Clinical Trials Search — ClinicalTrials.gov to JSON
Pricing
$4.00 / 1,000 results
Clinical Trials Search — ClinicalTrials.gov to JSON
Search ClinicalTrials.gov by condition, drug or sponsor. Trial title, status, phase, sponsor, NCT id as JSON for pharma & biotech AI agents. $4 per 1,000, no coding.
Pricing
$4.00 / 1,000 results
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Hassan Hashish
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Search ClinicalTrials.gov by condition, drug or sponsor and get trial title, status, phase, sponsor and NCT id as JSON — $0.004 per trial.
Clinical trial activity is a leading signal of pharma and biotech pipelines. This actor turns a condition, drug, or sponsor into the matching registered studies, so healthcare, investment, and competitive-intelligence agents can read the trial landscape as structured data.
What this actor does
- Search ClinicalTrials.gov by condition, intervention/drug, or sponsor
- Each result: brief title, recruitment status, phase, lead sponsor, conditions, NCT id
- Open any study at clinicaltrials.gov/study/{nctId}
- Batch many terms per run; cap spend with maxResults
- Agent-ready: flat JSON with sourceUrl + scrapedAt for citation
You only pay for successful results — failed or empty lookups cost nothing.
Why pick this Actor
- Stable NCT IDs, recruiting status, sponsor, conditions, and phases via the official ClinicalTrials.gov v2 API
- Per-result pricing ($0.004/result) with a hard
maxResultsspend cap — empty lookups cost $0 - Flat, stable JSON schema with
sourceUrl+scrapedAton every item — citation-ready for RAG and grounding - Batch many queries in one run; overlapping results are deduplicated and charged once
- MCP server, OpenAPI schema, and LangChain/CrewAI tool support out of the box — no glue code
Sample output
Each dataset item is flat, typed JSON with a sourceUrl and scrapedAt for citation/grounding:
{"query": "diabetes","source": "clinical_trials","title": "Effect of Diet on Type 2 Diabetes","status": "COMPLETED","sponsor": "University Hospital","nctId": "NCT00471549","conditions": ["Diabetes Mellitus, Type 2"],"sourceUrl": "https://clinicaltrials.gov/api/v2/studies?query.term=diabetes","scrapedAt": "2026-06-11T09:00:00.000Z"}
Input
{"queries":["diabetes"]}
| Field | Type | Description |
|---|---|---|
queries / query | array / string | Condition, drug, or sponsor. One or many. |
maxResults | integer | Hard spend cap (billed per result). |
keywords / postedAfter | filters | Narrow results; enable delta/scheduled runs. |
How much does it cost
Pay-per-result: $0.004 per successful result. No subscription, no compute-unit guesswork, no charge for empty results. An orchestrator can cap spend with maxResults.
How to use it with AI agents (MCP), Claude, and the API
Claude Desktop / Claude Code via Apify MCP
{"mcpServers": {"apify": {"command": "npx","args": ["-y", "@apify/actors-mcp-server", "--actors", "oblanceolate_mandola/clinical-trials-search"],"env": { "APIFY_TOKEN": "<YOUR_APIFY_TOKEN>" }}}}
Python (Apify API)
from apify_client import ApifyClientclient = ApifyClient("<YOUR_APIFY_TOKEN>")run = client.actor("oblanceolate_mandola/clinical-trials-search").call(run_input={"queries":["diabetes"]})for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item)
TypeScript (Apify API)
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });const run = await client.actor('oblanceolate_mandola/clinical-trials-search').call({"queries":["diabetes"]});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(items);
LangChain / CrewAI tool
from langchain_apify import ApifyActorsTooltool = ApifyActorsTool("oblanceolate_mandola/clinical-trials-search") # agent calls it autonomously
OpenAPI schema for self-integrating GPT agents is auto-exposed at the Actor's API tab.
Data & compliance
Reads only publicly accessible endpoints. No login, no credential harvesting, no CAPTCHA bypass. Every result carries its sourceUrl so downstream agents can cite and re-verify.
FAQ
How do I open a study?
Each result includes its NCT id; the study page is clinicaltrials.gov/study/{nctId}.
Can I track a company’s pipeline?
Yes — search by sponsor name and schedule with postedAfter for new-trial alerts.
What is the source?
The official ClinicalTrials.gov v2 API (US National Library of Medicine).
Can AI agents call this Actor directly?
Yes — via the Apify MCP server (snippet above), the OpenAPI schema on the Actor's API tab, or the LangChain/CrewAI tool wrapper. Results are flat JSON with sourceUrl and scrapedAt on every item, so downstream agents can cite and re-verify.
What happens when there are no results?
You pay nothing. Billing is per dataset item delivered, so an empty lookup costs $0, and the run log states why (no match, source rate limit) instead of failing silently.
Changelog
- 1.0 — Initial release: clinical_trials.