ClinicalTrials.gov Updates Tracker — by Query avatar

ClinicalTrials.gov Updates Tracker — by Query

Pricing

$5.00 / 1,000 clinicaltrials.gov trial extracteds

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ClinicalTrials.gov Updates Tracker — by Query

ClinicalTrials.gov Updates Tracker — by Query

Pull recently-updated ClinicalTrials.gov studies matching a query. One clean row per trial — NCT id, title, status, phases, sponsor, conditions, key dates, locations, study URL. Filter on lastUpdatePostDate for cron-friendly daily watchers. Source: ClinicalTrials.gov v2 API (free, no auth).

Pricing

$5.00 / 1,000 clinicaltrials.gov trial extracteds

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vøiddo

vøiddo

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3 days ago

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Pull recently-updated ClinicalTrials.gov studies matching any query. One clean row per trial — NCT id, title, status, phases, sponsor, conditions, key dates, locations, study URL.

Built for cron: pass sinceDays: 1 and get yesterday's status changes for your watchlist. No auth, no scraping — uses ClinicalTrials.gov's free v2 JSON API.

Inputs

{
"queries": ["lung cancer", "GLP-1"],
"sinceDays": 1,
"statusFilter": ["RECRUITING", "ACTIVE_NOT_RECRUITING"]
}
inputdefaultnotes
queriesRequired. Same syntax as the CT.gov search box. Multi-term = union.
sinceDays7lastUpdatePostDate >= now-sinceDays. Use 1 for daily cron.
statusFilterallOverall-status whitelist (RECRUITING, COMPLETED, TERMINATED, ...).
maxResultsPerQuery1000Hard cap per query.

Output

One row per study:

fieldexample
nctIdNCT04567890
briefTitleA Phase 3 Study of ...
officialTitle(longer title)
overallStatusRECRUITING
phases["PHASE3"]
studyTypeINTERVENTIONAL
leadSponsorPfizer Inc.
collaborators["NCI", "..."]
conditions["Non-Small Cell Lung Cancer"]
interventions[{"type": "DRUG", "name": "..."}]
startDate2024-09
primaryCompletionDate2026-12
completionDate2027-06
lastUpdatePostDate2026-05-31
enrollment450
locations[{"facility": "...", "city": "...", "country": "..."}]
querythe originating query (helps when you batch)
studyUrlhttps://clinicaltrials.gov/study/NCT04567890

Daily cron pattern

{ "queries": ["GLP-1", "obesity"], "sinceDays": 1 }

Schedule every morning. Each run yields just yesterday's updated trials matching your watch.

What it doesn't do

  • No result-section enrichment (results posted later, schema is heavy — separate actor).
  • No FDA approval cross-reference — different DB, separate actor.
  • No prediction / sentiment — raw metadata only.

Maintained by

vøiddo studio — small independent shop.