ClinicalTrials.gov Scraper

Pull complete study records from ClinicalTrials.gov at scale — titles, sponsors, conditions, interventions, eligibility criteria, every trial site, outcome measures, and registry dates, structured into one clean row per trial. Search the full 587,000+ -study US registry by condition, treatment, sponsor, or location, or fetch exact trials by NCT ID. Built for medical researchers, pharma competitive-intelligence teams, and patient-recruitment analysts who need a structured clinical-trials dataset without copying records off the registry one page at a time.

Why This Scraper?

• Covers the entire 587,000+ -study registry — search every interventional, observational, and expanded-access trial ClinicalTrials.gov holds, or pull the whole database in one run with maxResults: 0.
• Filter across all 14 recruitment statuses — Recruiting, Not yet recruiting, Enrolling by invitation, Active not recruiting, Completed, Suspended, Terminated, Withdrawn, and six more, shown as plain-English labels instead of raw registry codes.
• Six-bucket phase filter including NA — Early Phase 1 through Phase 4, plus the Not-applicable bucket that captures observational and behavioral studies most tools miss.
• Five free-text search axes that combine — keyword, condition, treatment/intervention, sponsor, and location work together to narrow a search instead of forcing one query box.
• Full eligibility detail on every trial — minimum and maximum age, eligible sex, healthy-volunteer flag, and the complete inclusion/exclusion criteria text.
• Every trial site, not just a count — facility name, city, state, ZIP, country, and per-site recruitment status for each location, plus enrollment count.
• Primary and secondary outcome measures — each with its measure name, description, and time frame, alongside official + brief titles, lead sponsor, sponsor class, and collaborating organizations.
• Direct fetch by NCT ID or study URL — paste known trials (e.g. NCT04368728) to skip search and pull exact records, with results-availability flag on each.

Use Cases

Medical & Academic Research

• Build structured datasets for systematic reviews and meta-analyses
• Track every trial for a condition across phase, sponsor, and status
• Capture full inclusion/exclusion criteria for evidence synthesis
• Pull primary and secondary outcome measures across a therapeutic area

Pharma Competitive Intelligence

• Monitor a competitor's pipeline by sponsor and phase
• Map the trial landscape for a drug, device, or mechanism of action
• Track new registrations sorted by most-recently-posted date
• Compare enrollment counts and collaborators across rival programs

Patient Recruitment & CRO Operations

• Find recruiting trials near a site by combining condition and location
• Filter to trials accepting healthy volunteers for early-phase recruitment
• Surface sites by facility, city, and state for feasibility outreach
• Identify Not-yet-recruiting trials to plan upcoming enrollment

Investment & Market Due Diligence

• Size a market by counting trials per condition, phase, and sponsor class
• Track a biotech's active programs and completion dates
• Flag trials with posted results for outcome-readiness signals
• Watch the most-recently-updated trials for pipeline movement

Getting Started

Search by Condition

The simplest way to start — one disease and a result cap:

{
    "condition": "breast cancer",
    "maxResults": 100
}

Recruiting Trials Near a Location

Combine a condition, a recruitment status, and a place:

{
    "condition": "diabetes",
    "location": "Boston",
    "status": ["RECRUITING"],
    "maxResults": 200
}

Fetch Specific Trials by NCT ID

Already know the trials you want? Paste IDs or study URLs:

{
    "studyUrls": [
        "NCT04368728",
        "https://clinicaltrials.gov/study/NCT04280705"
    ]
}

Full-Featured Search

Most filters populated, sorted by newest registration:

{
    "searchTerm": "immunotherapy melanoma",
    "intervention": "pembrolizumab",
    "sponsor": "Merck",
    "status": ["RECRUITING", "ACTIVE_NOT_RECRUITING"],
    "studyType": ["INTERVENTIONAL"],
    "phase": ["PHASE2", "PHASE3"],
    "sex": "ALL",
    "sortBy": "first_posted",
    "maxResults": 500
}

Input Reference

What to Search

Parameter	Type	Default	Description
searchTerm	string	""	Free-text keyword search across the whole trial record (e.g. "immunotherapy melanoma").
condition	string	""	Medical condition or disease studied (e.g. "diabetes", "breast cancer").
intervention	string	""	Treatment, drug, device, or procedure being tested (e.g. "aspirin", "insulin").
sponsor	string	""	Organization running the trial (e.g. "Pfizer", "National Cancer Institute").
location	string	""	Where the trial takes place — a city, state, or country (e.g. "Boston", "Germany").

Or Fetch Specific Trials

Parameter	Type	Default	Description
studyUrls	string[]	[]	Study URLs or NCT IDs to fetch directly (e.g. NCT04368728). When set, the search filters are ignored.

Filters

Parameter	Type	Default	Description
status	string[]	[]	Recruitment status — choose any of 14 (Recruiting, Completed, Terminated, etc.). Empty includes every status.
studyType	string[]	[]	Interventional, Observational, or Expanded access. Empty includes all types.
phase	string[]	[]	Early Phase 1, Phase 1–4, or Not applicable. Empty includes all phases.
sex	select	Any	Eligible sex: Any, Female, or Male.
healthyVolunteers	boolean	false	When on, only trials that accept healthy volunteers.

Output Options

Parameter	Type	Default	Description
sortBy	select	Best match (relevance)	Order results by relevance, most recently updated, most recently posted, or largest enrollment.
maxResults	integer	100	Most trials to return. Set to 0 to return every matching trial (can be hundreds of thousands — use with care).

Output

Each row is one complete trial record. Here's a representative result:

{
    "nctId": "NCT04368728",
    "briefTitle": "Study of a Candidate Vaccine Against COVID-19",
    "officialTitle": "A Phase 3, Randomized, Observer-Blind Study to Evaluate Efficacy of a Candidate Vaccine",
    "acronym": "COVE",
    "organization": "ModernaTX, Inc.",
    "overallStatus": "COMPLETED",
    "studyType": "INTERVENTIONAL",
    "phases": ["PHASE3"],
    "enrollmentCount": 30420,
    "leadSponsor": "ModernaTX, Inc.",
    "sponsorClass": "INDUSTRY",
    "collaborators": ["National Institute of Allergy and Infectious Diseases (NIAID)"],
    "conditions": ["COVID-19", "SARS-CoV-2 Infection"],
    "interventions": [
        { "type": "BIOLOGICAL", "name": "mRNA-1273", "description": "Two injections, 28 days apart" }
    ],
    "briefSummary": "This study evaluates the efficacy, safety, and immunogenicity of the candidate vaccine.",
    "sex": "ALL",
    "minimumAge": "18 Years",
    "maximumAge": null,
    "healthyVolunteers": true,
    "eligibilityCriteria": "Inclusion Criteria: Adults 18 years and older...",
    "startDate": "2020-07-27",
    "completionDate": "2022-10-20",
    "primaryCompletionDate": "2021-11-25",
    "firstPostedDate": "2020-04-30",
    "lastUpdatePostedDate": "2023-01-15",
    "locations": [
        { "facility": "Clinical Research Site", "city": "Atlanta", "state": "Georgia", "country": "United States", "status": "COMPLETED" }
    ],
    "primaryOutcomes": [
        { "measure": "Vaccine efficacy against COVID-19", "timeFrame": "Up to 2 years" }
    ],
    "secondaryOutcomes": [
        { "measure": "Number of participants with adverse events", "timeFrame": "Up to 28 days" }
    ],
    "hasResults": true,
    "url": "https://clinicaltrials.gov/study/NCT04368728",
    "scrapedAt": "2026-06-02T14:30:00Z"
}

Identity & Status

Field	Type	Description
nctId	string	NCT identifier (unique trial ID)
briefTitle	string	Short public title
officialTitle	string	Full official title
acronym	string	Study acronym
organization	string	Sponsoring organization name
overallStatus	string	Current recruitment status
studyType	string	Interventional, Observational, or Expanded access
phases	string[]	Trial phase(s)
url	string	Public study page URL
scrapedAt	string	ISO timestamp of extraction

Conditions, Interventions & Sponsors

Field	Type	Description
conditions	string[]	Conditions or diseases studied
interventions	object[]	Interventions — type, name, description, arm-group labels, and other names
leadSponsor	string	Lead sponsor name
sponsorClass	string	Sponsor class (NIH, INDUSTRY, OTHER, etc.)
collaborators	string[]	Collaborating organizations
enrollmentCount	integer	Number of participants enrolled

Eligibility & Description

Field	Type	Description
sex	string	Eligible sex (ALL, FEMALE, MALE)
minimumAge	string	Minimum eligible age (e.g. "18 Years")
maximumAge	string	Maximum eligible age
healthyVolunteers	boolean	Whether the trial accepts healthy volunteers
eligibilityCriteria	string	Full inclusion/exclusion criteria text
briefSummary	string	Brief plain-language summary
detailedDescription	string	Detailed description (when present)

Locations & Outcomes

Field	Type	Description
locations	object[]	Trial sites — facility, city, state, ZIP, country, and per-site status
primaryOutcomes	object[]	Primary outcome measures — measure, description, time frame
secondaryOutcomes	object[]	Secondary outcome measures — measure, description, time frame
hasResults	boolean	Whether study results have been posted

Dates

Field	Type	Description
startDate	string	Study start date
completionDate	string	Study completion date
primaryCompletionDate	string	Primary completion date
firstPostedDate	string	Date first posted on the registry
lastUpdatePostedDate	string	Date last updated on the registry

Tips for Best Results

• Start small — set maxResults to 50–100 on your first run to confirm the data matches your needs, then scale up or set 0 for everything.
• Combine condition and location to find recruiting trials near a site — pair condition, location, and status: ["RECRUITING"] for ready-to-contact feasibility lists.
• Use the Not-applicable phase to capture observational studies — phase filters apply to interventional drug and biologic trials, so include NA (Not applicable) to keep observational and behavioral studies in your results.
• Sort by most recently posted for pipeline monitoring — "sortBy": "first_posted" surfaces brand-new registrations first, ideal for competitive-intelligence alerts.
• Filter by sponsor class through the sponsor field — search a funder name like "National Cancer Institute" to isolate government-funded work, or a pharma name to map an industry pipeline.
• Skip search entirely for known trials — paste NCT IDs into studyUrls to pull exact records; the search filters are ignored in that mode.
• Layer filters to narrow large conditions — broad terms like "cancer" return tens of thousands of trials, so add phase, status, or study-type filters to focus the dataset.

Pricing

From $2.5 per 1,000 results — undercuts the going rate for full-registry clinical-trials extraction. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$0.30	$0.28	$0.27	$0.25
1,000	$3.00	$2.80	$2.65	$2.50
10,000	$30.00	$28.00	$26.50	$25.00
100,000	$300.00	$280.00	$265.00	$250.00

A "result" is any trial row in the output dataset. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom workflows on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

ClinicalTrials.gov is a public information resource provided by the U.S. National Library of Medicine, and the trial records it holds are public U.S. government data. This actor is designed for legitimate medical research, competitive analysis, patient-recruitment, and due-diligence use. You are responsible for complying with applicable laws and the ClinicalTrials.gov terms of use. Always verify clinical details against the official record before relying on them for medical or regulatory decisions.