ClinicalTrials.gov Trial Sites Scraper
Pricing
Pay per event
ClinicalTrials.gov Trial Sites Scraper
Export ClinicalTrials.gov studies as one row per recruiting facility/site with trial, sponsor, location, contact, eligibility, and date fields.
ClinicalTrials.gov Trial Sites Scraper
Pricing
Pay per event
Export ClinicalTrials.gov studies as one row per recruiting facility/site with trial, sponsor, location, contact, eligibility, and date fields.
You can access the ClinicalTrials.gov Trial Sites Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
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Leave empty for all statuses.", "items": { "type": "string", "enum": [ "RECRUITING", "NOT_YET_RECRUITING", "ACTIVE_NOT_RECRUITING", "COMPLETED", "ENROLLING_BY_INVITATION", "SUSPENDED", "TERMINATED", "WITHDRAWN", "UNKNOWN" ], "enumTitles": [ "Recruiting", "Not yet recruiting", "Active, not recruiting", "Completed", "Enrolling by invitation", "Suspended", "Terminated", "Withdrawn", "Unknown" ] } }, "phases": { "title": "Trial phases", "type": "array", "description": "Limit to selected phases. Leave empty for all phases.", "items": { "type": "string", "enum": [ "EARLY_PHASE1", "PHASE1", "PHASE2", "PHASE3", "PHASE4", "NA" ], "enumTitles": [ "Early Phase 1", "Phase 1", "Phase 2", "Phase 3", "Phase 4", "Not applicable" ] } }, "country": { "title": "Country", "type": "string", "description": "Optional facility country filter, e.g. United States, Canada, Germany." }, "state": { "title": "State / province", "type": "string", "description": "Optional facility state or province filter, e.g. California, Ontario." }, "city": { "title": "City", "type": "string", "description": "Optional facility city filter, e.g. Boston, Toronto, Berlin." }, "startDateFrom": { "title": "Start date from", "type": "string", "description": "Optional study start-date lower bound in YYYY-MM-DD or YYYY-MM format." }, "startDateTo": { "title": "Start date to", "type": "string", "description": "Optional study start-date upper bound in YYYY-MM-DD or YYYY-MM format." }, "lastUpdateFrom": { "title": "Last update from", "type": "string", "description": "Optional ClinicalTrials.gov last-update lower bound in YYYY-MM-DD or YYYY-MM format." }, "lastUpdateTo": { "title": "Last update to", "type": "string", "description": "Optional ClinicalTrials.gov last-update upper bound in YYYY-MM-DD or YYYY-MM format." }, "nctIds": { "title": "Specific NCT IDs", "type": "array", "description": "Optional list of NCT identifiers to export. 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It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for ClinicalTrials.gov Trial Sites Scraper from the options below:
If youβd like to learn more about how OpenAPI powers GPTs, read our blog post.
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