# Search People — People Data Labs

> Find specific segments of people that you need to power your projects and products. See the docs here

- Key: `people_data_labs-search-people`
- Type: Action (Read-only)
- Version: 0.0.2
- App: People Data Labs (`people_data_labs`) — https://pipedream.com/apps/people-data-labs.md
- This page (HTML): https://pipedream.com/apps/people-data-labs/actions/search-people
- Hints: read-only · open-world
- Source: https://github.com/PipedreamHQ/pipedream/blob/master/components/people_data_labs/actions/search-people/search-people.mjs

## Description

Find specific segments of people that you need to power your projects and products. [See the docs here](https://docs.peopledatalabs.com/docs/reference-person-search-api)

## Props

| Prop | Type | Required | Description |
|---|---|---|---|
| `query` | `string` | Yes | The query to perform (can be an Elasticsearch or SQL query). Click the preferred query type for the documentation. |
| `queryType` | `string` | Yes | Which type of query is being used. |
| `size` | `integer` | No | The batch size or the maximum number of matched records to return for this query if they exist |
| `datasets` | `string[]` | No | Specifies which dataset(s) the API should search against. |
| `titlecase` | `boolean` | No | By default, all text in the response data returns as lowercase. Setting to true will titlecase any records returned. |
| `pretty` | `boolean` | No | Whether the output should have human-readable indentation. |

## Run it

**MCP**

```ts
import { Client } from "@modelcontextprotocol/sdk/client/index.js"
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js"
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const accessToken = await pd.rawAccessToken

const transport = new StreamableHTTPClientTransport(
  new URL("https://remote.mcp.pipedream.net/v3"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${accessToken}`,
        "x-pd-project-id": process.env.PIPEDREAM_PROJECT_ID!,
        "x-pd-environment": "production",
        "x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
        "x-pd-app-slug": "people_data_labs",
      },
    },
  },
)

const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)

const { tools } = await mcp.listTools()

// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
  name: "people_data_labs-search-people",
  arguments: {
    query: "Query",
    queryType: "Query Type",
  },
})
```

**TypeScript**

```ts
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const result = await pd.actions.run({
  id: "people_data_labs-search-people",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    people_data_labs: { authProvisionId: "apn_xxxxxxx" },
    query: "Query",
    queryType: "Query Type",
  },
})

console.log(result)
```

**cURL**

```bash
curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
  -H "Content-Type: application/json" \
  -H "X-PD-Environment: production" \
  -H "Authorization: Bearer {access_token}" \
  -d '{
    "external_user_id": "{external_user_id}",
    "id": "people_data_labs-search-people",
    "configured_props": {
      "people_data_labs": { "authProvisionId": "apn_xxxxxxx" },
      "query": "Query",
      "queryType": "Query Type"
    }
  }'
```

---

- App: https://pipedream.com/apps/people-data-labs.md · All apps: https://pipedream.com/apps