# Clinical Trial Site & Investigator Leads (`scrapesignal_labs/clinical-trial-site-leads`) Actor

Turn recruiting ClinicalTrials.gov studies into site-level facility, investigator, contact, sponsor, location, and trial leads for research vendors and recruiting teams.

- **URL**: https://apify.com/scrapesignal\_labs/clinical-trial-site-leads.md
- **Developed by:** [ScrapeSignal Labs](https://apify.com/scrapesignal_labs) (community)
- **Categories:** Lead generation, Automation, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 trial site leads

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/actors/running/actors-in-store.md#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

## Clinical Trial Site & Investigator Leads

Turn recruiting studies from the official ClinicalTrials.gov API into actionable **site-level leads**. Instead of returning one huge nested trial record, this Actor creates one clean row per research location with its facility, investigator, available contact details, sponsor, geography, recruiting status, conditions, phase, enrollment, dates, and original trial page.

ClinicalTrials.gov refreshes its public data every weekday. That makes this Actor useful for recurring business-development, site-recruitment, research-support, and market-intelligence workflows.

### Built for

- CRO and clinical-trial service providers
- patient-recruitment and site-support companies
- laboratory, imaging, logistics, software, and equipment vendors
- medical staffing and investigator-network teams
- pharma and biotech competitive intelligence
- research analysts and AI agents that need flat, source-linked data

### What makes it different

- One result per site rather than one deeply nested result per study
- Site and central contact fallback logic
- Principal-investigator identification
- Lead scoring based on recruiting status, contactability, investigator presence, and recency
- Condition, sponsor, location, status, country, contact, and update-window filters
- Stable IDs for deduplication and scheduled monitoring
- Official API, with no browser, proxy, login, or customer API key

### Example input

```json
{
  "condition": "melanoma",
  "sponsor": "",
  "locationQuery": "United States",
  "overallStatuses": ["RECRUITING", "NOT_YET_RECRUITING"],
  "updatedWithinDays": 90,
  "countries": ["United States"],
  "siteStatuses": ["RECRUITING", "NOT_YET_RECRUITING"],
  "requireContact": true,
  "maxSites": 500
}
```

### Output highlights

Each dataset row includes a stable record ID, lead score, NCT ID, study title and status, site status, facility, city/state/country, available contact name/phone/email, principal investigator, sponsor and collaborators, condition and intervention lists, trial phase, enrollment, key dates, update date, coordinates, and the official ClinicalTrials.gov link.

### Cost and testing

The launch price is **$0.50 per 1,000 delivered site leads**, plus the tiny Actor-start event and platform usage displayed by Apify. Start with three to ten results and use Apify's maximum-charge control to verify the output for pennies.

### Responsible use

ClinicalTrials.gov records are submitted by study sponsors and investigators. Registration does not mean that the US government reviewed the study's safety or science. Confirm current status and contact instructions on the official study page before outreach. Use contact information only for relevant professional purposes and follow applicable privacy, anti-spam, research, and healthcare rules. This Actor is not affiliated with ClinicalTrials.gov, NIH, or any study sponsor.

# Actor input Schema

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

Examples: melanoma, diabetes, Alzheimer's disease. Empty searches every condition.

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

Optional sponsor or collaborator name.

## `locationQuery` (type: `string`):

Optional city, state, country, or geographic search text.

## `otherTerms` (type: `string`):

Optional intervention, phase, acronym, or free-text search expression.

## `overallStatuses` (type: `array`):

Limit the search to studies in the selected overall recruitment states.

## `updatedWithinDays` (type: `integer`):

Only include studies whose record was posted or updated within this window.

## `countries` (type: `array`):

Exact country names. Empty includes every country returned by the search.

## `siteStatuses` (type: `array`):

Limit output locations to the selected site-level recruitment states.

## `requireContact` (type: `boolean`):

Only return sites with a site or central contact name, phone, or email.

## `maxSites` (type: `integer`):

Maximum normalized research-site records saved to the dataset.

## Actor input object example

```json
{
  "condition": "cancer",
  "sponsor": "",
  "locationQuery": "United States",
  "otherTerms": "",
  "overallStatuses": [
    "RECRUITING",
    "NOT_YET_RECRUITING",
    "ENROLLING_BY_INVITATION"
  ],
  "updatedWithinDays": 120,
  "countries": [
    "United States"
  ],
  "siteStatuses": [
    "RECRUITING",
    "NOT_YET_RECRUITING",
    "ENROLLING_BY_INVITATION"
  ],
  "requireContact": false,
  "maxSites": 500
}
```

# Actor output Schema

## `dataset` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesignal_labs/clinical-trial-site-leads").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("scrapesignal_labs/clinical-trial-site-leads").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 '{}' |
apify call scrapesignal_labs/clinical-trial-site-leads --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesignal_labs/clinical-trial-site-leads"
        }
    }
}

```

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/hLhimZT5UpBoAj6Or/builds/S8QZiwlixjbEl9Otm/openapi.json