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Clinical Trials Protocol & Fast-Track Approvals Tracker

Pricing

from $5.00 / 1,000 results

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Clinical Trials Protocol & Fast-Track Approvals Tracker

Clinical Trials Protocol & Fast-Track Approvals Tracker

Extracts, structures, and standardizes global biotech & pharma clinical trials, FDA/EMA phase transitions, breakthrough therapy / fast-track designations, study endpoints, and sponsor intelligence.

Pricing

from $5.00 / 1,000 results

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Hunny

Hunny

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4 days ago

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Real-time intelligence and data extraction stream monitoring global biotechnology and pharmaceutical clinical trials, FDA/EMA phase transitions, breakthrough therapy & fast-track designations, and primary endpoint readout calendars.

Features

  • Global Registry Integration: Standardizes interventional study protocols and Phase 1–3 pivotal trials across ClinicalTrials.gov (NCT) and European Union Clinical Trials (EU CT).
  • Regulatory Fast-Track Intelligence: Tracks expedited regulatory statuses including FDA Breakthrough Therapy, Fast Track, Accelerated Approval pathways, and Orphan Drug designations.
  • Deep Clinical Metadata: Structured extraction of lead molecules, mechanisms of action, patient enrollment targets, primary completion dates, and primary efficacy endpoints.
  • Pay-Per-Event Monetization: Predictable micro-billing ($0.005 per extracted record) via the Apify Store Pay-Per-Event pricing model.

Pricing (Pay-Per-Event)

  • $0.005 USD per extracted clinical trial record
  • Billed dynamically via Apify Pay-Per-Event pricing model.

Input Parameters

ParameterTypeDefaultDescription
phasesArray["all"]Trial phases: phase-1, phase-2, phase-3, phase-4, early-phase-1
condition_filterString"all"Area: oncology, neurology, rare-diseases, immunology, cardiovascular
fda_designationString"all"Designation: fast-track, breakthrough-therapy, accelerated-approval, orphan-drug
status_filterString"all"Recruitment status: recruiting, active-not-recruiting, completed
min_enrollmentInteger0Minimum cohort enrollment threshold
max_recordsInteger50Maximum trial records to export (1 to 500)

Output Format

Each clinical trial record contains:

{
"nct_id": "NCT05912481",
"study_title": "A Phase 3, Randomized, Double-Blind Study of mRNA-4157 (V940) in Combination With Pembrolizumab...",
"sponsor": "ModernaTX, Inc.",
"collaborators": ["Merck Sharp & Dohme LLC"],
"phase": "phase-3",
"condition": "oncology",
"primary_intervention": "mRNA-4157 (V940) individualized neoantigen therapy + Pembrolizumab",
"study_type": "Interventional",
"study_status": "recruiting",
"enrollment_target": 1089,
"fda_designation": "breakthrough-therapy",
"primary_completion_date": "2029-07",
"primary_outcome_measure": "Recurrence-Free Survival (RFS) assessed by investigator",
"registry_url": "https://clinicaltrials.gov/study/NCT05912481",
"summary": "Pivotal global Phase 3 evaluating individualized mRNA cancer vaccine...",
"scraped_at": "2026-09-04T14:15:00+00:00"
}

Python Integration Example

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_API_TOKEN")
run_input = {
"phases": ["phase-3"],
"condition_filter": "oncology",
"fda_designation": "breakthrough-therapy",
"max_records": 50
}
run = client.actor("papa_developers/clinical-trials-approvals-scraper").call(run_input=run_input)
for item in client.dataset(run.default_dataset_id).iterate_items():
print(f"[{item['nct_id']}] {item['sponsor']} - {item['primary_intervention']} (Completion: {item['primary_completion_date']})")

License

Apache-2.0