Clinical Trials Protocol & Fast-Track Approvals Tracker
Pricing
from $5.00 / 1,000 results
Go to Apify Store
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
Rating
0.0
(0)
Developer
Hunny
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
4 days ago
Last modified
Categories
Share
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
| Parameter | Type | Default | Description |
|---|---|---|---|
phases | Array | ["all"] | Trial phases: phase-1, phase-2, phase-3, phase-4, early-phase-1 |
condition_filter | String | "all" | Area: oncology, neurology, rare-diseases, immunology, cardiovascular |
fda_designation | String | "all" | Designation: fast-track, breakthrough-therapy, accelerated-approval, orphan-drug |
status_filter | String | "all" | Recruitment status: recruiting, active-not-recruiting, completed |
min_enrollment | Integer | 0 | Minimum cohort enrollment threshold |
max_records | Integer | 50 | Maximum 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 ApifyClientclient = 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