# List Responses — Survicate

> Fetches the list of responses for a specific survey identified by its unique ID. See the documentation

- Key: `survicate-list-responses`
- Type: Action (Read-only)
- Version: 0.0.1
- App: Survicate (`survicate`) — https://pipedream.com/apps/survicate.md
- This page (HTML): https://pipedream.com/apps/survicate/actions/list-responses
- Hints: read-only · open-world
- Source: https://github.com/PipedreamHQ/pipedream/blob/master/components/survicate/actions/list-responses/list-responses.mjs

## Description

Fetches the list of responses for a specific survey identified by its unique ID. [See the documentation](https://developers.survicate.com/data-export/response/)

## Props

| Prop | Type | Required | Description |
|---|---|---|---|
| `surveyId` | `string` | Yes | The ID of the survey Options are loaded from the connected account. |
| `itemsPerPage` | `integer` | No | The number of items to display per page in the response. The minimum value is 1, and the maximum is 100. |
| `start` | `string` | No | Optional start timestamp for filtering responses. Responses collected before this timestamp will be included. Format: ISO 8601 with microseconds (e.g., 2023-01-01T00:00:00.000000Z). |
| `end` | `string` | No | Optional end timestamp for filtering responses. Responses collected after this time will be included. Format: ISO 8601 with microseconds (e.g., 2023-01-01T00:00:00.000000Z). |

## 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": "survicate",
      },
    },
  },
)

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: "survicate-list-responses",
  arguments: {
    surveyId: "Survey",
    itemsPerPage: 10,
  },
})
```

**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: "survicate-list-responses",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    survicate: { authProvisionId: "apn_xxxxxxx" },
    surveyId: "Survey",
    itemsPerPage: 10,
  },
})

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": "survicate-list-responses",
    "configured_props": {
      "survicate": { "authProvisionId": "apn_xxxxxxx" },
      "surveyId": "Survey",
      "itemsPerPage": 10
    }
  }'
```

---

- App: https://pipedream.com/apps/survicate.md · All apps: https://pipedream.com/apps