# Monitor multiple brand X timelines in one run

**Use case:** 

Collect a normalized public timeline feed for OpenAI, AnthropicAI, and GoogleDeepMind for scheduled brand monitoring workflows.

## Input

```json
{
  "usernames": [
    "OpenAI",
    "AnthropicAI",
    "GoogleDeepMind"
  ],
  "startUrls": [
    {
      "url": "https://x.com/Apify"
    }
  ],
  "maxItems": 30,
  "includeReplies": false,
  "includeReposts": false,
  "requestDelayMs": 750
}
```

## Output

```json
{
  "sourceUsername": {
    "label": "Requested profile",
    "format": "string"
  },
  "authorUsername": {
    "label": "Author",
    "format": "string"
  },
  "text": {
    "label": "Tweet",
    "format": "string"
  },
  "createdAt": {
    "label": "Posted",
    "format": "string"
  },
  "replyCount": {
    "label": "Replies",
    "format": "integer"
  },
  "repostCount": {
    "label": "Reposts",
    "format": "integer"
  },
  "likeCount": {
    "label": "Likes",
    "format": "integer"
  },
  "viewCount": {
    "label": "Views",
    "format": "integer"
  },
  "mediaUrls": {
    "label": "Media",
    "format": "array"
  },
  "isReply": {
    "label": "Reply",
    "format": "boolean"
  },
  "isRepost": {
    "label": "Repost",
    "format": "boolean"
  },
  "url": {
    "label": "Source",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [X User Timeline Tweets Scraper](https://apify.com/automation-lab/x-user-timeline-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/x-user-timeline-scraper) 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`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **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/automation-lab/x-user-timeline-scraper.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).