# Clinicaltrials Gov Scraper (`smorgi_apps/clinicaltrials-gov-scraper`) Actor

Scrape clinical studies from the official ClinicalTrials.gov API v2. Query by condition/intervention with status filters. Empty searches free. ~$1/1k.

- **URL**: https://apify.com/smorgi\_apps/clinicaltrials-gov-scraper.md
- **Developed by:** [Smorgi Apps](https://apify.com/smorgi_apps) (community)
- **Categories:** Lead generation, Business, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## ClinicalTrials.gov Scraper — Pay Per Result

Scrape **clinical studies** from the official [ClinicalTrials.gov API v2](https://clinicaltrials.gov/data-api/api). Query by condition/intervention and filter by overall status.

**Store search keywords:** ClinicalTrials.gov scraper · NCT studies · clinical trial data · recruiting trials · intervention search

***

### Why this Actor

| Pain | What we do |
|------|------------|
| Fragile HTML scrapers | Official JSON API v2 |
| Opaque failures | Empty searches → **not charged** |
| Unclear pricing | Flat **pay-per-result** PPE (~$1/1k) |

***

### Example input

```json
{
  "query": "diabetes",
  "status": ["RECRUITING"],
  "maxItems": 50
}
```

***

### Output fields

| Field | Description |
|-------|-------------|
| `nctId` | NCT identifier |
| `title` | Brief title |
| `status` | Overall status |
| `phase` | Study phases array |
| `conditions` | Condition list |
| `interventions` | Intervention names |
| `sponsor` | Lead sponsor |
| `startDate` / `completionDate` | Dates when present |
| `url` | `clinicaltrials.gov/study/{nctId}` |
| `scrapedAt` | ISO timestamp |

***

### Pricing

Pay-per-event for each **delivered** study.

- Empty queries / zero results → **not charged**
- Exact $/1k is on the Store pricing tab

***

### Limitations (honest)

- Endpoint: `GET https://clinicaltrials.gov/api/v2/studies`
- Pagination via `nextPageToken`
- Status filter uses `filter.overallStatus` (comma-separated enum values)
- Response modules vary; some fields may be null for sparse records

***

Issues / feature requests: use the Actor **Issues** tab.

### Related Actors

- [Pubmed Search](https://apify.com/smorgi_apps/pubmed-search-scraper)
- [Nih Reporter Grants](https://apify.com/smorgi_apps/nih-reporter-grants-scraper)
- [Grants Gov Opportunities](https://apify.com/smorgi_apps/grants-gov-opportunities-scraper)

# Actor input Schema

## `query` (type: `string`):

Condition, intervention, or free-text search (maps to query.term).

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

Optional overallStatus values, e.g. RECRUITING, COMPLETED, NOT\_YET\_RECRUITING, ACTIVE\_NOT\_RECRUITING.

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

Maximum studies to deliver.

## `pageSize` (type: `integer`):

Studies per API page (1–1000).

## `requestDelayMs` (type: `integer`):

Throttle between paginated requests.

## `proxyConfiguration` (type: `object`):

Optional. Official API usually works without proxies.

## Actor input object example

```json
{
  "query": "diabetes",
  "status": [
    "RECRUITING"
  ],
  "maxItems": 50,
  "pageSize": 50,
  "requestDelayMs": 300,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `studies` (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 = {
    "query": "diabetes",
    "status": [
        "RECRUITING"
    ],
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("smorgi_apps/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 = {
    "query": "diabetes",
    "status": ["RECRUITING"],
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("smorgi_apps/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 '{
  "query": "diabetes",
  "status": [
    "RECRUITING"
  ],
  "maxItems": 50
}' |
apify call smorgi_apps/clinicaltrials-gov-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,smorgi_apps/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/fh04vVDtk7UZNmz11/builds/9wTB2WDLWDBmdecT3/openapi.json