# ClinicalTrials.gov Study Scraper (`scarlet_sheet/clinicaltrials-gov-scraper`) Actor

Extract clinical trials from the official ClinicalTrials.gov v2 API by condition, intervention, sponsor, location and status. Flat, analysis-ready rows with phases, enrollment, sites and sponsor data.

- **URL**: https://apify.com/scarlet_sheet/clinicaltrials-gov-scraper.md
- **Developed by:** [Lipa Pollak](https://apify.com/scarlet_sheet) (community)
- **Categories:** Business, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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 Study Scraper

Extract clinical trials from the official ClinicalTrials.gov v2 API by condition, intervention, sponsor, location and status. Flat, analysis-ready rows with phases, enrollment, sites and sponsor data.

### What does ClinicalTrials.gov Study Scraper do?

It queries the **official, public, no-login government API** and returns clean, flat JSON/CSV/Excel rows you can export, schedule, or connect to Zapier, Make, Google Sheets, or your own code through the Apify API. No proxies, no browser, no blocking — fast and cheap.

### Use cases

- Monitoring and alerts (schedule daily runs)
- Lead generation and market research
- Feeding data pipelines, BI dashboards, and AI agents/LLMs

### Input

| Field | Type | Description |
|---|---|---|
| `condition` | string | e.g. lung cancer |
| `intervention` | string | e.g. semaglutide |
| `sponsor` | string | e.g. Pfizer |
| `location` | string | City/state/country text |
| `statuses` | array | e.g. RECRUITING, COMPLETED |
| `maxResults` | integer | Max studies |

### Output example

See `test/sample-output.json` (real data from a live test run). Fields: `nctId`, `title`, `status`, `phases`, `studyType`, `conditions`, `interventions`, `leadSponsor`, `enrollment`, `startDate`, `completionDate`, `countries`, `siteCount`, `lastUpdate`, `url`.

### Pricing (pay per event)

- **Actor start:** $0.005 per run
- **Result:** $1.50 per 1,000 results

You pay only for the results you get. Set a maximum charge per run in Apify Console to cap spend. The run stops when it hits that cap.

### FAQ

**Is this legal?** The data comes from an official U.S. government open-data API that is meant for public reuse. Check that your own use follows the source's terms.
**Rate limits?** The Actor throttles its requests and retries with backoff when the source throttles it.

# Actor input Schema

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

e.g. lung cancer

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

e.g. semaglutide

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

e.g. Pfizer

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

City/state/country text

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

e.g. RECRUITING, COMPLETED

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

Max studies

## Actor input object example

```json
{
  "condition": "obesity",
  "statuses": [
    "RECRUITING"
  ],
  "maxResults": 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": "obesity",
    "statuses": [
        "RECRUITING"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scarlet_sheet/clinicaltrials-gov-scraper").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": "obesity",
    "statuses": ["RECRUITING"],
}

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

```

## MCP server setup

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

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/aukaDp4IrUJy8uJ4P/builds/ab8OPjZHwEoem9bxr/openapi.json