# TrialLead AI — Clinical Trials & Biotech PI Radar (`automation_studio/clinicaltrials-biotech-leads`) Actor

Real-time clinical trial intelligence, lead Principal Investigators (PIs), biotech sponsors, and direct contact emails from ClinicalTrials.gov. High-value leads for recruiters, CROs, and life-science investors.

- **URL**: https://apify.com/automation\_studio/clinicaltrials-biotech-leads.md
- **Developed by:** [Automation Studio](https://apify.com/automation_studio) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 clinical trial & pi lead records

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

## 🧬 TrialLead AI — ClinicalTrials.gov Biotech Pipeline & Principal Investigator Radar

> **Unlock real-time clinical trial intelligence, lead Principal Investigators (PIs), biotech sponsors, and direct contact emails from the official US National Library of Medicine (NLM) registry.**

***

### 💡 What is TrialLead AI?

Every year, pharmaceutical giants and venture-backed biotechs launch thousands of multi-million dollar clinical trials across oncology, immunology, neuroscience, rare diseases, and gene therapy.

Before a drug is announced at medical conferences or hits industry newsletters, federal regulations mandate that the study protocol be filed on **ClinicalTrials.gov**.

**TrialLead AI** turns the official US Government clinical registry into a real-time **B2B lead generation engine**, extracting not just dry trial IDs, but **direct contact emails, lead Principal Investigators (PIs), commercial sponsor tags, and recruitment urgency signals**.

***

### 🎯 High-Value Arbitrage & Use Cases

| Industry / Role | How They Profit From This Data |
|---|---|
| 👔 **Life Science Recruiters & Headhunters** | Placement fees for Clinical Trial Managers, Medical Monitors, and PIs range from **$20,000 to $50,000 per hire**. Find who is actively leading clinical trials before they get headhunted. |
| 🏥 **Contract Research Organizations (CROs)** | Target newly approved trials in `NOT_YET_RECRUITING` status (the **pre-launch golden window**) to pitch trial management, patient recruitment, and biostatistical services worth **$500k–$5M+**. |
| 🧪 **Pharma & Lab Suppliers** | Sell cold storage units, assay reagents, centrifuge hardware, and diagnostic consumables to trial sites before patient enrollment begins. |
| 📈 **Biotech Investors & Hedge Funds** | Track pipeline transitions (Phase 1 $\to$ Phase 2 $\to$ Phase 3), enrollment velocity, and competitor drug pipelines in real time. |
| 🤝 **Medical Affairs & MSLs** | Map key opinion leaders (KOLs) and clinical site coordinators across specialized therapeutic areas. |

***

### ⚡ What Data You Get

For every clinical study matched, **TrialLead AI** normalizes and outputs:

- **Study Identification**: `nctId`, `briefTitle`, `officialTitle`, `studyUrl`, `studyType`
- **Commercial Classification**: `leadSponsorName`, `leadSponsorClass` (`INDUSTRY`, `NIH`, `FED`, `OTHER`), `isIndustrySponsored`, `collaborators`
- **Lead Investigator Rolodex**: `principalInvestigator`, `principalInvestigatorRole`, `principalInvestigatorAffiliation`, full `allInvestigators` array
- **Direct Contact Rolodex**: `primaryContactName`, `primaryContactEmail`, `primaryContactPhone`, `allContactEmails`, `allContactPhones`
- **Trial Timeline & Urgency**: `overallStatus`, `recruitmentUrgency` (Pre-Launch vs Actively Recruiting), `startDate`, `completionDate`, `firstPostedDate`
- **Therapeutic Modality**: `modality` (*Biologic / Cell & Gene Therapy*, *Small Molecule Drug*, *Medical Device*, etc.)
- **Trial Scale**: `enrollmentCount`, `locationsCount`, `countries`, `states`
- **Interventions & Conditions**: `conditions` list, `interventions` list, detailed arms descriptions
- **Commercial Lead Score**: Proprietary 1–100 sales score based on industry funding, phase maturity, enrollment scale, and contact availability.

***

### 🚀 Key Input Filters

- **🔬 Condition / Disease Area**: e.g., `oncology`, `alzheimer's`, `type 2 diabetes`, `obesity`, `glp-1`, `rare diseases`, `solid tumors`.
- **💊 Drug / Intervention**: e.g., `pembrolizumab`, `semaglutide`, `mRNA-4157`, `CAR-T`.
- **🏢 Sponsor**: e.g., `Pfizer`, `Moderna`, `Eli Lilly`, `Novartis`.
- **🚨 Recruitment Status**: `NOT_YET_RECRUITING` (pre-launch golden window), `RECRUITING`, `COMPLETED`.
- **📈 Trial Phase**: Early Phase 1, Phase 1, Phase 2, Phase 3, Phase 4.
- **🏛️ Sponsor Type**: Industry Only (commercial pharma/biotech), NIH, Federal, Academic.
- **🌍 Country**: Filter by specific trial country (e.g., `United States`, `United Kingdom`, `Germany`) or `ALL`.

***

### 📋 Sample Output Record (JSON)

```json
{
  "nctId": "NCT07822373",
  "briefTitle": "A Phase 2 Study Evaluating Bladder Preservation With Enfortumab Vedotin",
  "studyUrl": "https://clinicaltrials.gov/study/NCT07822373",
  "overallStatus": "RECRUITING",
  "recruitmentUrgency": "🟢 Actively Recruiting",
  "phaseFormatted": "Phase 2",
  "modality": "Biologic / Cell & Gene Therapy",
  "conditions": [
    "Urothelial Carcinoma",
    "Bladder Cancer"
  ],
  "interventions": [
    "Enfortumab Vedotin",
    "Pembrolizumab"
  ],
  "leadSponsorName": "Seagen Inc. / Astellas Pharma",
  "leadSponsorClass": "INDUSTRY",
  "isIndustrySponsored": true,
  "principalInvestigator": "Derek Johnson, MD",
  "principalInvestigatorRole": "PRINCIPAL_INVESTIGATOR",
  "principalInvestigatorAffiliation": "Mayo Clinic Comprehensive Cancer Center",
  "primaryContactName": "Clinical Trial Navigators",
  "primaryContactEmail": "clinicaltrials@seagen.com",
  "primaryContactPhone": "1-855-473-2436",
  "enrollmentCount": 120,
  "locationsCount": 15,
  "countries": ["United States"],
  "states": ["California", "New York", "Texas"],
  "startDate": "2026-04-15",
  "firstPostedDate": "2026-09-16",
  "commercialLeadScore": 95
}
```

***

### 💰 Transparent Pay-Per-Event (PPE) Pricing

| Event | Price |
|---|---|
| 🚀 **Actor Run Start** | **$0.003** |
| 📥 **Per Trial Lead Extracted** | **$0.005** |

*Example: Extracting 200 high-value Phase 2/3 oncology trial leads costs just **$1.00**.*

***

### 🏆 Golden Standard Guarantees

- **100% Authentic Government Data**: Direct from official US NLM API v2 — **zero mock, synthetic, or fake data**.
- **Zero Browser Overhead**: Sub-second HTTP execution without headless browser lag.
- **Always Up-To-Date**: Access newly posted clinical trials minutes after they are accepted by the FDA / NLM.

# Actor input Schema

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

Disease or medical condition to search for (e.g. `oncology`, `alzheimer's`, `type 2 diabetes`, `obesity`, `rare diseases`, `multiple sclerosis`, `solid tumors`). Leave empty for all conditions.

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

Specific drug candidate, biologic, or intervention to search for (e.g. `pembrolizumab`, `semaglutide`, `mRNA-4157`, `CAR-T`, `tirzepatide`).

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

Filter by sponsor or company name (e.g. `Pfizer`, `Moderna`, `Eli Lilly`, `Novartis`, `AstraZeneca`, `National Cancer Institute`).

## `overall_status` (type: `array`):

Filter trials by current recruitment status. Select 'NOT\_YET\_RECRUITING' for pre-launch trials (the golden sales window for vendors and CROs).

## `phases` (type: `array`):

Select specific trial phases to include. Leave empty to include ALL phases.

## `sponsor_class` (type: `string`):

Select 'Industry' to target commercial pharmaceutical and biotech companies. Select 'All' for universities and hospital trials too.

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

Filter by study country (e.g. `United States`, `United Kingdom`, `Germany`, `Canada`, `France`, `Japan`). Set to 'ALL' for worldwide trials.

## `sort_by` (type: `string`):

Choose whether to prioritize the newest clinical trials or most recently updated protocols.

## `max_results` (type: `integer`):

Maximum number of clinical trial leads to collect in this run. Range: 1 to 10,000.

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

Optional: ClinicalTrials.gov API v2 is a free public US government API with no captcha blocks. Leave unconfigured for direct sub-second queries, or select Apify Proxy for high-volume enterprise tasks.

## Actor input object example

```json
{
  "condition": "oncology",
  "overall_status": [
    "RECRUITING",
    "NOT_YET_RECRUITING"
  ],
  "phases": [
    "PHASE1",
    "PHASE2",
    "PHASE3"
  ],
  "sponsor_class": "ALL",
  "country": "ALL",
  "sort_by": "StudyFirstPostDate:desc",
  "max_results": 50
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing clinical trials, lead PIs, sponsor classification, contact emails, recruitment urgency, and study timeline

# 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": "oncology",
    "overall_status": [
        "RECRUITING",
        "NOT_YET_RECRUITING"
    ],
    "phases": [
        "PHASE1",
        "PHASE2",
        "PHASE3"
    ],
    "sponsor_class": "ALL",
    "country": "ALL",
    "sort_by": "StudyFirstPostDate:desc"
};

// Run the Actor and wait for it to finish
const run = await client.actor("automation_studio/clinicaltrials-biotech-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 = {
    "condition": "oncology",
    "overall_status": [
        "RECRUITING",
        "NOT_YET_RECRUITING",
    ],
    "phases": [
        "PHASE1",
        "PHASE2",
        "PHASE3",
    ],
    "sponsor_class": "ALL",
    "country": "ALL",
    "sort_by": "StudyFirstPostDate:desc",
}

# Run the Actor and wait for it to finish
run = client.actor("automation_studio/clinicaltrials-biotech-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 '{
  "condition": "oncology",
  "overall_status": [
    "RECRUITING",
    "NOT_YET_RECRUITING"
  ],
  "phases": [
    "PHASE1",
    "PHASE2",
    "PHASE3"
  ],
  "sponsor_class": "ALL",
  "country": "ALL",
  "sort_by": "StudyFirstPostDate:desc"
}' |
apify call automation_studio/clinicaltrials-biotech-leads --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,automation_studio/clinicaltrials-biotech-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/45rwRxL6L3Zii8XDr/builds/PRZ6h5swo6lbfCjCF/openapi.json