# ClinicalTrials.gov Search: Trials, Sponsors & Sites (`frenchdatalab/clinical-trials-search`) Actor

Search the official ClinicalTrials.gov registry (600,000+ studies): condition, drug, sponsor, phase, status, country, city or distance, new trials. One row per study or per trial site with facility, location and contacts. Official US Government data.

- **URL**: https://apify.com/frenchdatalab/clinical-trials-search.md
- **Developed by:** [French Data lab](https://apify.com/frenchdatalab) (community)
- **Categories:** Lead generation, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 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: Trials, Sponsors & Sites

Search the official **ClinicalTrials.gov** registry (600,000+ studies worldwide) by **condition, drug, sponsor, phase, recruitment status, country, city or distance**, and get clean data: one row per **study**, or one row per **trial site** (hospital, clinic) with its location and contacts.

Official U.S. Government data, fetched live at every run.

### What can you do with it?

- 🏥 **Site selection & hospital prospecting** (CROs, site networks, medtech): *"every site of recruiting phase 3 breast cancer trials sponsored by industry in France"*, *"recruiting diabetes trial sites within 30 km of New York"*.
- 📈 **Competitive intelligence** (pharma, biotech, investors): *"all Novo Nordisk semaglutide trials"*, *"phase 2 and 3 lung cancer trials by sponsor"*.
- 🆕 **Weekly watch**: schedule *"industry trials first posted in the last 7 days"* and get only the new ones.
- 🔎 **Enrichment**: turn a list of NCT numbers into full study records.

### Why this Actor?

| | This Actor | Typical ClinicalTrials.gov tools |
|---|---|---|
| One row per trial site, filtered to your area | ✅ only the sites in your countries / cities / radius, and with your recruitment status | ❌ the whole site list of every matching trial |
| Distance search | ✅ latitude, longitude and radius | ⚠️ rare |
| Sponsor type, phase, study type, dates | ✅ industry vs academic, phases, new or updated since | ⚠️ |
| Countries by name or code | ✅ "FR" or "France", all ClinicalTrials.gov spellings | ❌ |
| Clean, flat fields | ✅ sponsor, phases, enrollment, dates, MeSH terms, ages, primary outcomes, site count, countries | ⚠️ deeply nested JSON |
| Terms of use respected | ✅ source and processing date in every row, no e-mail addresses (forbidden for marketing by ClinicalTrials.gov) | ⚠️ often copied as is |

### Input

| Field | Description | Example |
|---|---|---|
| `conditions` | Diseases or conditions | `["lung cancer"]` |
| `interventions` | Drugs, devices, procedures | `["pembrolizumab"]` |
| `sponsors` | Sponsors or collaborators | `["Pfizer"]` |
| `keywords` | Free text | `"immunotherapy"` |
| `nctIds` | Look up studies instead of searching | `["NCT04368728"]` |
| `statuses` | Recruitment status | `["RECRUITING", "NOT_YET_RECRUITING"]` |
| `phases` | `EARLY_PHASE1` … `PHASE4`, `NA` | `["PHASE3"]` |
| `studyTypes` | Interventional, observational, expanded access | `["INTERVENTIONAL"]` |
| `sponsorTypes` | `INDUSTRY`, `NIH`, `OTHER` (universities, hospitals)… | `["INDUSTRY"]` |
| `firstPostedWithinDays` / `firstPostedSince` / `updatedSince` | New or updated trials | `7` |
| `countries` / `cities` | At least one site there | `["FR"]`, `["Boston"]` |
| `latitude` / `longitude` / `radiusKm` | At least one site within the radius | `40.7128`, `-74.0060`, `30` |
| `oneRowPerSite` | One row per site instead of per study | `true` |
| `includeEligibilityCriteria` | Add the inclusion / exclusion criteria text | `false` |
| `maxResults` | Maximum rows | `500` |

### Output

**One row per study** (real example, shortened):

```json
{
    "nctId": "NCT06731907",
    "title": "A Study of Pembrolizumab With or Without Chemotherapy in Combination With Additional Treatments for Advanced Non-Small Cell Lung Cancer (NSCLC) (MK-3475-01G/KEYMAKER U01)",
    "status": "RECRUITING",
    "phases": ["PHASE2"],
    "leadSponsor": "Merck Sharp & Dohme LLC",
    "leadSponsorType": "INDUSTRY",
    "siteCount": 41,
    "url": "https://clinicaltrials.gov/study/NCT06731907",
    "dataProcessedOn": "2026-10-02"
}
```

Study fields: `officialTitle`, `acronym`, `whyStopped`, `studyType`, `conditions`, `conditionMeshTerms`, `keywords`, `interventions`, `interventionMeshTerms`, `collaborators`, `responsibleParty`, `enrollment`, `allocation`, `interventionModel`, `primaryPurpose`, `masking`, `startDate`, `primaryCompletionDate`, `completionDate`, `firstPosted`, `lastUpdated`, `hasResults`, `sex`, `minimumAge`, `maximumAge`, `healthyVolunteers`, `briefSummary`, `primaryOutcomes`, `centralContacts`, `overallOfficials`, `countries`, `sites` (first 100).

**One row per site** (real example, recruiting diabetes trials near New York):

```json
{
    "nctId": "NCT07142252",
    "facility": "Columbia University",
    "city": "New York",
    "country": "United States",
    "siteStatus": "RECRUITING",
    "contacts": [
        { "name": "Amy Doytchinov, BSN, RN", "role": "CONTACT", "phone": "212-851-5505" },
        { "name": "Jacqueline Lonier, MD", "role": "PRINCIPAL_INVESTIGATOR" }
    ]
}
```

Site rows also carry `state`, `zip`, `latitude`, `longitude` and the main study fields (title, status, phases, conditions, interventions, sponsor, enrollment, dates, URL).

### Notes

- Contacts are given with name, role and phone. **E-mail addresses are removed everywhere**, including from free text: ClinicalTrials.gov's terms forbid using them for marketing.
- Data are reorganised into flat fields, not modified. Every row carries `dataProcessedOn`, the date ClinicalTrials.gov processed the data, as its terms require.
- With free-text criteria the results are sorted by relevance; with "first posted" dates, newest first.

### Pricing

Pay per study returned, or per trial site in one-row-per-site mode (sites are cheaper). NCT numbers that are not found are free. Set a maximum cost per run and the Actor stops exactly there.

### Source

**ClinicalTrials.gov**, a service of the U.S. National Library of Medicine (NIH): a U.S. Government database, free of charge. This Actor is independent and not affiliated with or endorsed by NLM or NIH.

# Actor input Schema

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

e.g. "lung cancer", "type 2 diabetes", "Alzheimer". Synonyms are handled by ClinicalTrials.gov.

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

e.g. "pembrolizumab", "semaglutide", "CAR-T".

## `sponsors` (type: `array`):

e.g. "Pfizer", "Novartis", "National Cancer Institute".

## `keywords` (type: `string`):

Free text searched in the whole record.

## `nctIds` (type: `array`):

Look up these studies (e.g. NCT04368728) instead of searching. Unknown numbers are listed with found = false and are not charged.

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

Leave empty for all.

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

Leave empty for all.

## `studyTypes` (type: `array`):

Leave empty for all.

## `sponsorTypes` (type: `array`):

INDUSTRY = pharma, biotech and medtech companies.

## `firstPostedWithinDays` (type: `integer`):

e.g. 7 for the new trials of the week (great for a weekly scheduled run). Results are sorted newest first.

## `firstPostedSince` (type: `string`):

YYYY-MM-DD

## `updatedSince` (type: `string`):

YYYY-MM-DD: trials whose record changed since this date (status, sites, results…).

## `countries` (type: `array`):

Trials with at least one site in these countries: names ("France", "United States") or 2-letter codes (FR, US).

## `cities` (type: `array`):

Trials with at least one site in these cities, e.g. "Boston", "Lyon".

## `latitude` (type: `string`):

Decimal degrees, e.g. 40.7128 (with longitude and radius: trials with a site within the radius).

## `longitude` (type: `string`):

Decimal degrees, e.g. -74.0060.

## `radiusKm` (type: `integer`):

Default 50 km.

## `oneRowPerSite` (type: `boolean`):

Site selection & hospital prospecting: one row per facility (name, city, country, site status, site contacts' names, roles and phones) with the main study fields. With location filters, only the sites inside the area are returned.

## `includeEligibilityCriteria` (type: `boolean`):

Adds the inclusion / exclusion criteria text (long).

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

Maximum number of studies (or sites) returned.

## Actor input object example

```json
{
  "conditions": [
    "lung cancer"
  ],
  "statuses": [
    "RECRUITING",
    "NOT_YET_RECRUITING"
  ],
  "oneRowPerSite": false,
  "includeEligibilityCriteria": false,
  "maxResults": 50
}
```

# Actor output Schema

## `studies` (type: `string`):

No description

## `sites` (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 = {
    "conditions": [
        "lung cancer"
    ],
    "statuses": [
        "RECRUITING",
        "NOT_YET_RECRUITING"
    ],
    "maxResults": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("frenchdatalab/clinical-trials-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": ["lung cancer"],
    "statuses": [
        "RECRUITING",
        "NOT_YET_RECRUITING",
    ],
    "maxResults": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("frenchdatalab/clinical-trials-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": [
    "lung cancer"
  ],
  "statuses": [
    "RECRUITING",
    "NOT_YET_RECRUITING"
  ],
  "maxResults": 50
}' |
apify call frenchdatalab/clinical-trials-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,frenchdatalab/clinical-trials-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/tYJbKKPMJvQvk4rR2/builds/jWMjAK9Rg2FsilQMS/openapi.json