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

Scrape clinical trials from the official ClinicalTrials.gov registry: NCT id, title, status, phase, conditions, interventions, sponsor, enrollment, dates, eligibility, locations, contacts and outcomes. Filter by condition, status, sponsor. JSON/CSV/Excel.

- **URL**: https://apify.com/scrapers_lat/clinicaltrials-gov-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Business, Developer tools, Other
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $6.80 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

Get clinical trial records from the official ClinicalTrials.gov registry as clean JSON, CSV or Excel. Search by condition, intervention, sponsor, location, status or free text, and pay only for the studies you receive.

### What you get

| Group | Fields |
|---|---|
| Identity | NCT ID, brief and official title, acronym, sponsor study ID |
| Status | Overall status, reason stopped, phase, study type |
| Science | Conditions, keywords, interventions, primary purpose, allocation, masking |
| Sponsors | Lead sponsor and class, collaborators |
| Size and dates | Enrollment count and type, start, primary completion and completion dates |

See the Output tab for the full field list.

### Who uses it

- **Pharma and biotech teams:** track competitor pipelines by condition, drug or sponsor.
- **Clinical research suppliers:** find active trials and sponsors to contact.
- **Investors and analysts:** follow trial phases and completion dates.
- **Researchers and journalists:** build trial datasets without manual exports.

### Input

| Field | What it does |
|---|---|
| `condition` | Disease or condition, for example `breast cancer` |
| `intervention` | Drug, device or procedure |
| `sponsor` | Sponsor or collaborator name |
| `location` | City, state or country |
| `status` | Recruitment status filter |
| `query` | Free-text search across the study |
| `maxItems` | Maximum studies to return |

### Pricing

Pay per result. You are never charged for a failed run. Free Apify plan users get up to 10 results per run.

# Actor input Schema

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

Free-text term matched across the whole study record (condition, intervention, sponsor, title, NCT id and more). Example: 'cancer immunotherapy'. Leave empty and use the filters below.

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

Filter by medical condition or disease. Example: 'breast cancer', 'type 2 diabetes', 'alzheimer'.

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

Filter by intervention, drug or treatment name. Example: 'pembrolizumab', 'semaglutide', 'vaccine'.

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

Filter by lead sponsor or collaborator organization. Example: 'Pfizer', 'Merck', 'National Cancer Institute'.

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

Filter by a study location term such as a country, state, city or facility name. Example: 'United States', 'Texas', 'Boston'.

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

Keep only studies in the selected recruitment statuses. Leave empty for all statuses.

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

Maximum number of clinical trial studies to collect.

## Actor input object example

```json
{
  "condition": "breast cancer",
  "maxItems": 10
}
```

# 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": "breast cancer",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/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": "breast cancer",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/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": "breast cancer",
  "maxItems": 10
}' |
apify call scrapers_lat/clinicaltrials-gov-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapers_lat/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/zMiKRZMGK8A7DMqFs/builds/odMa3zbnhLGsZ6LAR/openapi.json