# Clinical Trials Scraper & API: ClinicalTrials.gov Search (`northpine-studio/clinical-trials-search`) Actor

Search ClinicalTrials.gov by condition, drug, sponsor, status, phase or country; flat analysis-ready rows. Official NLM API, no personal contact data.

- **URL**: https://apify.com/northpine-studio/clinical-trials-search.md
- **Developed by:** [Northpine Studio](https://apify.com/northpine-studio) (community)
- **Categories:** Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 result (study)s

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 Trial Search

Need every Phase 3 trial by a sponsor or condition for biotech research? Search ClinicalTrials.gov and get tidy rows.

Search ClinicalTrials.gov and get flat, analysis-ready JSON/CSV: sponsor, phases, enrollment, dates, interventions, primary outcomes, countries.

**Pay per result (about $2 per 1,000 rows; Apify free credit covers trials).** No API keys, no logins, no scraping of websites: only the official public API.

### Use cases

- Competitive pipeline tracking: every Phase 2/3 trial a sponsor is running in a condition
- Recruitment and site planning: recruiting trials by country and condition
- Market and investor research: sponsor activity, enrollment sizes and completion dates
- Feeding trial lists into spreadsheets, BI tools or LLM pipelines as flat JSON

### Example input

```json
{"condition":"melanoma","status":["RECRUITING"],"phase":["PHASE3"],"maxItems":100}
```

### Output fields

nctId, url, title, status, phases, conditions, interventions, leadSponsor, enrollment, startDate, primaryCompletionDate, completionDate, primaryOutcomes, locationCount, countries, hasResults

### Data source & terms

ClinicalTrials.gov API v2 (U.S. National Library of Medicine). Study contact names, emails and phone numbers are deliberately NOT included.

### Notes

Not medical advice. Always confirm trial details on clinicaltrials.gov. Not affiliated with the NLM.

Feedback and feature requests are welcome in the Actor's Issues tab.

# Actor input Schema

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

e.g. melanoma, type 2 diabetes. If no condition, term, intervention, sponsor or country is given at all, the Actor searches melanoma.

## `term` (type: `string`):

Free-text search across the study record.

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

e.g. pembrolizumab.

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

Lead sponsor, e.g. Pfizer (studies where this organisation is the lead sponsor, not just a collaborator).

## `country` (type: `string`):

e.g. Germany.

## `status` (type: `array`):

RECRUITING, NOT_YET_RECRUITING, ACTIVE_NOT_RECRUITING, COMPLETED, TERMINATED, WITHDRAWN ...

## `phase` (type: `array`):

EARLY_PHASE1, PHASE1, PHASE2, PHASE3, PHASE4, NA.

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

Result cap.

## Actor input object example

```json
{
  "condition": "melanoma",
  "status": [
    "RECRUITING"
  ],
  "phase": [
    "PHASE3"
  ],
  "maxItems": 100
}
```

# Actor output Schema

## `results` (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 = {
    "condition": "melanoma",
    "status": [
        "RECRUITING"
    ],
    "phase": [
        "PHASE3"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("northpine-studio/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 = {
    "condition": "melanoma",
    "status": ["RECRUITING"],
    "phase": ["PHASE3"],
}

# Run the Actor and wait for it to finish
run = client.actor("northpine-studio/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 '{
  "condition": "melanoma",
  "status": [
    "RECRUITING"
  ],
  "phase": [
    "PHASE3"
  ]
}' |
apify call northpine-studio/clinical-trials-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,northpine-studio/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/00QqBCV1AvzVpjnZN/builds/zjMKaYXD02XhCIMWZ/openapi.json