# Telegram Full History Crawl

**Use case:** 

Walk a public Telegram channel back through its whole message history — text, dates, view counts, media and forwards — into one clean dataset.

## Input

```json
{
  "scrapeMode": "crawl",
  "searchMode": "byChannel",
  "channels": [
    "telegram"
  ],
  "pages": 1,
  "maxResults": 25,
  "rotateProxy": false
}
```

## Output

```json
{
  "thumbnail": {
    "label": "🖼️ Thumbnail",
    "format": "string"
  },
  "id": {
    "label": "🆔 Message ID",
    "format": "string"
  },
  "message_id": {
    "label": "#️⃣ Numeric ID",
    "format": "integer"
  },
  "url": {
    "label": "🔗 Message URL",
    "format": "string"
  },
  "text": {
    "label": "📝 Message Text",
    "format": "string"
  },
  "date": {
    "label": "📅 Date",
    "format": "string"
  },
  "views": {
    "label": "👁️ Views",
    "format": "string"
  },
  "author": {
    "label": "✍️ Author",
    "format": "string"
  },
  "media": {
    "label": "🖼️ Media URLs",
    "format": "array"
  },
  "media_count": {
    "label": "📦 Media Count",
    "format": "integer"
  },
  "forwarded_from": {
    "label": "↪️ Forwarded From",
    "format": "string"
  },
  "reply_to": {
    "label": "💬 Reply To",
    "format": "string"
  },
  "channel": {
    "label": "📡 Channel",
    "format": "string"
  },
  "channel_title": {
    "label": "🏷️ Channel Title",
    "format": "string"
  },
  "channel_description": {
    "label": "📄 Channel Description",
    "format": "string"
  },
  "subscribers": {
    "label": "👥 Subscribers",
    "format": "string"
  },
  "photos_count": {
    "label": "📷 Photos Count",
    "format": "string"
  },
  "videos_count": {
    "label": "🎬 Videos Count",
    "format": "string"
  },
  "links_count": {
    "label": "🔗 Links Count",
    "format": "string"
  },
  "source": {
    "label": "🌐 Source",
    "format": "string"
  },
  "processedAt": {
    "label": "⏰ Processed At",
    "format": "string"
  },
  "scrapingDate": {
    "label": "📅 Scraping Date",
    "format": "string"
  },
  "status": {
    "label": "✅ Processing Status",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Telegram Channel Scraper — Messages, Views & Subscribers](https://apify.com/sian.agency/telegram-channel-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sian.agency/telegram-channel-scraper.md) 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`.
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/sian.agency/telegram-channel-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).