# ClinicalTrials.gov Studies Scraper (`apt_marble/clinicaltrials-gov-studies-scraper`) Actor

ClinicalTrials.gov search: status, phase, conditions, interventions, sponsors, eligibility and sites.

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

## Pricing

$0.90 / 1,000 results

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 Studies Scraper

Search clinical trials on ClinicalTrials.gov. Get title, status, phase, conditions, interventions, sponsor, enrollment, dates, eligibility and locations for every study.

### What you get

- Search by condition, drug or keyword
- Filter by recruitment status
- Phase, design and enrollment
- Interventions, outcomes and eligibility criteria
- Sponsor and contact locations
- Automatic pagination with no page limit

### How to use

1. Open the Input tab. The form is already filled with a working example.
2. Change the fields to your own search, or keep the example to see the output format.
3. Click **Start** and download the results as JSON, CSV, Excel or HTML from the Output tab, or read them through the Apify API.

### Input

| Field | What it does |
|---|---|
| Search term | Condition, drug or keyword. |
| Status | Recruitment status. |
| Country (optional) | For example United States or France. |
| Maximum results | Stop after this many studies. |

Example input:

```json
{
  "query": "diabetes",
  "status": "RECRUITING",
  "maxItems": 100
}
```

### Output

Each result is one row. Main fields:

| Field | Description |
|---|---|
| nctId | NCT ID |
| url | Study page |
| title | Brief title |
| officialTitle | Official title |
| status | Overall status |
| whyStopped | Why stopped |
| studyType | Study type |
| phases | Phases |
| conditions | Conditions |
| keywords | Keywords |
| interventions | Interventions |
| sponsor | Lead sponsor |
| sponsorClass | Sponsor type |
| collaborators | Collaborators |
| enrollment | Enrollment |
| allocation | Allocation |
| masking | Masking |
| primaryPurpose | Primary purpose |
| startDate | Start date |
| completionDate | Completion date |
| firstPostedDate | First posted |
| lastUpdateDate | Last update posted |
| briefSummary | Brief summary |
| detailedDescription | Detailed description |
| eligibilityCriteria | Eligibility criteria |
| sex | Sex |
| minimumAge | Minimum age |
| maximumAge | Maximum age |
| healthyVolunteers | Healthy volunteers |
| primaryOutcomes | Primary outcomes |
| locations | Locations |
| locationCount | Number of locations |
| contacts | Central contacts |
| hasResults | Has results |

Example output (shortened):

```json
{
  "nctId": "NCT07604493",
  "url": "https://clinicaltrials.gov/study/NCT07604493",
  "title": "Oral Health and Systemic Diseases: Survey of General Practitioners",
  "officialTitle": "Oral Health and Systemic Diseases: An Investigative Survey of General Practitioners",
  "status": "RECRUITING",
  "studyType": "OBSERVATIONAL",
  "conditions": [
    "Periodontal Disease",
    "Diabete Mellitus"
  ],
  "keywords": [
    "smoking",
    "diabetes",
    "periodontitis"
  ],
  "interventions": [
    {
      "type": "OTHER",
      "name": "Questionnaire Survey",
      "description": "Participants will complete a questionnaire consisting of 35 closed-ended questions designed to assess General Practitioners' knowledge, clinical practices, and attitudes regarding oral health and its relationship with systemic diseases."
    }
  ],
  "sponsor": "University of Roma La Sapienza",
  "sponsorClass": "OTHER",
  "enrollment": 100,
  "startDate": "01-01-2026",
  "completionDate": "01-01-2027",
  "firstPostedDate": "22-05-2026",
  "lastUpdateDate": "28-05-2026",
  "briefSummary": "This cross-sectional observational study aims to assess the level of knowledge, clinical practices, and professional att...",
  "detailedDescription": "The aim of this study is to conduct an exploratory survey designed to assess the level of knowledge among General Practi...",
  "eligibilityCriteria": "Inclusion Criteria:\n\n* Licensed General Practitioners currently practicing in Italy\n* Ability to understand and complete...",
  "sex": "ALL",
  "minimumAge": "18 Years",
  "healthyVolunteers": true,
  "primaryOutcomes": [
    {
      "measure": "General Practitioners' level of knowledge regarding oral diseases and oral-systemic associations",
      "timeFrame": "At questionnaire completion (at baseline)"
    }
  ],
  "locations": [
    {
      "facility": "Sapienza università di Roma",
      "city": "Roma",
      "state": "RM",
      "country": "Italy",
      "zip": "00161",
      "status": "RECRUITING"
    }
  ],
  "locationCount": 1,
  "contacts": [
    {
      "name": "Fabrizio Guerra",
      "role": "CONTACT",
      "phone": "3283150627",
      "email": "fabrizio.guerra@uniroma1.it"
    }
  ],
  "hasResults": false
}
```

### Good to know

- The Actor never fails on a bad or empty input. It finishes with a clear message in the run status explaining what to change.
- Results are saved while the run is going, so you can open the dataset before it finishes.

### Support

Found a field that is missing or a result that looks wrong? Open an issue from the Actor page and include the run link.

# Actor input Schema

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

Condition, drug or keyword.

## `status` (type: `string`):

Recruitment status.

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

For example United States or France.

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

Stop after this many studies.

## Actor input object example

```json
{
  "query": "diabetes",
  "status": "",
  "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 = {
    "query": "diabetes",
    "status": "",
    "country": "",
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("apt_marble/clinicaltrials-gov-studies-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": "",
    "country": "",
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("apt_marble/clinicaltrials-gov-studies-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": "",
  "country": "",
  "maxItems": 100
}' |
apify call apt_marble/clinicaltrials-gov-studies-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,apt_marble/clinicaltrials-gov-studies-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/yFrksLrCwUlg2kFVA/builds/qC5fJIh0metaNfbX0/openapi.json