ClinicalTrials Sponsor Intelligence — Pipeline & FDA Cross-Reference

Track clinical trials by sponsor or condition with phase, status, completion date — and optionally cross-reference each completed trial against FDA drug approvals to flag whether the intervention later received regulatory clearance. No API key required.

Keywords: ClinicalTrials.gov sponsor search, pharma pipeline tracker, FDA drug approval cross-reference, clinical trial competitive intelligence, drug pipeline data API.

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Why this actor

Five existing ClinicalTrials scrapers on Apify all do the same thing: generic keyword search returning basic trial metadata. None of them cross-reference FDA approvals. This actor is different. It targets a specific pharma business development use case: given a sponsor (e.g. Pfizer, AstraZeneca) or condition (e.g. lung cancer), retrieve all completed and terminated trials, then flag which ones led to an FDA NDA/BLA approval. That cross-reference turns raw trial data into pipeline intelligence.

• Sponsor and condition filtering with phase and status control.
• FDA approval cross-reference — flags whether each trial's intervention was subsequently approved.
• Completed and terminated trials by default — the trials where outcomes are known.
• No API key — ClinicalTrials.gov API v2 + openFDA, both open.

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Input

Field	Type	Default	Description
sponsor	string	Pfizer	Sponsor name to search.
condition	string	—	Disease or condition.
phase	string	—	Comma-separated phases: PHASE1/2/3/4.
status	string	COMPLETED,TERMINATED	Enrollment statuses to include.
crossRefFDA	boolean	true	Cross-reference FDA drug approvals.
maxResults	integer	100	Max trials to return.

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Output

{
  "nct_id": "NCT02617797",
  "title": "A Study of Lorlatinib in ALK-Positive Non-Small Cell Lung Cancer",
  "phase": "PHASE 3",
  "overall_status": "COMPLETED",
  "start_date": "2016-04",
  "completion_date": "2022-06",
  "results_first_posted": "2023-01-10",
  "lead_sponsor": "Pfizer",
  "interventions": "DRUG:Lorlatinib",
  "fda_approved": true,
  "url": "https://clinicaltrials.gov/study/NCT02617797",
  "scraped_at": "2026-06-15T00:00:00.000Z"
}

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Pricing

First 25 trials free per account, then $0.008 per trial ($8 per 1,000). The premium price reflects the FDA cross-reference enrichment. Zero charge on empty runs.

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FAQ

Why is the price higher than the Bulk Exporter? This actor enriches each trial record with an FDA approval lookup — two API calls per trial instead of one. The result is intelligence, not just data.

How accurate is the FDA cross-reference? The actor matches the trial's first intervention name against FDA's drug approvals database by brand name. It is a signal, not a definitive confirmation — a true result means the drug name appeared in FDA approvals; manually verify the specific indication and approval date.

Can I use this without FDA cross-referencing? Yes — set crossRefFDA: false to retrieve trials without the FDA lookup step. This is faster and lower cost when you only need pipeline metadata.

Who uses this? Pharma business development teams tracking competitor pipeline outcomes; biotech investors assessing clinical stage companies; licensing teams identifying drugs with positive Phase 3 data; regulatory affairs professionals.

Can I search by collaborator instead of lead sponsor? The sponsor field searches both lead sponsors and collaborators on ClinicalTrials.gov. Enter a university, NIH institute, or CRO name to find trials where they appear in any sponsor role.

How do I find all terminated trials for a sponsor? Set status: TERMINATED and sponsor to the company name. Terminated trials with interventions that were never approved can surface pipeline failures — useful for competitive intelligence and due diligence.

Use in Claude, ChatGPT & any MCP agent

This actor is also a Model Context Protocol (MCP) server tool — call it directly from Claude, ChatGPT, Cursor, Windsurf, or any MCP-compatible AI agent. The agent only pays for results delivered (same pay-per-result model).

• Per-actor MCP endpoint: https://mcp.apify.com/?tools=themineworks/clinicaltrials-sponsor-intelligence
• Full Mine Works MCP server (all tools): https://the-mine-works-mcp.hatchable.site/api/mcp

// Call this actor as a tool via apify-client (Node)
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('themineworks/clinicaltrials-sponsor-intelligence').call({ /* input from the table above */ });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);