# ClinicalTrials.gov Search - Studies, Sponsors, Sites & Status (`zhucl1006/clinicaltrials-gov-search`) Actor

Search ClinicalTrials.gov via the official API v2: filter by condition, drug, sponsor, location, phase, status and update date. Get sponsor, enrollment, dates, sites, countries and study contacts as clean JSON. For pharma BD, CROs, investors and site recruiters. No key.

- **URL**: https://apify.com/zhucl1006/clinicaltrials-gov-search.md
- **Developed by:** [leo zhu](https://apify.com/zhucl1006) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 clinical trials

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 - Clinical Studies, Sponsors, Sites & Status

Search **500,000+ clinical studies** on **ClinicalTrials.gov** (U.S. National Library of Medicine) through the **official API v2**. Filter by condition, drug/intervention, sponsor, location, phase, recruitment status and last-update date, and get one clean JSON row per study: NCT ID, titles, status, phases, conditions, interventions, lead sponsor and collaborators, enrollment, key dates, number of sites, countries, site list and the official study contacts. No API key, no scraping - 50 studies in under a second.

### Who uses it

- **Pharma & biotech business development / competitive intelligence**: track every competitor trial for a drug class or indication; spot new phase 3 starts.
- **CROs, site networks & recruitment vendors**: find recruiting and not-yet-recruiting studies in your countries and reach the official study contacts.
- **Investors & analysts**: monitor pipelines of listed biotechs (sponsor filter) and status changes (terminated, completed, results posted).
- **Medical writers, consultants & researchers**: build landscape tables in minutes instead of days.
- **AI / automation**: daily "updated within 1 day" monitor into Slack, Sheets, a CRM or an LLM via the Apify API.

### Input

| Field | Description |
|---|---|
| `conditions` | Diseases, e.g. `obesity`, `NSCLC`. One search per condition. |
| `interventions` | Drugs/devices, e.g. `semaglutide`. Combined with each condition. |
| `searchTerms` | Free text across all fields. |
| `sponsor`, `location` | Sponsor/collaborator name; country/state/city/facility. |
| `statuses` | Recruiting, not yet recruiting, completed... (`ANY` for all). |
| `phases`, `studyType` | Phase 1-4, interventional / observational. |
| `updatedWithinDays` | Only studies updated in the last N days. |
| `maxItemsPerQuery` | Max studies per search (default 100). |
| `includeLocations`, `includeContacts`, `includeDescription` | Optional detail blocks. |

```json
{ "conditions": ["lung cancer"], "interventions": ["pembrolizumab"], "phases": ["PHASE3"], "statuses": ["ANY"], "location": "Germany", "maxItemsPerQuery": 200 }
```

### Output (one row per study)

```json
{
  "nctId": "NCT03036488", "briefTitle": "Study of Pembrolizumab (MK-3475) Plus Chemotherapy vs Placebo ... (KEYNOTE-522)",
  "overallStatus": "COMPLETED", "studyType": "INTERVENTIONAL", "phases": ["PHASE3"],
  "conditions": ["Triple Negative Breast Neoplasms"], "interventions": ["Biological: Pembrolizumab", "Drug: Carboplatin", "..."],
  "leadSponsor": "Merck Sharp & Dohme LLC", "leadSponsorClass": "INDUSTRY", "enrollment": 1174, "enrollmentType": "ACTUAL",
  "startDate": "2017-03-07", "primaryCompletionDate": "2025-10-14", "lastUpdatePosted": "2026-10-22", "hasResults": true,
  "locationCount": 193, "countries": ["Australia", "Brazil", "Canada", "..."],
  "locations": [{ "facility": "...", "city": "Scottsdale", "state": "Arizona", "country": "United States", "status": null }],
  "centralContacts": [], "overallOfficials": [{ "name": "Medical Director", "affiliation": "Merck Sharp & Dohme LLC", "role": "STUDY_DIRECTOR" }],
  "studyUrl": "https://clinicaltrials.gov/study/NCT03036488"
}
```

### Pricing (pay per event)

- **$0.002 per study saved** (`trial`) - 500 studies = $1.
- Tiny start fee per run (`apify-actor-start`). Failed searches are not charged. Set "Maximum cost per run" to cap spend.

### Notes

- Source: ClinicalTrials.gov public API (U.S. NLM / NIH). Data is as registered by sponsors - check the study page before relying on it. Not affiliated with NIH/NLM. Not medical advice.
- Contacts are the official study contacts published on ClinicalTrials.gov; use them only for study-related communication and respect applicable privacy and anti-spam laws.

# Actor input Schema

## `conditions` (type: `array`):

e.g. obesity, breast cancer, Alzheimer disease. One search per condition.

## `interventions` (type: `array`):

Drug, device or procedure names, e.g. semaglutide, pembrolizumab.

## `searchTerms` (type: `array`):

Free-text terms searched in all fields (titles, outcomes, NCT IDs...).

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

e.g. Pfizer, Novo Nordisk, National Cancer Institute.

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

Country, state, city or facility, e.g. Germany, Texas, Mayo Clinic.

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

Choose 'Any status' for all studies.

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

Empty = all phases.

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

Interventional = clinical trials.

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

Only studies updated in the last N days (0 = any). Use 1-7 for a monitor.

## `sortBy` (type: `string`):

Result order.

## `maxItemsPerQuery` (type: `integer`):

Stop after this many studies per condition/intervention combination.

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

Facility, city, country and site status (up to 500 sites per study).

## `includeContacts` (type: `boolean`):

Central contacts and overall officials as published on ClinicalTrials.gov.

## `includeDescription` (type: `boolean`):

Adds brief summary, eligibility criteria and primary outcome measures (larger rows).

## Actor input object example

```json
{
  "conditions": [
    "obesity"
  ],
  "interventions": [],
  "searchTerms": [],
  "statuses": [
    "RECRUITING",
    "NOT_YET_RECRUITING"
  ],
  "phases": [],
  "studyType": "ANY",
  "updatedWithinDays": 0,
  "sortBy": "LastUpdatePostDate:desc",
  "maxItemsPerQuery": 50,
  "includeLocations": true,
  "includeContacts": true,
  "includeDescription": false
}
```

# Actor output Schema

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

No description

## `runSummary` (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 = {
    "conditions": [
        "obesity"
    ],
    "statuses": [
        "RECRUITING",
        "NOT_YET_RECRUITING"
    ],
    "maxItemsPerQuery": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("zhucl1006/clinicaltrials-gov-search").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 = {
    "conditions": ["obesity"],
    "statuses": [
        "RECRUITING",
        "NOT_YET_RECRUITING",
    ],
    "maxItemsPerQuery": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("zhucl1006/clinicaltrials-gov-search").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 '{
  "conditions": [
    "obesity"
  ],
  "statuses": [
    "RECRUITING",
    "NOT_YET_RECRUITING"
  ],
  "maxItemsPerQuery": 50
}' |
apify call zhucl1006/clinicaltrials-gov-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,zhucl1006/clinicaltrials-gov-search"
        }
    }
}
```

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/oGdigkoQC9eM1ddZX/builds/HWYYKshFJxLTjVuqI/openapi.json