# ClinicalTrials.gov Scraper & Monitor ($2/1K trials) (`wintersworks/clinical-trials-search-monitor`) Actor

Input: condition, drug, sponsor, location, status or phase filters. Output: flat ClinicalTrials.gov trial records with eligibility, outcomes, sites and contacts. $2 per 1,000 trials. Includes a new/updated-only monitor mode.

- **URL**: https://apify.com/wintersworks/clinical-trials-search-monitor.md
- **Developed by:** [Winters Works](https://apify.com/wintersworks) (community)
- **Categories:** Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 trial results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## ClinicalTrials.gov Search & Monitor

Search the official US National Library of Medicine **ClinicalTrials.gov** registry by condition, drug, sponsor, location, status, phase, study type and date range, and get clean, flat records ready for spreadsheets, CRMs and BI tools. Turn on **monitor mode** and a scheduled run returns only trials that are new or have been updated since the last run.

Data source: the free, public ClinicalTrials.gov API v2 operated by the U.S. National Library of Medicine (NLM). No scraping, no proxies, no API key.

### Who uses it

- **Pharma and biotech BD / competitive intelligence**: track competitor pipelines, new Phase 2/3 starts, terminated or withdrawn programs.
- **CROs and site networks**: find trials by sponsor, country and phase to target proposals.
- **Patient-recruitment firms**: list recruiting trials by condition and city, with eligibility and published central contacts.
- **Investors and analysts**: watch catalysts, enrollment and completion dates for a sponsor or drug.
- **Journalists and researchers**: build datasets of trials by condition, country or time period.

### Input

| Field | Description |
|---|---|
| condition | Disease or condition, e.g. `breast cancer` |
| intervention | Drug, device or procedure, e.g. `semaglutide` |
| sponsor | Lead sponsor or collaborator, e.g. `Pfizer` |
| country / state / city | Location filter |
| query | Free-text search with AND / OR / NOT |
| statuses | RECRUITING, NOT_YET_RECRUITING, COMPLETED, TERMINATED, ... |
| phases | EARLY_PHASE1, PHASE1, PHASE2, PHASE3, PHASE4, NA |
| studyType | INTERVENTIONAL, OBSERVATIONAL, EXPANDED_ACCESS or ANY |
| startDateFrom / startDateTo | Study start date range (YYYY-MM-DD) |
| updatedFrom / updatedTo | Last-update date range |
| maxResults | Default 20 |
| includeEligibilityText, eligibilityMaxChars | Include the full inclusion/exclusion text, optionally truncated |
| onlyNew | Emit only new or updated trials since the last run |

A run with empty input works and returns 20 diabetes trials.

#### Example: recruiting Phase 3 oncology trials in Germany

```json
{ "condition": "lung cancer", "statuses": ["RECRUITING"], "phases": ["PHASE3"], "country": "Germany", "maxResults": 200 }
```

#### Example: everything a sponsor registered or changed lately

```json
{ "sponsor": "Novo Nordisk", "updatedFrom": "2026-09-01", "maxResults": 500 }
```

### Output

One record per trial: `nctId`, `title`, `officialTitle`, `status`, `phase`, `studyType`, `conditions`, `interventions`, `sponsor`, `sponsorClass`, `collaborators`, `enrollment`, `startDate`, `primaryCompletionDate`, `completionDate`, `firstPosted`, `lastUpdate`, `briefSummary`, `locationsCount`, `countries`, `sites` (first 5), `eligibility` (age range, sex, healthy volunteers, age groups, optional criteria text), `primaryOutcomes`, `contacts` (central contacts as published by the registry), `officials`, `url`. Export as JSON, CSV, Excel, XML or via API.

### Monitoring and scheduling

1. Run once with `onlyNew: true` to record a baseline (all current matches are emitted).
2. Create an Apify **Schedule** (daily or weekly) with the same input.
3. Each later run emits only trials that are new or whose last-update date changed. Connect the dataset to Slack, email, Google Sheets or a webhook.

State is kept in a named key-value store (`clinical-trials-seen` by default), separately for each distinct search, so you can monitor many searches safely. Results are sorted by most recently updated first.

### Pricing

Pay per event: one `trial-result` event per trial returned (suggested about $2 per 1,000 trials). Trials skipped in monitor mode are not charged. You're never charged for failed or empty lookups, and the run's status message tells you why any input came back short. Set a max charge per run to cap spend; the Actor stops cleanly when the limit is reached.

### FAQ

**Is this the official data?** Yes. Records come directly from the public ClinicalTrials.gov API v2 (NLM / NIH). This Actor is not affiliated with or endorsed by NLM.

**Are the contact emails personal data?** They are the central contact details that sponsors publish in the public registry. Use them in line with applicable law (CAN-SPAM, GDPR) and avoid bulk unsolicited mailing.

**How many results can I get?** The API pages through the whole registry (over 500,000 studies). Set `maxResults` as needed.

**Why does a sponsor search return other sponsors?** The registry matches the term against sponsor and collaborator fields and its synonym index; check the `sponsor` and `collaborators` fields.

**Dates look partial.** The registry publishes some dates as `YYYY-MM` only; they are returned as published.

**Not medical advice.** Registry data is provided by sponsors and may be incomplete or outdated. Verify on clinicaltrials.gov before relying on it.

Built by Winters Works.

### Is it legal? (public data only)

Yes, in the sense that it only reads public or official data: the public ClinicalTrials.gov API v2. It does not log in, bypass paywalls or access private data. You remain responsible for how you use the results, including privacy, copyright and marketing laws. Not affiliated with or endorsed by the data sources.

### Quick start and cost

Run it with the prefilled input to see sample output in seconds; the default run costs only a few cents at most. Then adjust the input and schedule it.

### Use from code and AI agents

Call it from any language with the Apify API, or let an AI agent find and run it through the [Apify MCP server](https://mcp.apify.com).

```python
from apify_client import ApifyClient
run = ApifyClient("<YOUR_APIFY_TOKEN>").actor("wintersworks/clinical-trials-search-monitor").call(run_input={"condition": "diabetes", "maxResults": 20})
items = ApifyClient("<YOUR_APIFY_TOKEN>").dataset(run["defaultDatasetId"]).list_items().items
```

Results land in the run's dataset (JSON, CSV, Excel). Set a maximum charge per run in the run options to cap spend.

### About

Built and maintained by Winters Works. Questions or feature requests: open an issue on the Actor page or email wintersworks.shop@gmail.com.

### More from Winters Works

- [Bulk Email Verifier & MX Record Checker](https://apify.com/wintersworks/bulk-email-verifier-dns): clean an email list before you send. Syntax, MX lookup, disposable and role-address checks, no SMTP probing.
- [Greenhouse, Lever & Ashby Jobs API](https://apify.com/wintersworks/ats-job-board-feeds): every open role from company careers boards on 5 ATS platforms, normalized into one dataset.
- [iOS App Store Reviews Scraper](https://apify.com/wintersworks/appstore-reviews-scraper): pull App Store reviews and ratings for any app, with date, rating and keyword filters.
- [Website Tech Stack & SEO Audit](https://apify.com/wintersworks/website-tech-stack-seo-audit): see what a list of sites runs on, plus SEO basics, security headers, SSL expiry and a 0-100 score.
- [WHOIS & Domain Availability MCP Server](https://apify.com/wintersworks/domain-whois-mcp-server): give your AI agent domain lookups, expiry dates and availability checks over RDAP.

# Actor input Schema

## `condition` (type: `string`):

e.g. diabetes, breast cancer, Alzheimer's.

## `intervention` (type: `string`):

Drug, device or procedure name, e.g. semaglutide.

## `sponsor` (type: `string`):

e.g. Pfizer, National Cancer Institute.

## `country` (type: `string`):

e.g. United States, Germany.

## `state` (type: `string`):

State / province.

## `city` (type: `string`):

City.

## `query` (type: `string`):

Searches all fields. Supports AND / OR / NOT operators.

## `statuses` (type: `array`):

Leave empty for all statuses.

## `phases` (type: `array`):

Leave empty for all phases.

## `studyType` (type: `string`):

Study type.

## `startDateFrom` (type: `string`):

YYYY-MM-DD

## `startDateTo` (type: `string`):

YYYY-MM-DD

## `updatedFrom` (type: `string`):

YYYY-MM-DD

## `updatedTo` (type: `string`):

YYYY-MM-DD

## `maxResults` (type: `integer`):

Maximum trials to return (billed per result).

## `includeEligibilityText` (type: `boolean`):

Include full eligibility criteria text.

## `eligibilityMaxChars` (type: `integer`):

Truncate criteria text to this length (0 = no truncation).

## `onlyNew` (type: `boolean`):

Remembers NCT IDs and last-update dates between runs (per identical search) and emits only trials not seen before or updated since. Use with a schedule.

## `stateStoreName` (type: `string`):

Monitor state store name.

## Actor input object example

```json
{
  "condition": "diabetes",
  "intervention": "",
  "sponsor": "",
  "country": "",
  "state": "",
  "city": "",
  "query": "",
  "statuses": [],
  "phases": [],
  "studyType": "ANY",
  "startDateFrom": "",
  "startDateTo": "",
  "updatedFrom": "",
  "updatedTo": "",
  "maxResults": 20,
  "includeEligibilityText": false,
  "eligibilityMaxChars": 1500,
  "onlyNew": false,
  "stateStoreName": "clinical-trials-seen"
}
```

# Actor output Schema

## `results` (type: `string`):

All result items from the run's default dataset.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "condition": "diabetes",
    "maxResults": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("wintersworks/clinical-trials-search-monitor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "condition": "diabetes",
    "maxResults": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("wintersworks/clinical-trials-search-monitor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "condition": "diabetes",
  "maxResults": 20
}' |
apify call wintersworks/clinical-trials-search-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,wintersworks/clinical-trials-search-monitor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/zwhy6YctvjjtrqftQ/builds/ocgwuiLMOYcsz1pao/openapi.json