ClinicalTrials.gov Search: Trials, Sponsors & Sites

Search the official ClinicalTrials.gov registry (600,000+ studies worldwide) by condition, drug, sponsor, phase, recruitment status, country, city or distance, and get clean data: one row per study, or one row per trial site (hospital, clinic) with its location and contacts.

Official U.S. Government data, fetched live at every run.

What can you do with it?

• 🏥 Site selection & hospital prospecting (CROs, site networks, medtech): "every site of recruiting phase 3 breast cancer trials sponsored by industry in France", "recruiting diabetes trial sites within 30 km of New York".
• 📈 Competitive intelligence (pharma, biotech, investors): "all Novo Nordisk semaglutide trials", "phase 2 and 3 lung cancer trials by sponsor".
• 🆕 Weekly watch: schedule "industry trials first posted in the last 7 days" and get only the new ones.
• 🔎 Enrichment: turn a list of NCT numbers into full study records.

Why this Actor?

	This Actor	Typical ClinicalTrials.gov tools
One row per trial site, filtered to your area	✅ only the sites in your countries / cities / radius, and with your recruitment status	❌ the whole site list of every matching trial
Distance search	✅ latitude, longitude and radius	⚠️ rare
Sponsor type, phase, study type, dates	✅ industry vs academic, phases, new or updated since	⚠️
Countries by name or code	✅ "FR" or "France", all ClinicalTrials.gov spellings	❌
Clean, flat fields	✅ sponsor, phases, enrollment, dates, MeSH terms, ages, primary outcomes, site count, countries	⚠️ deeply nested JSON
Terms of use respected	✅ source and processing date in every row, no e-mail addresses (forbidden for marketing by ClinicalTrials.gov)	⚠️ often copied as is

Input

Field	Description	Example
conditions	Diseases or conditions	["lung cancer"]
interventions	Drugs, devices, procedures	["pembrolizumab"]
sponsors	Sponsors or collaborators	["Pfizer"]
keywords	Free text	"immunotherapy"
nctIds	Look up studies instead of searching	["NCT04368728"]
statuses	Recruitment status	["RECRUITING", "NOT_YET_RECRUITING"]
phases	EARLY_PHASE1 … PHASE4, NA	["PHASE3"]
studyTypes	Interventional, observational, expanded access	["INTERVENTIONAL"]
sponsorTypes	INDUSTRY, NIH, OTHER (universities, hospitals)…	["INDUSTRY"]
firstPostedWithinDays / firstPostedSince / updatedSince	New or updated trials	7
countries / cities	At least one site there	["FR"], ["Boston"]
latitude / longitude / radiusKm	At least one site within the radius	40.7128, -74.0060, 30
oneRowPerSite	One row per site instead of per study	true
includeEligibilityCriteria	Add the inclusion / exclusion criteria text	false
maxResults	Maximum rows	500

Output

One row per study (real example, shortened):

{
    "nctId": "NCT06731907",
    "title": "A Study of Pembrolizumab With or Without Chemotherapy in Combination With Additional Treatments for Advanced Non-Small Cell Lung Cancer (NSCLC) (MK-3475-01G/KEYMAKER U01)",
    "status": "RECRUITING",
    "phases": ["PHASE2"],
    "leadSponsor": "Merck Sharp & Dohme LLC",
    "leadSponsorType": "INDUSTRY",
    "siteCount": 41,
    "url": "https://clinicaltrials.gov/study/NCT06731907",
    "dataProcessedOn": "2026-10-02"
}

Study fields: officialTitle, acronym, whyStopped, studyType, conditions, conditionMeshTerms, keywords, interventions, interventionMeshTerms, collaborators, responsibleParty, enrollment, allocation, interventionModel, primaryPurpose, masking, startDate, primaryCompletionDate, completionDate, firstPosted, lastUpdated, hasResults, sex, minimumAge, maximumAge, healthyVolunteers, briefSummary, primaryOutcomes, centralContacts, overallOfficials, countries, sites (first 100).

One row per site (real example, recruiting diabetes trials near New York):

{
    "nctId": "NCT07142252",
    "facility": "Columbia University",
    "city": "New York",
    "country": "United States",
    "siteStatus": "RECRUITING",
    "contacts": [
        { "name": "Amy Doytchinov, BSN, RN", "role": "CONTACT", "phone": "212-851-5505" },
        { "name": "Jacqueline Lonier, MD", "role": "PRINCIPAL_INVESTIGATOR" }
    ]
}

Site rows also carry state, zip, latitude, longitude and the main study fields (title, status, phases, conditions, interventions, sponsor, enrollment, dates, URL).

Notes

• Contacts are given with name, role and phone. E-mail addresses are removed everywhere, including from free text: ClinicalTrials.gov's terms forbid using them for marketing.
• Data are reorganised into flat fields, not modified. Every row carries dataProcessedOn, the date ClinicalTrials.gov processed the data, as its terms require.
• With free-text criteria the results are sorted by relevance; with "first posted" dates, newest first.

Pricing

You pay per study, or per trial site in one-row-per-site mode (cheaper). Unknown NCT numbers are free. No subscription.

Results	Price
1 study	$0.002
100 studies	$0.20
1,000 studies	$2.00
1 trial site row	$0.001
100 trial site rows	$0.10
1,000 trial site rows	$1.00

A start fee of a fraction of a cent applies per run. Set a maximum cost per run and the Actor stops exactly at your budget.

Use it in your tools

• No code: run it from the Apify Console, download the results as Excel, CSV or JSON, and schedule it (daily, weekly…).
• Integrations: send the results to Google Sheets, Slack, email, webhooks, Make, Zapier or n8n with Apify's integrations.
• API: start runs and read the results with the Apify API or the official Python and JavaScript clients.
• AI agents: assistants and agents that support MCP can call this Actor as a tool through Apify's MCP server (mcp.apify.com).

Related Actors

• NPI Registry: US Healthcare Providers (Official NPPES): US doctors, dentists and clinics from the official NPI registry
• Federal Register Monitor: US Rules, Proposed Rules & Notices: US rules, proposed rules and notices (Federal Register)
• Grants.gov Search: US Federal Grant Opportunities: US federal grant opportunities (Grants.gov)

Source

ClinicalTrials.gov, a service of the U.S. National Library of Medicine (NIH): a U.S. Government database, free of charge. This Actor is independent and not affiliated with or endorsed by NLM or NIH.