ClinicalTrials.gov Medical Studies & Research Radar

What can ClinicalTrials.gov Medical Studies & Research Radar do?

ClinicalTrials.gov Medical Studies & Research Radar extracts public data from ClinicalTrials.gov (US National Library of Medicine) in an automated, lightweight scraper. Retrieve structured records, identifiers, status metrics, and metadata in seconds without managing proxies or scraping infrastructure.

📦 What you can extract	⚙️ Features & integrations
🧪 Study Details: NCT ID, brief title, official study title, protocol status 🧬 Conditions & Interventions: Disease conditions, drug/device interventions 👥 Sponsors & Collaborators: Lead sponsor name, responsible investigators 📊 Study Design: Trial phase (Phase 1-4), enrollment count, study type ⏱️ Timestamps: First posted date, last update date, completion date	⚡ Zero proxies required: Direct, fast cloud execution 📅 Scheduling & automation: Run hourly, daily, or on-demand ⬇️ Multi-format export: Download JSON, CSV, Excel, or XML 🦾 API & SDK ready: Native Python and Node.js SDK integrations 🤖 AI & LLM friendly: Clean structured data for Claude, GPT, and agents

How much will scraping cost?

This Actor uses a transparent Pay-Per-Event (PPE) pricing model:

• Only $1.00 per 1,000 results ($0.0010 per record).
• Free Monthly Tier: Apify provides $5 in free usage credits every month, allowing you to scrape up to 5,000 records completely free each month.
• No recurring monthly subscriptions, no proxy fees, and no charge for runs that return 0 results.

How do I use ClinicalTrials.gov Medical Studies & Research Radar?

1. Create an account: Sign up for free at console.apify.com.
2. Open the Actor: Navigate to ClinicalTrials.gov Medical Studies & Research Radar in the Apify Store or Console.
3. Configure parameters: Enter your target search filters or leave the default settings to test.
4. Click Start: Hit Save & Start and watch live logs as records are extracted.
5. Download your data: Export in JSON, CSV, or Excel, or consume via the Apify API.

⬇️ Input Parameters

Configure extraction using the following input fields:

Parameter	Type	Default	Description
condition	string	oncology	Medical condition, disease, or indication (e.g., oncology, diabetes, Alzheimer, asthma).
pageSize	integer	20	Number of studies to retrieve (5 - 50).

⬆️ Output & Sample Dataset

Extracted items are stored in your default dataset. Here is an example of the clean JSON record structure:

[
  {
    "nctId": "NCT04385199",
    "briefTitle": "Trial of Novel Therapeutics in Oncology",
    "overallStatus": "RECRUITING",
    "phases": [
      "PHASE2"
    ],
    "conditions": [
      "Neoplasms",
      "Solid Tumors"
    ],
    "leadSponsor": "National Cancer Institute",
    "enrollmentCount": 250,
    "firstPostedDate": "2020-05-12",
    "extractedAt": "2026-11-04T08:00:00.000Z"
  }
]

💼 What can you do with this data?

• Biotech & Pharma Research: Track ongoing clinical drug trials and therapeutic competition.
• Medical Intelligence: Monitor innovative treatment approaches across specific diseases.
• Patient Recruitment Portals: Build automated registries of active recruiting clinical trials.
• Healthcare Analytics: Aggregate clinical study progression from Phase 1 through Phase 4.

❓ Frequently Asked Questions

Do I need proxies to run this Actor?

No. This Actor connects directly to public data endpoints and does not require paid residential or datacenter proxies.

Can I schedule this Actor to run automatically?

Yes. Use the Schedules tab in Apify Console to run this Actor automatically every hour, daily, or on any custom cron schedule.

Can I integrate this scraper with Python or Node.js?

Yes. You can invoke this Actor and stream results directly using the official Apify Python SDK or Apify JavaScript/TypeScript SDK.

How can I export my data?

You can download your dataset at any time in JSON, CSV, Excel, XML, or HTML table directly from the Apify Console or via API.