ClinicalTrials.gov Scraper — Trials, Sponsors, Sites, Contacts

Search the US National Library of Medicine's trial registry the way you actually think about it — by condition, drug, sponsor, country, phase, status, start date or last update — and get a clean row per trial: title, status, phase, enrollment, sponsor and collaborators, conditions, interventions, all four key dates, eligibility, outcome measure and contact details. As JSON, CSV or Excel, or through the API.

Turn on one row per study site and every hospital running the trial comes with it: facility name, city, state, country, coordinates, its own recruiting status, the site contact's name, email and phone, and the principal investigator. One phase-3 oncology trial in a test run expanded into 229 sites; eight trials produced 1,189 site rows.

Data comes from the official API v2 — no key, no account, no scraping of HTML, and 200 trials per request.

Why this Actor

• Watch a pipeline, not a page. Updated since 7 days plus a sponsor or a drug returns only the trials whose record actually changed — the query a competitive-intelligence run is built on.
• Sites and their contacts, not just trials. Every participating centre with city, country, coordinates, its own recruiting status, contact email and principal investigator. Eight phase-3 trials expanded into 1,189 site rows in a test run.
• The registry's own API, not its HTML. Official API v2: no key, no account, 200 trials per request, and filters the website itself uses — phase, status, study type, start date, last update.
• Site rows cost a third of a trial row, so expanding a search into hundreds of centres stays cheap.

Sample output

One item of the dataset (long values shortened):

{
  "nctId": "NCT07671092",
  "title": "Imaging Study in Metastatic UC, HR+ and HER2- Breast Cancer, TNBC, and NSCLC",
  "status": "RECRUITING",
  "phase": "EARLY_PHASE1",
  "enrollment": 40,
  "sponsor": "RayzeBio, Inc.",
  "conditions": [
    "Metastatic Urothelial Carcinoma",
    "Breast Cancer",
    "TNBC - Triple-Negative Breast Cancer",
    "…"
  ],
  "startDate": "2026-06-15",
  "lastUpdateDate": "2026-09-29",
  "url": "https://clinicaltrials.gov/study/NCT07671092"
}

What you get

• The whole search surface of the registry: conditions, drugs and other interventions, sponsors, places, free text, recruitment status, phase, study type, "updated since" and "started since"
• Updated since 7 days is the competitive-intelligence query — it returns exactly the trials whose record changed, which is how you watch a rival's pipeline without reading the registry by hand
• Sites with contacts: the address, coordinates, status and named contact of every participating centre — the list CROs and site-selection teams build by hand
• One schema for both row types, so trials and sites land in the same spreadsheet and a type column tells them apart
• Sort by last update, newest, start date, enrollment size or relevance; cap sites per trial to keep a big search predictable
• Every row carries its NCT number and registry link

Input example

{
  "conditions": [
    "breast cancer"
  ],
  "statuses": [
    "RECRUITING"
  ],
  "sortBy": "last update",
  "includeSites": false,
  "maxSitesPerStudy": 0,
  "maxResults": 100
}

How much does it cost?

Pay per trial — no subscription, no minimum, no charge for platform usage.

Volume	Price
1,000 trials	$1.00 (+ $0.30 with site)
10,000 trials	$10.00 (+ $3.00 with site)
100,000 trials	$100.00 (+ $30.00 with site)

The Apify free plan includes $5 of usage every month — about 5,000 trials with this Actor, no card needed. Nothing else is charged: platform usage is included in the price, and Apify Bronze, Silver and Gold subscribers get 10%, 20% and 30% off these prices.

Use it from code, n8n, Make, Zapier or an AI agent

Run the Actor and download the dataset in one call (JSON by default; add &format=csv or xlsx):

curl -X POST "https://api.apify.com/v2/acts/chorelet~clinical-trials-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"conditions": ["breast cancer"], "statuses": ["RECRUITING"], "sortBy": "last update", "includeSites": false, "maxSitesPerStudy": 0, "maxResults": 100}'

Python:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("chorelet/clinical-trials-scraper").call(run_input={"conditions": ["breast cancer"], "statuses": ["RECRUITING"], "sortBy": "last update", "includeSites": false, "maxSitesPerStudy": 0, "maxResults": 100})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

• n8n, Make, Zapier — use the Apify node/module: run the Actor, then "get dataset items".
• Google Sheets, Slack, webhooks — add an integration on the run's Integrations tab.
• AI agents — the Actor is available as a tool through the Apify MCP server; the dataset schema describes every field for the model.
• Schedules — run it hourly, daily or weekly from the Schedules tab.

FAQ

Do I need an API key?

No. ClinicalTrials.gov publishes its API v2 openly — no key, no account, no proxy.

How do I watch a competitor's trials?

Put the company in Sponsors, set Updated since to 7 days and schedule the run daily. Every row that comes back is a record that changed since the last run.

What counts as a site row?

One participating hospital or clinic of a trial, with its address, coordinates, recruiting status, contact and investigator. Turn on Add one row per study site; a large phase-3 trial can list several hundred, so Max sites per trial caps them.

Can I search by drug?

Yes — Drugs or interventions searches the intervention fields, so semaglutide returns the trials testing it rather than every record that mentions it.

How far can one run go?

The registry returns 200 trials per request and the Actor pages through them; a 50,000-trial search is a few minutes of requests.

Is the data free to reuse?

ClinicalTrials.gov is a US government service and its records are in the public domain; check the registry's terms for how to credit it in a publication.

Support

Questions, missing fields or a source that changed? Open an issue on the Issues tab or write to support@chorelet.app — problems are usually fixed within a day, and the Actor is checked every morning by an automated test run. If the Actor saved you time, a short review on its Store page helps other people find it.