ClinicalTrials.gov Scraper: New Clinical Trial Alerts
Pricing
$3.00 / 1,000 results
Search and monitor clinical trials from ClinicalTrials.gov, the official US registry. Filter by condition, drug, sponsor, phase, status and country. Flat JSON with sponsor, sites, contacts and enrollment. 'Only new' mode for daily new-trial alerts. No API key.
Disease or condition studied. Synonyms are matched automatically. Examples: 'lung cancer', 'type 2 diabetes', 'alzheimer'.
Treatment being tested. Examples: 'pembrolizumab', 'semaglutide', 'CAR-T'.
Company, university or agency running the trial. Examples: 'Pfizer', 'Mayo Clinic', 'National Cancer Institute'.
City, state or facility name where the study recruits. Example: 'Houston', 'Texas', 'MD Anderson'.
Only studies with a site in this country, e.g. 'United States', 'Germany', 'Japan'.
Leave empty for all statuses.
[ "RECRUITING", "NOT_YET_RECRUITING"]Interventional trials test a treatment; observational studies don't.
Only studies open to this group.
Only studies led by a company (pharma / biotech / device). Useful for sales and competitive intelligence.
Only studies that have published results.
Newly registered studies. 0 = off. Ignored if a start date is set.
Studies whose record changed recently (status, sites, results). 0 = off. Only used when 'First posted within' is 0.
YYYY-MM-DD. Applies to the field chosen under 'Date field'.
Which date the explicit start and end dates apply to.
Order of results. Matters when you set a low max results.
Adds a short list of study sites (up to 15) and the number of currently recruiting sites.
Adds the long inclusion/exclusion criteria text.
Remember which studies were already returned and output only new ones. Use with a daily Schedule + email/Slack/webhook integration.
Used with 'Only new'. 'New studies' alerts once per study. 'New or updated' also alerts again each time a study's record is updated (status change, results posted...). Pair that with 'Updated within last N days'.
Separate memory for 'only new' mode. Defaults to a key derived from your filters.