# Clinical Trials Landscape by Condition

**Use case:** 

Get a composed landscape brief for one or more diseases/conditions from ClinicalTrials.gov: how many trials match, the breakdown by phase and recruitment status, how many are recruiting now, the top sponsors, interventions and countries, median enrollment, and what started recently.

## Input

```json
{
  "conditions": [
    "pancreatic cancer",
    "NASH"
  ],
  "recentDays": 120,
  "maxTrialsPerQuery": 200,
  "includeAllTrials": false
}
```

## Output

```json
{
  "query": {
    "label": "Query"
  },
  "queryType": {
    "label": "Type"
  },
  "matchedTotal": {
    "label": "Matches",
    "format": "number"
  },
  "analyzed": {
    "label": "Analysed",
    "format": "number"
  },
  "recruitingOrUpcoming": {
    "label": "Recruiting+",
    "format": "number"
  },
  "byPhase": {
    "label": "By phase"
  },
  "byStatus": {
    "label": "By status"
  },
  "topSponsors": {
    "label": "Top sponsors"
  },
  "topInterventions": {
    "label": "Top interventions"
  },
  "medianEnrollment": {
    "label": "Median enroll",
    "format": "number"
  },
  "recentlyStarted": {
    "label": "Recent starts",
    "format": "number"
  },
  "recentlyUpdated": {
    "label": "Recent updates",
    "format": "number"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Clinical Trials Intelligence: Landscape Brief & Monitor Actor is ready to run with the inputs already set for "Clinical Trials Landscape by Condition". [Sign up or log in](https://console.apify.com/create-task-from-example/CsNhsGKHxSSA27ajG) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Clinical Trials Landscape by Condition" task

The Clinical Trials Intelligence: Landscape Brief & Monitor Actor will start running based on the input automatically. You can also change all the input fields, like 🩺 conditions / diseases, recent window (days), and more, to match your specific use case.

### 3. Receive the "Clinical Trials Landscape by Condition" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as query, type, matches, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Clinical Trials Landscape by Condition" task via API](https://apify.com/centorprat/clinical-trials-intelligence.md).

## About this Actor

This example demonstrates how to use [Clinical Trials Intelligence: Landscape Brief & Monitor](https://apify.com/centorprat/clinical-trials-intelligence.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/centorprat/clinical-trials-intelligence.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/centorprat/clinical-trials-intelligence.md

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`).