# ClinicalTrials.gov Scraper — Studies, Sponsors & Phases (`hichemdev/clinicaltrials-scraper`) Actor

Scrape clinical trials from ClinicalTrials.gov: NCT ID, status, phase, sponsor, conditions, interventions, enrollment, eligibility and study sites. Official API, no key.

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

## Pricing

from $3.00 / 1,000 studies

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 — Studies, Sponsors & Phases

Scrape **clinical trials from ClinicalTrials.gov** — **NCT ID, title, recruitment status, phase, sponsor, conditions, interventions, enrollment, eligibility and study sites**. Official government API, no key, no login.

### What you can do with it

- 💊 **Competitive intelligence for pharma/biotech** — who is running what, and in which phase
- 🏥 **Patient recruitment** — find actively recruiting trials by condition and location
- 📈 **Pipeline & landscape analysis** — enrollment, sponsors and trial density by indication
- 🔬 **CRO/site selection** — study sites per trial with city and country

### Input

| Field | Type | Description |
|-------|------|-------------|
| `condition` | string | Condition or disease, e.g. `breast cancer`, `type 2 diabetes`. |
| `intervention` | string | Drug or device, e.g. `pembrolizumab`. |
| `sponsor` | string | Lead sponsor or collaborator, e.g. `Pfizer`. |
| `location` | string | Country, state or city. |
| `status` | array | `RECRUITING`, `COMPLETED`, `TERMINATED`… |
| `phase` | array | `PHASE1` … `PHASE4`. |
| `maxStudies` | integer | Max studies to scrape. |

#### Example

```json
{ "condition": "breast cancer", "status": ["RECRUITING"], "phase": ["PHASE3"], "maxStudies": 200 }
```

### Output

```json
{
  "nctId": "NCT05800275",
  "title": "A Study of ... in Metastatic Breast Cancer",
  "status": "RECRUITING",
  "phases": ["PHASE2"],
  "studyType": "INTERVENTIONAL",
  "leadSponsor": "UNICANCER",
  "sponsorClass": "OTHER",
  "conditions": ["Breast Cancer"],
  "interventions": [{ "type": "DRUG", "name": "..." }],
  "enrollment": 30,
  "minimumAge": "18 Years",
  "startDate": "2023-05-01",
  "locationCount": 11,
  "locations": [{ "facility": "...", "city": "Paris", "country": "France" }],
  "url": "https://clinicaltrials.gov/study/NCT05800275"
}
```

Export to JSON, CSV, Excel, or pull live via the Apify API.

### Notes

- Uses the **official ClinicalTrials.gov API v2** — authoritative and always current.
- Combine `condition` + `status` + `phase` to build precise trial landscapes.
- `locations` is capped at the first 10 sites per study; `locationCount` gives the true total.

# Actor input Schema

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

Condition to search for, e.g. "breast cancer", "type 2 diabetes", "alzheimer".

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

Treatment, drug or device to search for, e.g. "pembrolizumab", "semaglutide".

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

Lead sponsor or collaborator, e.g. "Pfizer", "Novartis", "NIH".

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

Country, state or city where the trial runs, e.g. "Germany", "California".

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

Filter by study status. Leave empty for all.

## `phase` (type: `array`):

Filter by trial phase. Leave empty for all.

## `maxStudies` (type: `integer`):

Maximum number of studies to scrape.

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

Optional. The ClinicalTrials.gov API is public and works without a proxy.

## Actor input object example

```json
{
  "condition": "breast cancer",
  "status": [],
  "phase": [],
  "maxStudies": 10,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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",
    "intervention": "",
    "sponsor": "",
    "location": "",
    "status": [],
    "phase": [],
    "maxStudies": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("hichemdev/clinicaltrials-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",
    "intervention": "",
    "sponsor": "",
    "location": "",
    "status": [],
    "phase": [],
    "maxStudies": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("hichemdev/clinicaltrials-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",
  "intervention": "",
  "sponsor": "",
  "location": "",
  "status": [],
  "phase": [],
  "maxStudies": 10
}' |
apify call hichemdev/clinicaltrials-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hichemdev/clinicaltrials-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/kD0yjBPJl6BetnLKp/builds/BKypysVDXpnoREuHY/openapi.json