Fast ClinicalTrials Scraper — Drug Studies Pipeline

⚡ Quick Test (0-Setup): Click the Input tab above or Try for free — all fields are pre-filled with a real-world example. Simply click Start to see live verified data in seconds! 💡 Ultra-lightweight: Runs on 256 MB RAM — costs < $0.001 per run. 100% Free test included with your Apify monthly credits!

Zero-proxy, sub-second ClinicalTrials.gov v2 studies & pharma pipeline on 256MB RAM

⚡ Live Run Demo (Sub-second Execution)

[00:00.00] 🚀 Initializing Micro-Container (256MB RAM)...
[00:00.24] 🛡️ Anti-bot handshake passed: Native protocol bypass (Zero-Proxy Required)
[00:00.68] ⚡ Scraping ClinicalTrials.gov Biotech Pipeline & Drug Studies... 50 records extracted & sanitized
[00:01.35] ✅ STATUS: SUCCEEDED in 1.35s — Compute cost: $0.00078
[00:01.36] 📦 Export ready: [JSON] [CSV] [Excel] [Webhook Delivered]

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🛡️ 100% Zero-Block & Zero-Proxy Guarantee

• 🟢 Status: Operational & Actively Maintained (Verified daily for October 2026 anti-bot rules).
• ⚡ Smart Protocol Bypass: Queries official internal JSON & RPC protocols directly with genuine client headers. Zero heavy Chrome overhead, zero Cloudflare/Datadome 403 blocks.
• 🚫 Zero Expensive Proxies Needed: Runs effortlessly on direct connections or standard Apify proxies. Saves you $15/GB compared to bloated headless browser scrapers.

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📊 Data Sneak Peek: Clean Spreadsheet View (Excel & Google Sheets Compatible)

nctId	briefTitle	overallStatus	phases	leadSponsor	conditions	clinicalTrialsUrl
NCT05221320	A Study of Oral Semaglutide in Patients With Type 2 Diabetes	RECRUITING	Phase 3	Novo Nordisk A/S	Type 2 Diabetes Mellitus	https://clinicaltrials.gov/study/NCT05221320

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🎯 3 One-Click Real-World Scenarios

Choose your use case and launch it in 1 click:

• 🎯 Scenario 1: Pharma Competitor Pipeline Surveillance — Track upcoming Phase 2/3 trial readouts and drug pipeline progress across major pharmaceutical competitors.
• 🎯 Scenario 2: Clinical Site & Investigator Recruiting — Extract active study sites and coordinator contacts for CROs and patient recruitment campaigns.
• 🎯 Scenario 3: Biotech Investment Due Diligence — Audit clinical trial status, enrollment numbers, and completion dates before funding biotech startups.

👉 Open the Input Form to Launch Your Free Test

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💰 Transparent Cost Breakdown: What Does 1 Run Cost?

Unlike bloated scrapers that burn through monthly credits in 10 searches, this Actor is engineered for ultra-lightweight 256MB micro-containers:

Metric	Heavy Competitor Scrapers	Fast Scraper (This Actor)
RAM Allocated	2048 MB – 4096 MB	256 MB
Average Run Time	25 – 60 seconds	Sub-second to 2.5 seconds
Compute Cost per Run	~$0.05 per batch	~$0.0008 (Less than 1/10th of a cent)
Apify Free Tier ($5/mo)	~100 runs before credits run out	🔥 Up to 6,000+ runs 100% FREE every month

🎁 Every Apify account includes $5.00 in free compute credits every single month. You can run and test this scraper completely free without entering a credit card or upgrading.

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💻 Developer API Integration (Python & Node.js)

Call this Actor programmatically from your backend, ETL pipelines, or LLM agents in 3 lines of code:

🐍 Python SDK

from apify_client import ApifyClient

# Initialize the client with your Apify API token
client = ApifyClient("YOUR_APIFY_TOKEN")

# Run the Actor and wait for completion
run = client.actor("rbbscrap/fast-clinicaltrials-scraper").call(run_input={
    "condition": "Type 2 Diabetes",
    "intervention": "Semaglutide",
    "status": "RECRUITING",
    "maxItems": 50
})

# Fetch dataset items directly as Python dictionaries
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Extracted {len(items)} items successfully!")

🟡 Node.js / TypeScript SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('rbbscrap/fast-clinicaltrials-scraper').call({
    condition: "Type 2 Diabetes",
    intervention: "Semaglutide",
    status: "RECRUITING",
    maxItems: 50
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} items successfully!`);

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⚡ Integrations & Export Formats

Export your datasets in any format in 1 click:

• Formats: JSON, CSV, Microsoft Excel (.xlsx), XML, RSS, HTML Table.
• No-Code Automations: Connect directly to Make.com, Zapier, n8n, and Google Sheets.
• Webhooks: Configure instant webhooks to ping your backend server upon completion.