# Telegram channel posts from the last 24 hours

**Use case:** 

Returns everything public Telegram channels posted in the last day: text, time, view count, media types, reactions and link. The example reads the Bloomberg and New York Times channels; list the channels you follow and schedule it daily for a digest.

## Input

```json
{
  "channels": [
    "bloomberg",
    "nytimes"
  ],
  "maxPostsPerChannel": 60,
  "postedWithinDays": 1,
  "includeHtml": false,
  "includeAuthorSignature": false,
  "maxResults": 100,
  "onlyNew": false
}
```

## Output

```json
{
  "channel": {
    "label": "Channel",
    "format": "text"
  },
  "postId": {
    "label": "Post",
    "format": "number"
  },
  "postedAt": {
    "label": "Posted",
    "format": "date"
  },
  "views": {
    "label": "Views",
    "format": "number"
  },
  "text": {
    "label": "Text",
    "format": "text"
  },
  "mediaTypes": {
    "label": "Media",
    "format": "array"
  },
  "reactionsTotal": {
    "label": "Reactions",
    "format": "number"
  },
  "url": {
    "label": "Link",
    "format": "link"
  }
}
```

## How it works

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

The Telegram Channel Scraper: Posts, Views, Media & Reactions Actor is ready to run with the inputs already set for "Telegram channel posts from the last 24 hours". [Sign up or log in](https://console.apify.com/create-task-from-example/bqklyi8E4ON0jv1l1) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Telegram channel posts from the last 24 hours" task

The Telegram Channel Scraper: Posts, Views, Media & Reactions Actor will start running based on the input automatically. You can also change all the input fields, like channels, newest posts to read per channel, and more, to match your specific use case.

### 3. Receive the "Telegram channel posts from the last 24 hours" 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 channel, post, posted, 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 "Telegram channel posts from the last 24 hours" task via API](https://apify.com/localwire/telegram-channels.md).

## FAQ

### What does the "Telegram channel posts from the last 24 hours" task return?

The "Telegram channel posts from the last 24 hours" task returns one record per post: channel, post id, time, view count, text, media types, reaction total and post link. No members or commenters.

### Can the 24-hour Telegram posts task cover a longer period?

Yes. Raise postedWithinDays in the Telegram posts from the last 24 hours task, for example to 7 for a week, and raise maxPostsPerChannel to match.

### How do I run the "Telegram channel posts from the last 24 hours" task on a schedule or from code?

Copy the "Telegram channel posts from the last 24 hours" task to your Apify account, then add a schedule in Apify Console or start it with the Run task API endpoint. Results download as JSON, CSV or Excel.

## About this Actor

This example demonstrates how to use [Telegram Channel Scraper: Posts, Views, Media & Reactions](https://apify.com/localwire/telegram-channels.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/localwire/telegram-channels.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/localwire/telegram-channels.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`).