# Find SpaceX Starship Launch Viewers on X

**Use case:** 

Use X's public broadcast data to review audience interest in a SpaceX Starship launch. Returns concurrent and total viewer counts, a viewer-history graph when available, broadcast state, start time, and broadcaster username. Change broadcastIds to collect data for another broadcast.

## Input

```json
{
  "broadcastIds": [
    "https://x.com/i/broadcasts/1YGNrbPLejQGw"
  ],
  "includeViewerStats": true,
  "includeViewerTimeline": false,
  "maxViewerTimelinePoints": 0,
  "includeReplayVideo": false,
  "includeChatHistory": false,
  "maxChatMessages": 100,
  "includeThumbnail": true,
  "includeBroadcasterProfile": true
}
```

## Output

```json
{
  "type": {
    "label": "Type"
  },
  "title": {
    "label": "Title"
  },
  "state": {
    "label": "State"
  },
  "broadcaster.username": {
    "label": "Username"
  },
  "viewersNow": {
    "label": "Viewers now"
  },
  "viewersTotal": {
    "label": "Viewers total"
  },
  "startedAt": {
    "label": "Started at"
  },
  "url": {
    "label": "Url"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The X Broadcast Viewer History & Replay Link Scraper Actor is ready to run with the inputs already set for "Find SpaceX Starship Launch Viewers on X". [Sign up or log in](https://console.apify.com/create-task-from-example/5xEUpq4Q6Cr9e4fLB) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find SpaceX Starship Launch Viewers on X" task

The X Broadcast Viewer History & Replay Link Scraper Actor will start running based on the input automatically. You can also change all the input fields, like broadcast links, ids or broadcast posts, include viewer statistics, and more, to match your specific use case.

### 3. Receive the "Find SpaceX Starship Launch Viewers on X" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as type, title, state, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Find SpaceX Starship Launch Viewers on X" task via API](https://apify.com/dataspryva/x-broadcast-viewer-history-and-replay-link-scraper.md).

## FAQ

### How can I check X Starship launch viewer counts?

The X Starship viewer counts task takes a public broadcast link and returns X's concurrent and total viewer counts when available.

### Can I see viewer history for an X Starship launch?

The X Starship viewer counts task includes the viewer-history graph when X exposes it; the graph contains sampled counts, not invented points.

### What does the X Starship broadcast data include?

Each broadcast result in the X Starship viewer counts task can include its title, state, broadcaster username, viewer counts, start time and URL.

### What link do I need to check an X broadcast?

Paste a broadcast link or bare ID into the X Starship viewer counts task; the provided input is set to https://x.com/i/broadcasts/1YGNrbPLejQGw.

### How do I check viewer counts for a different X broadcast?

Replace the provided broadcast link in the X Starship viewer counts task with another broadcast link, bare ID, announcement post link or supported legacy Periscope link.

### How many X broadcast viewer results does one run return?

The X Starship viewer counts task accepts one or more broadcast links or IDs, with no per-run result limit specified.

### Can I schedule X Starship viewer count checks?

You can run the X Starship viewer counts task on an Apify Schedule, through the Apify API, or with integrations such as Zapier, Make and n8n.

### Can I download X Starship viewer count results?

Results from the X Starship viewer counts task can be downloaded as JSON, CSV, Excel, XML, RSS or an HTML table, or read through the Apify API.

## About this Actor

This example demonstrates how to use [X Broadcast Viewer History & Replay Link Scraper](https://apify.com/dataspryva/x-broadcast-viewer-history-and-replay-link-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/dataspryva/x-broadcast-viewer-history-and-replay-link-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/dataspryva/x-broadcast-viewer-history-and-replay-link-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).