ClinicalTrials.gov Scraper: Studies, Sponsors & Sites

Search the world's largest clinical trials registry and get every study back as a flat, analysable row. Filter by condition, intervention, sponsor, location, phase, study type or recruitment status.

Two modes:

Mode	What you get
Search studies	Every study matching your filters, with status, phase, enrolment, sponsor, conditions, interventions, eligibility and site countries
Look up NCT IDs	Full records for a list of NCT identifiers

Why use this one

• Official NIH API only. This reads clinicaltrials.gov/api/v2, the endpoint the National Library of Medicine publishes for programmatic access. No HTML parsing, no key, no login, no terms-of-service grey area.
• The nesting is flattened for you. A raw study record buries every fact under protocolSection.someModule.someStruct.date. This Actor lifts the ones researchers actually filter on into plain columns: status, phases, enrollment, leadSponsor, minimumAge, countries. Drop it straight into Excel or a database.
• Proper token paging. The v2 API pages with an opaque token, not an offset. The Actor follows it to the end, so a search for 40,000 studies really returns 40,000 studies.
• Built for competitive and regulatory research. Track a competitor's pipeline by sponsor, find recruiting sites in your region, or watch a condition for newly posted trials.

How to use it

1. Choose What to collect.
2. Fill in at least one search field — Condition, Intervention, Sponsor, Location, Search term or a Recruitment status.
3. Click Start, then download results as JSON, CSV, Excel or HTML, or fetch them through the Apify API.

Example input: recruiting phase 3 diabetes trials

{
  "mode": "search",
  "condition": "diabetes",
  "statuses": ["RECRUITING"],
  "studyType": "interventional",
  "sort": "LastUpdatePostDate:desc",
  "maxResults": 1000
}

Example input: one sponsor's whole pipeline

{
  "mode": "search",
  "sponsor": "Novo Nordisk",
  "maxResults": 2000
}

Example input: look up specific studies

{
  "mode": "studyDetails",
  "nctIds": ["NCT02807935", "https://clinicaltrials.gov/study/NCT04280705"]
}

Output

Every item has type: "study". The dataset has ready-made Studies and Design and eligibility table views.

{
  "type": "study",
  "nctId": "NCT02807935",
  "title": "A Study of Metformin in Newly Diagnosed Type 2 Diabetes",
  "status": "COMPLETED",
  "studyType": "INTERVENTIONAL",
  "phases": ["PHASE3"],
  "enrollment": 420,
  "enrollmentType": "ACTUAL",
  "allocation": "RANDOMIZED",
  "primaryPurpose": "TREATMENT",
  "masking": "DOUBLE",
  "leadSponsor": "Sheba Medical Center",
  "leadSponsorClass": "OTHER",
  "conditions": ["Type 2 Diabetes"],
  "interventionTypes": ["DRUG"],
  "interventionNames": ["Metformin"],
  "sex": "ALL",
  "minimumAge": "18 Years",
  "maximumAge": "75 Years",
  "healthyVolunteers": false,
  "startDate": "2016-06-01",
  "completionDate": "2019-12-31",
  "locationCount": 3,
  "countries": ["Israel"],
  "hasResults": true,
  "url": "https://clinicaltrials.gov/study/NCT02807935"
}

Pricing

Pay only for results:

Result	Price
Study record	$10.00 per 1,000

Set a maximum spend per run in the run options and the Actor stops cleanly when it's reached.

Limits to know about

These come from the registry, not from this Actor:

• Up to 1,000 studies per page. The Actor follows the page token automatically, so the only real limit is your Max studies setting.
• Only the first five sites are listed per study, as a readable summary, alongside the full site count and the distinct countries. Studies with hundreds of sites would otherwise swamp a spreadsheet.
• hasResults tells you whether posted results exist, but this Actor returns the protocol record rather than the full results tables.
• Registry data is self-reported by sponsors. Dates, enrolment figures and statuses are only as current as the sponsor's last update, which lastUpdateDate tells you.
• Status filters use the registry's own vocabulary (RECRUITING, ACTIVE_NOT_RECRUITING, and so on). An unrecognised value stops the run with a message listing the valid ones.

FAQ

Do I need an account or API key? No. The ClinicalTrials.gov API is open and keyless.

Can I watch a condition for new trials? Yes. Schedule the Actor daily in Apify Console with sort set to LastUpdatePostDate:desc, and connect the dataset to Slack, Google Sheets, Zapier or Make.

What is an NCT ID? The registry's unique identifier for a study, always NCT followed by eight digits. Every row includes one plus a direct link.

Why is phases empty for some studies? Observational studies have no phase. The field is an array because some interventional studies span two, such as ["PHASE1", "PHASE2"].

Is this legal? Yes. ClinicalTrials.gov is a public US government registry and its API is published for exactly this purpose, with no authentication.

Feedback

Found a bug or need a field that's missing? Open an issue on the Actor's Issues tab.