# Map site and country coverage for a trial

**Use case:** 

See how many sites a trial runs and which countries it recruits in, without opening each record on ClinicalTrials.gov one at a time.

## Input

```json
{
  "nctIds": [
    "NCT04368728",
    "NCT06625775"
  ],
  "testRun": false,
  "onlyFound": false,
  "includeKeywords": [],
  "excludeKeywords": [],
  "columns": [
    "nctId",
    "title",
    "locationCountries",
    "locationCount",
    "overallStatus"
  ],
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "query": {
    "label": "Study submitted",
    "format": "string"
  },
  "found": {
    "label": "Found?",
    "format": "boolean"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "message": {
    "label": "Details",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "nctId": {
    "label": "NCT ID",
    "format": "text"
  },
  "overallStatus": {
    "label": "Status",
    "format": "text"
  },
  "phase": {
    "label": "Phase",
    "format": "text"
  },
  "studyType": {
    "label": "Study type",
    "format": "text"
  },
  "startDate": {
    "label": "Start date",
    "format": "date"
  },
  "completionDate": {
    "label": "Completion date",
    "format": "date"
  },
  "enrollment": {
    "label": "Enrollment",
    "format": "number"
  },
  "leadSponsor": {
    "label": "Lead sponsor",
    "format": "text"
  },
  "conditions": {
    "label": "Conditions",
    "format": "array"
  },
  "interventions": {
    "label": "Interventions",
    "format": "array"
  },
  "locationCountries": {
    "label": "Location countries",
    "format": "array"
  },
  "locationCount": {
    "label": "Site count",
    "format": "number"
  },
  "briefSummary": {
    "label": "Summary",
    "format": "text"
  },
  "officialTitle": {
    "label": "Official title",
    "format": "text"
  },
  "scrapedAt": {
    "label": "Checked at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [ClinicalTrials.gov API — NIH Study Registry Search](https://apify.com/accountable_eel/clinicaltrials-study-lookup.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/accountable_eel/clinicaltrials-study-lookup.md) to learn more, explore other use cases, and run it yourself.


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

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
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- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/accountable_eel/clinicaltrials-study-lookup.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).