ClinicalTrials.gov Scraper API — Phase, Sponsor & Sites avatar

ClinicalTrials.gov Scraper API — Phase, Sponsor & Sites

Deprecated

Pricing

from $20.00 / 1,000 api queries

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ClinicalTrials.gov Scraper API — Phase, Sponsor & Sites

ClinicalTrials.gov Scraper API — Phase, Sponsor & Sites

Deprecated

Structured feed of ClinicalTrials.gov studies (API v2): condition, intervention, phase, sponsor, status, sites and enrollment. For pharma competitive intel, CROs, patient-recruitment and biotech research. Statutory sources that don't break.

Pricing

from $20.00 / 1,000 api queries

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Developer

K O

K O

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1

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22 days ago

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ClinicalTrials.gov Trial Registry Tracker – Clinical Trials API

A ClinicalTrials.gov API wrapper (API v2) and clinical-trial feed that pulls studies and normalizes each into a clean record: title, status, phase, study type, enrollment, conditions, interventions, lead sponsor, key dates and site countries. Use it to build a clinical-trial intelligence tool, a competitive-pipeline monitor, a patient-recruitment feed, or biotech/pharma research dashboards.

Who uses it

Pharma and biotech competitive-intelligence and portfolio teams, CROs, patient-recruitment companies, investors doing biotech diligence, and medical researchers.

Why this is worth charging for

Trial registrations reveal competitors' pipelines, enrollment status and site footprints in near-real time. The v2 API is powerful but deeply nested and token-paginated. This actor flattens studies into readable records and monitors new/updated trials for a condition, drug or sponsor on a schedule.

Output

Each dataset item is one normalized record:

{
"nctId": "NCT01234567",
"title": "A Study of DrugX in Condition Y",
"overallStatus": "RECRUITING",
"phases": [
"PHASE2"
],
"studyType": "INTERVENTIONAL",
"enrollment": 240,
"conditions": [
"Condition Y"
],
"interventions": [
"DrugX",
"Placebo"
],
"leadSponsor": "Acme Bio",
"sponsorClass": "INDUSTRY",
"startDate": "2024-01-15",
"lastUpdateDate": "2024-05-01",
"locationCount": 3,
"countries": [
"United States",
"Canada"
],
"url": "https://clinicaltrials.gov/study/NCT01234567",
"source": "ClinicalTrials.gov"
}

Input

FieldDescription
conditionDisease/condition query, e.g. 'non-small cell lung cancer'.
interventionDrug/intervention query, e.g. 'pembrolizumab'.
sponsorLead sponsor name query.
termAdditional free-text query across the study.
statusFilter by recruitment/overall status.
pageSizeStudies per page (max 1000).
maxPagesToScanPages per run.
onlyNewSinceLastRunRecommended for schedules — skips records already returned by a previous run using persisted state, so you're only charged for genuinely new items.
maxItemsStop after this many normalized records.

Pricing (Pay-Per-Event)

  • query — $0.02, charged once per run for the API query/poll.
  • study-record — $0.02 per normalized record pushed. This is the primary event.
  • apify-actor-start (Apify-managed) — covers baseline compute per run.

A condition/drug monitor returns tens of studies per run for a few cents to a dollar. With onlyNewSinceLastRun a schedule only bills newly-registered or updated trials.

Source & reliability

Data comes from the official clinicaltrials.gov/api/v2 service using token pagination. No API key or proxies required. Run npm test for the offline self-test covering the normalizer, including edge cases and missing-field handling.

FAQ

Is there an API for ClinicalTrials.gov?

Yes — this actor wraps the v2 API and returns clean, flattened study records via the Apify API, webhook or export.

Can I monitor a competitor's pipeline?

Yes. Set sponsor (and/or condition) and schedule with onlyNewSinceLastRun to catch new and updated trials.


Need the rest of the record on these companies?

This actor returns one source. KYB Company Data Enrichment takes a company name and returns what the public record says about it across up to nine sources — state business registries, UCC lien filings, tax warrants and WARN layoff notices, the FMCSA motor-carrier census, the CMS NPI Registry, USAspending federal awards, EPA ECHO compliance, SEC EDGAR filings and CourtListener federal dockets.

Every enriched field carries its source and its match confidence. Only matches above the accept threshold are merged — anything weaker is surfaced as a suggestion and never folded into the record, because a false join is worse than returning nothing.


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