.json