# ClinicalTrials.gov Scraper - Studies & Sponsors (`antishock/clinicaltrials-gov-studies-scraper`) Actor

Extract clinical trials from ClinicalTrials.gov: condition, intervention, phase, sponsor, enrollment, eligibility, sites and timelines. Filter by condition, drug, sponsor, country and recruitment status. Official NIH API, no key required.

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

## Pricing

from $1.00 / 1,000 result exporteds

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 Scraper - Clinical Studies, Sponsors & Sites

Extract clinical trial records from **ClinicalTrials.gov**, the registry of the U.S. National Library of Medicine with more than 500 000 studies worldwide. Search by condition, intervention, sponsor, location or free text and export structured study data.

Official government API v2, no key required, no proxy needed.

### What you get per study

| Field | Example |
|---|---|
| `nctId` | NCT07672652 |
| `title` / `officialTitle` | Effect of Type 2 Diabetes on Biomarker Levels |
| `overallStatus` | RECRUITING, COMPLETED, TERMINATED |
| `phases` | \["PHASE2", "PHASE3"] |
| `studyType` | INTERVENTIONAL, OBSERVATIONAL |
| `enrollmentCount` | 240 |
| `leadSponsor`, `sponsorClass` | Novo Nordisk, INDUSTRY |
| `collaborators` | partner organisations |
| `conditions`, `keywords` | \["Type 2 Diabetes"] |
| `interventions` | \["DRUG: Semaglutide"] |
| `minimumAge`, `maximumAge`, `sex`, `healthyVolunteers` | eligibility |
| `startDate`, `completionDate`, `lastUpdateDate` | timeline |
| `locationCount`, `countries`, `firstLocation` | where it runs |
| `studyUrl` | link to the public record |

### Search filters

- **condition** - disease or condition, e.g. `diabetes`, `breast cancer`
- **intervention** - drug, device or procedure, e.g. `semaglutide`, `immunotherapy`
- **sponsor** - e.g. `Pfizer`, `Mayo Clinic`
- **location** - country, state or city, e.g. `Germany`, `Boston`
- **searchTerm** - free text across the whole record
- **status** - recruiting, completed, terminated and more
- **maxResults** - up to 5000 studies per run

### Example input

```json
{
  "condition": "diabetes",
  "status": "RECRUITING",
  "location": "Germany",
  "maxResults": 200
}
```

### Use cases

- **Competitive intelligence in pharma** - track which sponsors run which trials in your indication
- **Site selection and patient recruitment** - find active sites by country and condition
- **Investor and market research** - monitor pipeline progress by phase and sponsor
- **Medical affairs and literature work** - build structured datasets for evidence reviews
- **Clinical operations** - watch status changes and completion dates across a portfolio
- **Academic research** - analyse trial design, enrolment and geography at scale

### Why ClinicalTrials.gov

Registration is legally required for most interventional studies in the United States and is standard practice worldwide before publication. The registry is therefore the most complete public picture of ongoing clinical research, and the v2 API exposes it as clean structured JSON.

### Notes

- Trials are deduplicated by NCT number within a run.
- `phases` is empty for observational studies.
- Location data is summarised: total count, distinct countries and the first site. Use the `studyUrl` for the full site list.

# Actor input Schema

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

Disease or condition studied, e.g. diabetes, breast cancer.

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

Drug, device or procedure, e.g. semaglutide, immunotherapy.

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

Lead sponsor or collaborator, e.g. Pfizer, Mayo Clinic.

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

Country, state or city where the study runs, e.g. Germany, Boston.

## `searchTerm` (type: `string`):

Searches the whole study record.

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

Filter by overall recruitment status.

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

How many studies to save.

## Actor input object example

```json
{
  "condition": "diabetes",
  "status": "RECRUITING",
  "maxResults": 100
}
```

# Actor output Schema

## `results` (type: `string`):

Scraped records in the default dataset.

# 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": "diabetes",
    "status": "RECRUITING",
    "maxResults": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("antishock/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 = {
    "condition": "diabetes",
    "status": "RECRUITING",
    "maxResults": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("antishock/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 '{
  "condition": "diabetes",
  "status": "RECRUITING",
  "maxResults": 100
}' |
apify call antishock/clinicaltrials-gov-studies-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,antishock/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/IOjiHsbD4vMxp8HYL/builds/aSdfFQtPlQyhkg9HT/openapi.json