Clinical Trial Aggregator Scraper

🏥 Clinical Trial Aggregator Scraper is a powerful Apify Actor designed to discover and aggregate comprehensive Clinical Trial data from the official ClinicalTrials.gov database. This tool provides detailed Clinical Trial information including trial phases, status, sponsors, locations, and results availability. Whether you're conducting medical research, pharmaceutical analysis, or healthcare intelligence gathering, the Clinical Trial Aggregator Scraper delivers authoritative Clinical Trial data efficiently.

With direct API integration to ClinicalTrials.gov, pagination support, multi-field extraction, and real-time dataset integration, the Clinical Trial Aggregator Scraper ensures comprehensive discovery of relevant Clinical Trial opportunities and research data. It focuses on key Clinical Trial metrics including status, phase, sponsor information, and completion dates, making it an essential tool for Clinical Trial research and medical intelligence.

---

📋 Table of Contents

• Features
• Data Source
• How It Works
• Input
• Output
• Technical Stack
• Data Fields
• Trial Statuses
• Trial Phases
• Use Cases
• Quick Start
• Configuration
• Performance
• Important Notes
• Keywords
• Changelog
• Support

---

🔥 Features

• ClinicalTrials.gov API Integration – Direct integration with official Clinical Trial database for authoritative data.
• Keyword-Based Search – Search Clinical Trial data by medical condition, drug name, or procedure.
• Geographic Filtering – Filter Clinical Trial studies by country of origin or location.
• Multi-Status Aggregation – Fetches Clinical Trial data with all statuses (Recruiting, Not recruiting, Active, Completed, etc.).
• Comprehensive Field Extraction – Extracts 10+ key fields including trial ID, title, phase, and sponsor information.
• Pagination Support – Automatically handles pagination to retrieve up to limit trials.
• Phase Detection – Identifies Clinical Trial phases (Phase 1, Phase 2, Phase 3, Phase 4, N/A).
• Results Availability – Indicates whether Clinical Trial results are available.
• Date Tracking – Captures trial start and completion dates.
• URL Generation – Creates direct links to Clinical Trial profiles on ClinicalTrials.gov.
• Bulk Trial Processing – Discovers and analyzes multiple Clinical Trial studies.
• Pagination Efficiency – Retrieves 100 trials per API request for optimal speed.
• Rate Limiting – Includes automatic delays to respect API limits.
• Real-Time Dataset Push – Pushes results to Apify Dataset with metadata.
• Timestamp Recording – Records scrape timestamp for audit trails.
• Error Handling – Graceful error handling with detailed logging.
• Asyncio-Friendly – Non-blocking async/await architecture.

---

🌍 Data Source

ClinicalTrials.gov

• Authority: U.S. National Library of Medicine (part of NIH)
• Coverage: 400,000+ clinical studies worldwide
• Data Quality: Official, authoritative government database
• API: Public REST API v2
• Endpoint: https://clinicaltrials.gov/api/v2/studies
• Authentication: No authentication required (public data)
• Response Format: JSON
• Rate Limits: Approximately 1 request per 200ms recommended
• Completeness: Includes international trials, US-based and foreign studies

---

⚙️ How It Works

The Clinical Trial Aggregator Scraper takes a medical condition or keyword as input and searches the ClinicalTrials.gov API. It retrieves Clinical Trial studies across all statuses, extracting key information from multiple API response sections. Results are paginated and pushed to the Apify Dataset with comprehensive metadata.

Key Processing Steps:

1. Input Parsing – Accept keyword and optional country filter from Actor input
2. API Parameter Setup – Configure ClinicalTrials.gov API request parameters
3. Initial Search – Query API with keyword and filters
4. Pagination Loop – Continue fetching until limit reached or no more results
5. Data Extraction – Extract fields from multiple protocol sections
6. Trial Status Normalization – Convert status codes to human-readable format
7. Phase Detection – Extract and format trial phases
8. Results Checking – Verify results availability flag
9. URL Generation – Create direct links to ClinicalTrials.gov profiles
10. Dataset Push – Push individual trial records to Apify Dataset
11. Progress Logging – Report collection progress
12. Completion – Summarize total trials collected

Key Benefits:

• Access authoritative Clinical Trial data from official government database
• Discover Clinical Trial opportunities for patients and researchers
• Research pharmaceutical pipeline and development
• Analyze Clinical Trial landscapes by condition or sponsor
• Monitor Clinical Trial recruitment and completion
• Identify emerging research areas
• Conduct competitive pharmaceutical analysis

---

📥 Input

The Actor accepts the following input parameters:

Field	Type	Default	Description
keyword	string	required	Medical condition, drug name, or procedure to search Clinical Trial database
country	string	"" (empty)	Optional country filter (e.g., "United States", "Germany", "Japan")
limit	integer	200	Maximum Clinical Trial records to retrieve (1-10000)

Example Input:

{
  "keyword": "diabetes",
  "country": "",
  "limit": 300
}

US-Based Trials Example:

{
  "keyword": "cancer immunotherapy",
  "country": "United States",
  "limit": 500
}

Single Country Search:

{
  "keyword": "alzheimer",
  "country": "Germany",
  "limit": 200
}

---

📤 Output

The Actor pushes Clinical Trial records with the following structure:

Field	Type	Description
trial_id	string	NCT (National Clinical Trial) identifier (e.g., "NCT04567890")
title	string	Clinical Trial brief title/name
status	string	Current trial status (Recruiting, Active, Completed, etc.)
phase	string	Trial phase (Phase 1, Phase 2, Phase 3, Phase 4)
sponsor	string	Lead sponsor organization name
start_date	string	Trial start date (YYYY-MM-DD format)
completion_date	string	Planned or actual completion date
results_available	boolean	Whether Clinical Trial results are available
url	string	Direct link to ClinicalTrials.gov trial page
scraped_at	string	ISO 8601 scrape timestamp

Example Output Record:

{
  "trial_id": "NCT04567890",
  "title": "A Study to Evaluate the Efficacy and Safety of Drug ABC in Type 2 Diabetes",
  "status": "Recruiting",
  "phase": "Phase 2/Phase 3",
  "sponsor": "Pharmaceutical Company XYZ",
  "start_date": "2024-03-15",
  "completion_date": "2026-12-31",
  "results_available": false,
  "url": "https://clinicaltrials.gov/study/NCT04567890",
  "scraped_at": "2025-02-14T12:00:00Z"
}

Completed Trial Example:

{
  "trial_id": "NCT03210456",
  "title": "Long-Term Safety and Efficacy of Treatment X in Cancer Patients",
  "status": "Completed",
  "phase": "Phase 3",
  "sponsor": "National Cancer Institute",
  "start_date": "2020-06-01",
  "completion_date": "2024-11-30",
  "results_available": true,
  "url": "https://clinicaltrials.gov/study/NCT03210456",
  "scraped_at": "2025-02-14T12:00:00Z"
}

---

🧰 Technical Stack

• HTTP Requests: requests library with asyncio executor
• API: ClinicalTrials.gov REST API v2 (JSON)
• Async: asyncio for concurrent operations
• JSON: Native JSON parsing
• Logging: Apify Actor logging system
• Platform: Apify Actor serverless environment
• Timeout: 20 seconds per API request
• Rate Limiting: 0.2-second delay between API calls

📋 Trial Statuses

Status	Description
Recruiting	Currently enrolling participants
Not Yet Recruiting	Approved but not started enrollment
Active, Not Recruiting	Ongoing, no new participants accepted
Enrolling by Invitation	Only specific participants can join
Suspended	Temporarily halted
Terminated	Stopped before completion
Completed	Finished, final results may be available
Withdrawn	Never started or cancelled before initiation

---

📊 Trial Phases

Phase	Description
Phase 1	Safety and dosage testing (20-100 volunteers)
Phase 2	Efficacy and side effects (100-500 volunteers)
Phase 3	Monitoring and effectiveness (1000-5000 volunteers)
Phase 4	Post-market monitoring and safety surveillance
N/A	No specific phase (observational, behavioral studies)

---

🎯 Use Cases

• Patient Research – Find Clinical Trial opportunities for specific conditions
• Drug Pipeline Analysis – Research pharmaceutical Clinical Trial landscape
• Competitor Analysis – Monitor competitor Clinical Trial portfolios
• Research Institution Analysis – Track institution Clinical Trial activity
• Market Opportunity Assessment – Evaluate therapeutic area Clinical Trial activity
• Regulatory Intelligence – Monitor development stages and Clinical Trial progress
• Recruitment Analysis – Identify active Clinical Trial recruitment opportunities
• Medical Literature Research – Find trials for conditions covered in research
• Healthcare Investment Analysis – Assess pharmaceutical company Clinical Trial pipelines
• Academic Research – Discover related Clinical Trial studies
• Patient Advocacy – Compile Clinical Trial information for patient communities
• Geographic Expansion – Identify Clinical Trial availability by country
• Results Tracking – Monitor Clinical Trial completion and result publication
• Biomarker Research – Find trials with specific biomarker endpoints
• Real-World Evidence – Identify trials that might generate real-world data

---

🚀 Quick Start

1. Prepare Input

Go to Apify Console and enter:

{
  "keyword": "diabetes",
  "country": "",
  "limit": 300
}

2. Run the Actor

Click Start button. The Actor will:

• Query ClinicalTrials.gov API
• Fetch trials matching keyword
• Extract comprehensive trial data
• Handle pagination
• Push results to Dataset

3. Monitor Progress

Console shows:

Starting fetch for 'diabetes' - Fetching all statuses for maximum output.
Progress: 100 trials collected...
Progress: 200 trials collected...
Scraping finished. Total trials pushed to dataset: 287

4. View & Download Results

• Results Tab: All trial records
• Export: JSON, CSV, Excel
• Filter: By status or phase
• Links: Direct to ClinicalTrials.gov

---

⚙️ Configuration

Keyword Types

Medical condition:

{
  "keyword": "diabetes"
}

Drug name:

{
  "keyword": "metformin"
}

Procedure:

{
  "keyword": "stem cell transplant"
}

Country Filtering

US only:

{
  "country": "United States"
}

Multiple countries require multiple runs:

{
  "keyword": "cancer immunotherapy",
  "country": "Germany"
}

Limit Configuration

Small sample (50 trials):

{
  "limit": 50
}

Comprehensive (1000+ trials):

{
  "limit": 1000
}

---

📈 Performance

Processing Speed

• ~2-5 seconds for 100 trials
• ~10-20 seconds for 300 trials
• ~30-60 seconds for 1000 trials
• Includes 0.2-second API rate limit delay

Resource Usage

• Memory: ~50-100MB
• CPU: ~15-20% during processing
• Network: ~500KB-2MB per search
• API calls: ~3-10 depending on limit

Pagination

• Fetches 100 trials per API request
• Automatic pagination handling
• Continues until limit or no more results

Data Quality

• Authority: Official government database (authoritative)
• Completeness: Comprehensive but not 100% complete
• Currency: Data updated by sponsors (not real-time)
• Accuracy: Depends on sponsor-submitted information
• Verification: Always verify with official ClinicalTrials.gov

Best Practices

• Use results for research, not medical advice
• Verify critical information independently
• Check original ClinicalTrials.gov pages for latest updates
• Monitor ongoing trials for status changes
• Review inclusion/exclusion criteria on original trial pages
• Contact trial sponsors for enrollment questions

📦 Changelog

v1.0.0 (February 2025)

Initial Release:

• ClinicalTrials.gov API v2 integration
• Keyword-based Clinical Trial search
• Country filtering support
• Multi-status trial aggregation
• Comprehensive field extraction (10+ fields)
• Automatic pagination handling
• Trial phase detection and normalization
• Trial status normalization
• Results availability checking
• URL generation for trial profiles
• Bulk trial processing
• Rate limiting (0.2s between requests)
• Asyncio executor for non-blocking requests
• Real-time Dataset push
• ISO 8601 timestamp recording
• Error handling and logging
• Configurable result limit (1-10000)

---

🧑‍💻 Support & Feedback

• Issues: Submit via Apify console
• Documentation: Check Actor details page
• Community: Apify forum discussions
• Feature Requests: Suggest improvements
• Bug Reports: Include keyword and errors

---

Output Access

• Results Tab: All trial records
• Export: JSON, CSV, Excel
• Filter: By status or phase
• API: Query via Apify API

Disclaimer: Clinical Trial Aggregator Scraper is provided as-is for research purposes. Users are responsible for ensuring compliance with regulations. Always verify trial information with official ClinicalTrials.gov sources.

---

🎉 Get Started Today

Deploy now for clinical trial research!

Use for:

• 📚 Medical Research
• 🔬 Pharmaceutical Analysis
• 💊 Drug Pipeline Analysis
• 🏥 Healthcare Intelligence
• 📊 Market Research

Perfect for:

• Researchers
• Pharmaceutical Companies
• Healthcare Professionals
• Patients
• Investors
• Academic Institutions

---

Last Updated: February 2025
Version: 1.0.0
Status: Production Ready
Platform: Apify Actor
Architecture: Async/Await
API Source: ClinicalTrials.gov v2
Data Quality: Official/Authoritative

---

📚 Related Tools

• Smart Article Extractor
• Fast News Content Scraper
• Clinical Guidelines & Protocols Aggregator
• Business Social Media Finder

---

🏥 Clinical Trial Excellence

This Actor is optimized for Clinical Trial research with:

• ✅ Official ClinicalTrials.gov API integration
• ✅ Comprehensive field extraction
• ✅ Multi-status aggregation
• ✅ Automatic pagination
• ✅ URL generation
• ✅ Real-time Dataset integration
• ✅ Error recovery
• ✅ Production-ready code