🧬 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.

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💡 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

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🎯 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.

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📥 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).

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📤 Output Data Format (JSON Sample)

[
  {
    "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"
  }
]

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🐍 1-Click Python Integration

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']}")

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❓ 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.