ClinicalTrials Scraper - Low-cost💲🔥🧪🔬

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ClinicalTrials.gov Trial Listings Scraper 🔬🧪📊

The ClinicalTrials.gov Trial Listings Scraper is a powerful and scalable Apify Actor designed to extract structured clinical trial listings directly from ClinicalTrials.gov.

It enables medical research analysis, recruitment monitoring, healthcare intelligence, trial tracking, and structured dataset creation from one of the largest public clinical trial registries in the world.

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🎯 What This Scraper Does

Simply provide one or more ClinicalTrials.gov search URLs and the scraper handles everything automatically.

✅ Extracts structured clinical trial listings

✅ Supports multiple ClinicalTrials.gov search URLs

✅ Handles pagination automatically

✅ Applies maxItemsPerUrl limits

✅ Collects trial metadata and recruitment status

✅ Captures conditions and study locations

✅ Generates clean and structured datasets

✅ Ready for healthcare analytics & automation workflows

✅ Ideal for medical research and AI pipelines

✅ Export-ready output format

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📊 Data Extracted

🧪 Clinical Trial Information

Field	Description
🆔 nctId	Unique Clinical Trial ID (NCT Identifier)
📝 title	Official clinical trial title
📌 status	Recruitment status
🧬 conditions	Conditions or diseases studied
🌍 locations	Trial locations and study sites
🔗 trialUrl	Direct ClinicalTrials.gov trial page
🌐 sourceUrl	Original search URL used for extraction

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🛠 How to Use

1️⃣ Configure Input

Provide one or more ClinicalTrials.gov search URLs:

{
  "urls": [
    "https://clinicaltrials.gov/search?cond=cancer",
    "https://clinicaltrials.gov/search?cond=heart%20attack"
  ],
  "maxItemsPerUrl": 100
}

2️⃣ Run the Actor

• Loads trial listings from each provided URL

• Automatically paginates search results

• Extracts structured clinical trial data

• Stops when maxItemsPerUrl is reached

• Structures clean export-ready datasets

3️⃣ Export the Dataset

Download your results in multiple formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

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⚙️ Input Configuration

📥 Input Example

{
  "urls": [
    "https://clinicaltrials.gov/search?cond=cancer",
    "https://clinicaltrials.gov/search?cond=heart%20attack"
  ],
  "maxItemsPerUrl": 100
}

Input Fields

Field	Type	Description
urls	array	ClinicalTrials.gov search URLs
maxItemsPerUrl	integer	Maximum number of trials to scrape per URL (0 = unlimited)

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📤 Output Example

{
  "nctId": "NCT04414150",
  "title": "A Trial of SHR-1802 in Patients With Failure of Standard Treatment for Advanced Malignant Tumours",
  "status": "Completed",
  "conditions": "Malignant Tumours, Malignant Tumours",
  "locations": "Tianjin, Tianjin Municipality, China",
  "trialUrl": "https://clinicaltrials.gov/study/NCT04414150?cond=cancer&rank=1",
  "sourceUrl": "https://clinicaltrials.gov/search?cond=cancer"
}

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📊 Output explanation

Use Case	Description
🧪 Clinical Research Monitoring	Track ongoing and completed clinical trials
📊 Recruitment Analysis	Monitor recruitment status changes
🧬 Medical Trend Analysis	Analyze conditions and treatment research
🌍 Geographic Trial Mapping	Map global study locations and sites
🤖 AI & Healthcare Datasets	Build structured datasets for ML and analytics

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🌍 Why Use This Scraper?

🚀 Extract ClinicalTrials.gov trial listings at scale

📊 Clean and structured healthcare datasets

🧬 Monitor medical research activity

🌎 Analyze global study locations

⚡ Fully automated pagination & extraction

🤖 Automation-ready for recurring monitoring

📈 Ideal for healthcare intelligence workflows

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⚠️ Disclaimer

This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by ClinicalTrials.gov or the U.S. National Institutes of Health.

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💸 Pricing

This scraper runs on a pay per events subscription model.

You only pay for successful runs.

💳 Price: $1.99 / 1000 results

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Related Actors

If you're interested in other Healthcare, Jobs, Company Leads, or Research scraping solutions, explore more tools:

(Coming soon)

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📬 Support

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🌍 PrimeScrape

Built for scalable web data extraction & automation

Contact for custom scraping solutions or enterprise requests via Apify or by email.