ClinicalTrials.gov Sponsor Leads & Clinical Trial Contact Extractor ($1.50 / 1K)

Extract verified clinical trial sponsors, biotechnology companies, lead principal investigators (PIs), and central trial contacts (direct emails & phone numbers) from the official ClinicalTrials.gov REST API v2.

Target decision-makers across pharmaceutical sponsors, clinical research organizations (CROs), medical universities, cancer research centers, and hospital site networks. Filter by disease condition, trial phase, recruitment status, intervention name, and commercial industry vs. academic sponsor class with automated B2B lead scoring (0–100).

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Why Choose This ClinicalTrials.gov Actor? (Comparison)

Capability	This Actor	Standard Web Scrapers	Manual ClinicalTrials.gov Search	Legacy Data Brokers
Pricing per 1,000 Leads	$1.50 / 1K ($0.0015 / lead)	$5.00 – $15.00 / 1K	Hours of manual copy-paste	$500 – $2,000 / month
Data Source	Official REST API v2 (api/v2/studies)	Unstable HTML scraping	Web UI	Stale pre-packaged CSVs
Central Contact Emails & Phones	✅ Cleaned, formatted & normalized	⚠️ Incomplete or masked	Manual lookup per page	Frequently outdated
Principal Investigator (PI) Extraction	✅ Named PI & academic affiliation	❌ Rarely parsed	Manual lookup	Partial
Commercial vs. Academic Filtering	✅ INDUSTRY, NIH, OTHER, OTHER_GOV	❌ No	Keyword only	Tiered paywall
Multi-Phase & Status Essie Filtering	✅ Native Essie expressions (AREA[Phase])	❌ Fails on multiple phases	Web form only	Static filters
Cursor Pagination (nextPageToken)	✅ Fully automated cursor walking	❌ Broken by offset barriers	10–50 studies/page	N/A
B2B Lead Opportunity Score (0–100)	✅ Built-in opportunity scoring	❌ No	❌ No	Proprietary black box
Automated B2B Segmentation Tags	✅ lead_segments for CRM/Clay	❌ No	❌ No	❌ No
Residential Proxy Costs	$0.00 (Direct public API)	$10 – $30 per 10k pages	$0.00	N/A

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Transparent Pricing ($1.50 per 1,000 Leads)

Pay only for actual trial records delivered ($0.0015 per lead via Apify Pay-Per-Event). Zero monthly commitments:

Workflow	Records Returned	Total Cost	Ideal For
Quick Test Run	25 leads	$0.0375 (~4 cents)	Validating contact coverage & schema
Weekly Disease Focus Feed	250 leads	$0.375	CRO business development & investigator matching
Targeted Multi-Phase Campaign	1,000 leads	$1.50	Life science SDR outreach & trial recruiting
Full Therapeutic Area TAM Export	10,000 leads	$15.00	Market intelligence & competitive clinical pipeline analysis

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High-Intent B2B Playbooks (Copy-Paste Inputs)

1. Commercial Oncology Phase 2 & 3 Trial Leads for CROs & Site Networks

Target high-budget commercial pharmaceutical and biotech sponsors running active recruiting Phase 2 and Phase 3 clinical oncology trials. Requires verified contact emails for immediate outreach:

{
  "condition": "oncology",
  "overallStatus": "RECRUITING",
  "studyPhase": ["PHASE2", "PHASE3"],
  "sponsorClass": "INDUSTRY",
  "requireContactEmail": true,
  "pageSize": 50,
  "maxItems": 500
}

2. Rare Disease & Gene Therapy Clinical Investigators

Find pioneering principal investigators and research centers conducting clinical trials for rare genetic disorders and novel gene therapies:

{
  "condition": "rare disease",
  "searchQuery": "gene therapy",
  "overallStatus": "RECRUITING",
  "sponsorClass": "ALL",
  "requireContactEmail": false,
  "pageSize": 50,
  "maxItems": 250
}

3. Medical Device & Diagnostic Clinical Trials

Target medical device manufacturers and diagnostic innovators testing novel diagnostic tools, implants, and surgical equipment:

{
  "condition": "cardiovascular",
  "searchQuery": "device",
  "overallStatus": "RECRUITING",
  "sponsorClass": "INDUSTRY",
  "requireContactEmail": true,
  "pageSize": 50,
  "maxItems": 300
}

4. Direct Pharmaceutical Sponsor Pipeline Audit

Monitor specific pharmaceutical sponsors (e.g. Pfizer, AstraZeneca, Novartis, Roche) across all recruiting studies with direct study contact coordinates:

{
  "sponsorName": "Pfizer",
  "overallStatus": "RECRUITING",
  "sponsorClass": "INDUSTRY",
  "pageSize": 50,
  "maxItems": 200
}

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Sample Output Record

{
  "nct_id": "NCT06787053",
  "brief_title": "Selecting Hypoxic Tumours for Treatment Modification",
  "overall_status": "RECRUITING",
  "study_phase": "Phase 2",
  "lead_sponsor_name": "University of Manchester",
  "lead_sponsor_class": "OTHER",
  "principal_investigator": "Ananya Choudhury, Professor",
  "central_contact_name": "Rachel Reed, MSc",
  "central_contact_email": "rachel.reed@manchester.ac.uk",
  "central_contact_phone": "+44 161 918 4780 ext. 7480",
  "enrollment_count": 30,
  "lead_opportunity_score": 95,
  "extracted_at": "2026-11-04T00:21:19Z",
  "study_url": "https://clinicaltrials.gov/study/NCT06787053",
  "lead_score": 95,
  "lead_segments": [
    "ACADEMIC_OR_GOV",
    "ACTIVE_RECRUITING",
    "DIRECT_EMAIL_AVAILABLE",
    "PI_IDENTIFIED"
  ],
  "start_date": "2024-10-16",
  "principal_investigator_affiliation": "University of Manchester",
  "conditions": [
    "Bladder Cancer",
    "Prostate Cancer"
  ],
  "interventions": [
    "Hypoxia-targeted radiotherapy"
  ],
  "locations_count": 1
}

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Output Fields Reference

Core Overview Fields (Table View)

Field Name	Type	Description
nct_id	String	Unique ClinicalTrials.gov study identifier (e.g. NCT06787053)
brief_title	String	Official study title
overall_status	String	Recruitment status (RECRUITING, NOT_YET_RECRUITING, etc.)
study_phase	String	Standardized trial phase (Phase 1, Phase 2, Phase 3, etc.)
lead_sponsor_name	String	Legal organization or company sponsoring the trial
lead_sponsor_class	String	Sponsor class: INDUSTRY, NIH, OTHER, OTHER_GOV
principal_investigator	String	Name of the lead Principal Investigator or Study Chair
central_contact_name	String	Lead study coordinator or regulatory contact person
central_contact_email	String	Normalized, lowercased contact email address
central_contact_phone	String	Formatted contact phone number with extension if applicable
enrollment_count	Integer	Total target or actual patient enrollment
lead_opportunity_score	Integer	B2B lead score (0–100) based on sponsor, contacts, and trial scale
extracted_at	String	UTC ISO 8601 extraction timestamp

Additional Enriched Attributes

Field Name	Type	Description
study_url	String	Direct URL to study on ClinicalTrials.gov (https://clinicaltrials.gov/study/{nct_id})
lead_segments	Array	Segmentation tags (INDUSTRY_SPONSORED, ACTIVE_RECRUITING, MEGA_TRIAL_500_PLUS, etc.)
start_date	String	Study start date (YYYY-MM-DD)
principal_investigator_affiliation	String	University, hospital, or research institution affiliation of the PI
conditions	Array	Medical diseases and conditions evaluated in the trial
interventions	Array	Specific drugs, biological agents, or devices tested
locations_count	Integer	Number of trial sites / hospital locations

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Integration Snippets

Python (Apify Client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")

run_input = {
    "condition": "oncology",
    "overallStatus": "RECRUITING",
    "studyPhase": ["PHASE2", "PHASE3"],
    "sponsorClass": "INDUSTRY",
    "requireContactEmail": True,
    "maxItems": 100,
}

# Run the Actor and wait for completion
run = client.actor("clinicaltrials-gov-sponsor-leads").call(run_input=run_input)

# Fetch results from the default dataset
dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items
for item in dataset_items:
    print(f"[{item['nct_id']}] {item['lead_sponsor_name']} - PI: {item['principal_investigator']} - Contact: {item['central_contact_email']}")

cURL / Direct REST API (Synchronous Execution)

Run synchronously and immediately retrieve JSON output into Clay, n8n, Make, or your custom pipeline:

curl -X POST "https://api.apify.com/v2/acts/clinicaltrials-gov-sponsor-leads/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "condition": "diabetes",
    "overallStatus": "RECRUITING",
    "sponsorClass": "INDUSTRY",
    "maxItems": 50
  }'

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Standalone Local Execution

This Actor can also be run locally from the command line without an Apify account:

git clone https://github.com/apify/clinicaltrials-gov-sponsor-leads.git
cd clinicaltrials-gov-sponsor-leads
pip install -r requirements.txt

# Run with default inputs
python3 src/main.py

# Output records are written to:
# storage/datasets/default/results.json