ClinicalTrials.gov Studies Search (API v2) avatar

ClinicalTrials.gov Studies Search (API v2)

Pricing

$1.00 / 1,000 studies

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ClinicalTrials.gov Studies Search (API v2)

ClinicalTrials.gov Studies Search (API v2)

Search clinical trials by condition, intervention, sponsor, location and status: phases, enrollment, dates, sponsor class, collaborators, interventions, results flag, countries and summary. Bulk NCT lookup.

Pricing

$1.00 / 1,000 studies

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0.0

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Developer

CarrierDaily

CarrierDaily

Maintained by Community

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1

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a day ago

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Search clinical trials by condition, intervention, sponsor, location and status: phases, enrollment, dates, sponsor class, collaborators, interventions, results flag, countries and summary. Bulk NCT lookup.

Why this actor

  • $1/1k vs $12/1k incumbents; official v2 API.
  • Pay only for results: $1.00 per 1,000 studys, no start fee, failed lookups are free.
  • Robust: automatic retries with exponential backoff, respects Retry-After, per-item error rows instead of crashed runs.
  • Clean, flat JSON/CSV/Excel output ready for Google Sheets, Make, Zapier, n8n, Clay, or the Apify API.

Use cases

  • Pharma competitive intelligence
  • Patient-recruitment and site-selection research
  • Investor biotech pipeline tracking
  • Medical writing

Input

FieldTypeDescription
conditionstringe.g. 'breast cancer', 'obesity'.
interventionstringe.g. 'tirzepatide'.
sponsorstringe.g. 'Pfizer'.
termstringFree-text.
locationstringCity, state or country.
statusesarrayRECRUITING, NOT_YET_RECRUITING, ACTIVE_NOT_RECRUITING, COMPLETED, TERMINATED...
nctIdsarrayBulk lookup.
maxResultsintegerCap.
maxItemsinteger0 = no limit. Caps cost.

Example input:

{
"condition": "obesity",
"intervention": "tirzepatide",
"statuses": [
"RECRUITING"
],
"maxResults": 15
}

Output

Each dataset item looks like this (real sample from a test run, long fields trimmed):

{
"nctId": "NCT07107334",
"url": "https://clinicaltrials.gov/study/NCT07107334",
"title": "A Study to Estimate Early Clinical Efficacy Signals of GLP-1 Agonist Administration in Conjunction With Levonorgestrel Intrauterine Device in Obese Patients With Endometrioid Intraepithelial Neoplasia",
"officialTitle": "A Pilot Study to Estimate Early Clinical Efficacy Signals of a Glucagon-like Peptide 1 Receptor Agonist (GLP-1RA) Administration in Conjunction With Levonorgestrel Intrauterine Device (LNG-IUD) in Obese Patients With Endometrioid Intraepith\u2026",
"status": "RECRUITING",
"phases": [
"PHASE2"
],
"studyType": "INTERVENTIONAL",
"enrollment": 20,
"startDate": "2026-04-07",
"primaryCompletionDate": "2028-11",
"completionDate": "2029-11",
"lastUpdated": "2026-06-08",
"leadSponsor": "University of Florida",
"sponsorClass": "OTHER",
"collaborators": null,
"conditions": [
"Endometrioid Endometrial Adenocarcinoma"
],
"interventions": [
"DRUG: Glucagon-like peptide 1 receptor agonist"
],
"hasResults": false,
"locationsCount": 1,
"countries": [
"United States"
],
"briefSummary": "This study will explore the use of glucagon-like peptide 1 receptor agonist (GLP-1RA) used concurrently with levonorgestrel intrauterine device in patients with poor surgical candidacy for a hysterectomy or patients who are pursuing fertili\u2026",
"scrapedAt": "2026-10-14T16:30:09+00:00"
}

Rows that could not be processed contain an error field and are not charged.

Pricing

Pay-per-event: $0.001 per study (= $1.00 / 1,000). Use Max results to cap spend. Apify's free plan credit covers thousands of results per month.

Integrations & API

Run on a schedule in Apify Console, call via the Apify API / Python & JS clients, or connect to Make, Zapier, n8n, Google Sheets, Slack and webhooks. Works as a tool for AI agents via Apify MCP.

FAQ

Is this an official tool? No. It is an independent actor and is not affiliated with, sponsored or endorsed by the data source or any trademark owner named here.

Is it legal? The actor only reads publicly available data from public endpoints, without logins, and does not bypass paywalls or access controls. You are responsible for using the data in line with applicable laws (e.g. GDPR) and the source sites' terms.

Something broke? Open an issue in the Issues tab; we typically respond within 24 hours and ship fixes fast.