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⇱ ClinicalTrials.gov Scraper — trials by condition & phase · Apify

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ClinicalTrials.gov Scraper

Pricing

$4.00 / 1,000 result items

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ClinicalTrials.gov Scraper

Export clinical trials by condition, status and phase from ClinicalTrials.gov: NCT ID, title, sponsor, phase, enrollment, locations, interventions, dates. For pharma, CRO and research. Pay per result.

Pricing

$4.00 / 1,000 result items

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👁 ziv shay

ziv shay

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7 days ago

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Clinical trials scraper for ClinicalTrials.gov data — pull structured clinical trial data by condition, status, phase, sponsor, and location in one run.

Built for pharma and biotech business development, CROs, and medical researchers who need a current, structured view of the trial landscape for a disease area or competitor. This clinical trials scraper reads the official ClinicalTrials.gov API v2, so every study comes straight from the NIH-maintained registry of record.

No API key required. Give it a condition (and optionally a drug, sponsor, or keyword) and filter by recruitment status — get back NCT IDs, titles, conditions, phase, study type, lead sponsor, enrollment, dates, and location counts as clean ClinicalTrials.gov data.

What you get

FieldDescription
nctIdClinicalTrials.gov registry identifier (NCT number)
titleStudy title
conditionsArray of conditions / diseases studied
overallStatusOverall recruitment status (e.g. RECRUITING, COMPLETED)
phaseTrial phase (e.g. PHASE2, PHASE3)
studyTypeStudy type (e.g. INTERVENTIONAL, OBSERVATIONAL)
leadSponsorLead sponsor organization
enrollmentCountTarget or actual enrollment count
startDateStudy start date
completionDateStudy completion (or estimated completion) date
locationCountNumber of study locations
leadLocationCountryCountry of the primary study location
urlDirect link to the study page on ClinicalTrials.gov

Input

FieldTypeDefaultDescription
conditionstring"diabetes"Required. Condition / disease to search
termsstring—Optional free-text term (drug, sponsor, keyword)
statusarray of enums["RECRUITING"]One or more of: RECRUITING, NOT_YET_RECRUITING, ENROLLING_BY_INVITATION, ACTIVE_NOT_RECRUITING, SUSPENDED, TERMINATED, COMPLETED, WITHDRAWN
maxItemsinteger500Max studies to return

Example input

{
"condition":"diabetes",
"terms":"semaglutide",
"status":["RECRUITING","NOT_YET_RECRUITING"],
"maxItems":500
}

Example run output

{
"nctId":"NCT05731674",
"title":"A Study of Semaglutide in Adults With Type 2 Diabetes and Obesity",
"conditions":["Type 2 Diabetes Mellitus","Obesity"],
"overallStatus":"RECRUITING",
"phase":"PHASE3",
"studyType":"INTERVENTIONAL",
"leadSponsor":"Novo Nordisk A/S",
"enrollmentCount":1240,
"startDate":"2023-04-18",
"completionDate":"2026-09-30",
"locationCount":86,
"leadLocationCountry":"United States",
"url":"https://clinicaltrials.gov/study/NCT05731674"
}

Use cases

  • Pharma and biotech BD teams tracking competitor pipelines and recruiting trials in a disease area.
  • CROs sizing the trial landscape and identifying active sponsors for partnership outreach.
  • Biotech market intelligence monitoring phase, enrollment, and status shifts across a condition.
  • Medical researchers assembling a structured dataset of trials by condition for review or analysis.

vs Citeline / Informa trial-intelligence

Citeline and Informa trial-intelligence products are enterprise-priced subscriptions. This clinical trials scraper pulls the same official ClinicalTrials.gov registry data the registry publishes — pay per result, no subscription.

Honest caveat: this is registry data only, not Citeline's curated analyst overlay (de-duplicated drug programs, competitive read-throughs, hand-coded outcomes). If you need the analyst layer, that's a paid product. If you need accurate, current registry facts at scale, this is it.

Pricing

Pay per result — billed only for the studies returned, no subscription.

Keywords

clinical trials scraper, ClinicalTrials.gov data, clinical trial data by condition, clinical trials API, trial pipeline data, recruiting clinical trials, clinical trial sponsor data, NCT data scraper, biotech trial intelligence, clinical trial dataset

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