# Fetch Subtitles Data — Amara

> Fetch subtitles data. See the docs here

- Key: `amara-fetch-subtitles-data`
- Type: Action (Write)
- Version: 0.0.3
- App: Amara (`amara`) — https://pipedream.com/apps/amara.md
- This page (HTML): https://pipedream.com/apps/amara/actions/fetch-subtitles-data
- Hints: destructive · open-world
- Source: https://github.com/PipedreamHQ/pipedream/blob/master/components/amara/actions/fetch-subtitles-data/fetch-subtitles-data.mjs

## Description

Fetch subtitles data. [See the docs here](https://apidocs.amara.org/#fetch-subtitles-data)

## Props

| Prop | Type | Required | Description |
|---|---|---|---|
| `team` | `string` | No | Filter by team (e.g. amplify in https://amara.org/en/teams/amplify/). Leave blank for videos that are in the public area. |
| `videoId` | `string` | Yes | Video ID as the Amara video identifier Options are loaded from the connected account. |
| `language` | `string` | Yes | Language code for the language of the subtitles (ISO 639-1 two-letter code) Options are loaded from the connected account. |
| `versionNumber` | `integer` | No | Version number of the subtitles to fetch. Versions are listed in the VideoLanguageResouce request. If none is specified, the latest public version will be returned. If you want the latest private version (and have access to it) use “last”. Options are loaded from the connected account. |
| `subFormat` | `string` | No | The format to return the subtitles in. This can be any format that amara supports including dfxp, srt, vtt, and sbv. The default is json, which returns subtitle data encoded list of json dicts. Options are loaded from the connected account. |

## 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": "amara",
      },
    },
  },
)

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: "amara-fetch-subtitles-data",
  arguments: {
    team: "Team",
    videoId: "Video ID",
  },
})
```

**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: "amara-fetch-subtitles-data",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    amara: { authProvisionId: "apn_xxxxxxx" },
    team: "Team",
    videoId: "Video ID",
  },
})

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": "amara-fetch-subtitles-data",
    "configured_props": {
      "amara": { "authProvisionId": "apn_xxxxxxx" },
      "team": "Team",
      "videoId": "Video ID"
    }
  }'
```

---

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