# FDA Clinical Trials Phase 3 & Biotech Catalyst Radar (`robinworld/fda-clinical-trials-biotech-catalyst`) Actor

Real-time clinical trial tracker monitoring FDA Phase 3 completions, PDUFA dates, and biotech stock catalysts before market open.

- **URL**: https://apify.com/robinworld/fda-clinical-trials-biotech-catalyst.md
- **Developed by:** [Robin world](https://apify.com/robinworld) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $16.00 / 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.

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

## 🧬 FDA Clinical Trials & Biotech Catalyst Tracker

> Real-time quantitative intelligence on Phase 1–4 clinical trials, estimated readout catalyst dates, investigational drug pipelines, and pharmaceutical sponsors. Built specifically for biotech hedge funds, healthcare equity analysts, and clinical trial recruiters.

[![Apify Actor](https://img.shields.io/badge/Apify-Actor%20Ready-brightgreen.svg)](https://apify.com)
[![Data Source](https://img.shields.io/badge/Data%20Source-ClinicalTrials.gov%20v2-blue.svg)](https://clinicaltrials.gov)
[![Pricing](https://img.shields.io/badge/Pricing-Pay--Per--Event%20\($0.0120/record\)-orange.svg)](#pricing)
[![Free Trial](https://img.shields.io/badge/Free%20Trial-$5.00%20Credit%20Included-success.svg)](#free-trial)

***

### 💡 Why Choose This Actor?

Biotech catalysts (Phase 2 proof-of-concept and Phase 3 pivotal data readouts) are the single largest drivers of volatility and multi-bagger returns in healthcare equities. Traditional intelligence feeds charge steep enterprise subscriptions:

| Feature / Metric | Enterprise Biotech Terminals (BioPharmCatalyst / Evaluate) | Custom In-House Python Scraper | **FDA Clinical Trials & Biotech Catalyst Tracker** |
| :--- | :--- | :--- | :--- |
| **Monthly Pricing** | **$499 – $1,999 / month** (Locked contract) | $0 + Dev maintenance time & IP block risk | **Pay-Per-Event ($0.0120 / trial)** (No commitment) |
| **Data Freshness** | Daily batch sync | Fragile / Breaks on API changes | **Real-time live NIH ClinicalTrials.gov v2 sync** |
| **Catalyst Date Modeling** | Manual tagging | None | **Automated Primary Completion Catalyst Window** |
| **Free Trial** | Demo call required | None | **$5.00 Free Trial Credit** (Up to 400 trials free) |
| **Export Formats** | CSV / Excel only | Manual setup | **JSON, CSV, Excel, Webhooks, Python API** |

***

### 🎯 Key Use Cases

1. **Biotech Hedge Funds & Quant Traders**:
   - Screen Phase 3 pivotal completion dates (`primary_completion_date`) to forecast binary catalyst volatility events.
   - Track sponsor pipeline changes (e.g. Pfizer, Eli Lilly, Biogen, Vertex) for pipeline expansion or trial discontinuations.
2. **Clinical Research Organizations (CROs)**:
   - Identify active recruiting trials by therapeutic area (`condition`) and competitor trial density.
3. **Medical Device & Pharma Intelligence**:
   - Monitor investigational drug combinations and competitive mechanism-of-action landscape.

***

### 📥 Input Parameters

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `condition` | String | `"Cancer"` | Disease or therapeutic condition (e.g. `Cancer`, `Alzheimer`, `Obesity`, `Rare Disease`, or blank for all). |
| `phase` | Select | `"PHASE3"` | Development phase filter: `ALL`, `PHASE1`, `PHASE2`, `PHASE3`, `PHASE4`. |
| `status` | Select | `"RECRUITING"` | Trial status: `ALL`, `RECRUITING`, `ACTIVE_NOT_RECRUITING`, `COMPLETED`. |
| `sponsor` | String | `""` | Optional sponsor filter (e.g. `Pfizer`, `Eli Lilly`, `Moderna`, `Novartis`). |
| `maxItems` | Integer | `50` | Maximum number of clinical trial records to extract (up to 500). |

***

### 📤 Output Data Format (JSON Sample)

```json
[
  {
    "nct_id": "NCT05423184",
    "brief_title": "A Phase 3 Study of Pembrolizumab Combination in Patients With Advanced Solid Tumors",
    "official_title": "A Randomized, Double-Blind, Phase 3 Study Comparing Pembrolizumab Plus Chemotherapy Versus Standard Care",
    "phases": "Phase 3",
    "overall_status": "RECRUITING",
    "lead_sponsor": "Merck Sharp & Dohme LLC",
    "collaborators": ["National Cancer Institute (NCI)"],
    "conditions": ["Non-Small Cell Lung Cancer", "Metastatic Carcinoma"],
    "interventions": ["Drug: Pembrolizumab", "Drug: Carboplatin"],
    "study_type": "INTERVENTIONAL",
    "enrollment_count": 850,
    "start_date": "2023-01-15",
    "primary_completion_date": "2026-11-30",
    "completion_date": "2027-06-30",
    "catalyst_timing": "🔥 Urgent Catalyst: Q4 2026 Expected Readout",
    "brief_summary": "The purpose of this study is to evaluate the progression-free survival and overall survival...",
    "study_url": "https://clinicaltrials.gov/study/NCT05423184",
    "scraped_at": "2026-09-08T04:30:00+00:00"
  }
]
```

***

### 🐍 1-Click Python Integration

```python
from apify_client import ApifyClient

## Initialize client with your Apify API Token
client = ApifyClient("YOUR_APIFY_TOKEN")

## Run the FDA Clinical Trials & Biotech Catalyst Tracker
run = client.actor("robinworld/fda-clinical-trials-biotech-catalyst").call(
    run_input={
        "condition": "Oncology",
        "phase": "PHASE3",
        "status": "RECRUITING",
        "maxItems": 50
    }
)

## Fetch results from the default dataset
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"[{item['nct_id']}] {item['lead_sponsor']}: {item['brief_title'][:60]}...")
    print(f"  👉 Catalyst Window: {item['catalyst_timing']} | Readout: {item['primary_completion_date']}")
```

***

### ❓ Frequently Asked Questions (FAQ)

##### Q: How often is the data updated?

Data is pulled in real-time from the official NIH ClinicalTrials.gov v2 REST API, reflecting all protocol amendments, status changes, and new submissions immediately.

##### Q: How is the catalyst window calculated?

The Actor extracts the official `primaryCompletionDateStruct` filed with the NIH protocol and maps it into quarterly financial catalyst milestones (`Q1-Q4 YYYY`).

##### Q: Can I run this on a scheduled basis?

Yes! You can configure an Apify Schedule (e.g. daily at 09:00 AM) to automatically push new Phase 2/3 trial readouts to your Slack, Discord, or database via Webhooks.

# Actor input Schema

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

Filter by disease or medical condition (e.g., 'Oncology', 'Cancer', 'Alzheimer', 'Obesity', 'Rare Disease'). Leave empty for all.

## `phase` (type: `string`):

Select the development phase to monitor. Phase 2 and 3 are highest impact for biotech stock catalysts.

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

Filter trials by recruitment status.

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

Optional: Filter by pharmaceutical sponsor name (e.g. 'Pfizer', 'Eli Lilly', 'Moderna', 'AstraZeneca').

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

Limit the number of clinical trial catalyst records retrieved.

## Actor input object example

```json
{
  "condition": "Cancer",
  "phase": "PHASE3",
  "status": "RECRUITING",
  "sponsor": "",
  "maxItems": 50
}
```

# Actor output Schema

## `overview` (type: `string`):

Structured real-time clinical trial catalysts, Phase readouts, drug interventions, and completion dates.

# 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("robinworld/fda-clinical-trials-biotech-catalyst").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("robinworld/fda-clinical-trials-biotech-catalyst").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 robinworld/fda-clinical-trials-biotech-catalyst --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,robinworld/fda-clinical-trials-biotech-catalyst"
        }
    }
}
```

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/5Uldmr3vz8LgtaSOw/builds/dMb9PxTOoKFwgZxP7/openapi.json