# List Profile Posts — Social Fetch

> Lists recent posts, videos, reels, or tweets for a profile. See the documentation

- Key: `social_fetch-list-profile-posts`
- Type: Action (Read-only)
- Version: 0.0.3
- App: Social Fetch (`social_fetch`) — https://pipedream.com/apps/social-fetch.md
- This page (HTML): https://pipedream.com/apps/social-fetch/actions/list-profile-posts
- Hints: read-only · open-world
- Source: https://github.com/PipedreamHQ/pipedream/blob/master/components/social_fetch/actions/list-profile-posts/list-profile-posts.mjs

## Description

Lists recent posts, videos, reels, or tweets for a profile. [See the documentation](https://www.socialfetch.dev/docs/api)

## Props

| Prop | Type | Required | Description |
|---|---|---|---|
| `platform` | `string` | Yes | Platform slug for the profile feed (string). E.g. tiktok, instagram, twitter, threads, facebook. |
| `contentType` | `string` | Yes | Feed content type (string). E.g. videos (TikTok), posts or reels (Instagram), tweets (Twitter), posts (Threads/Facebook). |
| `handle` | `string` | No | Username or handle without @ (string). Required for tiktok, instagram, twitter, and threads. E.g. nasa. |
| `profileUrl` | `string` | No | Full profile URL (string, https://). Required for facebook and linkedin. E.g. https://www.linkedin.com/in/janedoe/ |
| `cursor` | `string` | No | Pagination cursor from a previous response (data.page.nextCursor). |

## 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": "social_fetch",
      },
    },
  },
)

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: "social_fetch-list-profile-posts",
  arguments: {
    platform: "Platform",
    contentType: "Content 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: "social_fetch-list-profile-posts",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    social_fetch: { authProvisionId: "apn_xxxxxxx" },
    platform: "Platform",
    contentType: "Content 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": "social_fetch-list-profile-posts",
    "configured_props": {
      "social_fetch": { "authProvisionId": "apn_xxxxxxx" },
      "platform": "Platform",
      "contentType": "Content Type"
    }
  }'
```

---

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