# Fast Telegram Scraper — Messages, Media & Channels (`rbbscrap/fast-telegram-scraper`) Actor

Ultra-fast Telegram scraper to extract messages, views, photos, videos, and post links from public channels without phone login or bot setup on 256MB RAM.

- **URL**: https://apify.com/rbbscrap/fast-telegram-scraper.md
- **Developed by:** [Hector](https://apify.com/rbbscrap) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.25 / 1,000 message scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## ✈️ Fast Telegram Scraper: Public Channels, Messages & Media (No Login)

Extract messages, media, view counts, and publication timestamps from any public Telegram channel with **zero account login, zero phone numbers, and zero API keys**.

***

### ⚡ Points Forts & Avantages Clés (Reverse-Engineered vs Curious Coder & Tri_angle)

1. **Zero-API Key / No Phone Required :** Vous n'avez besoin d'aucun numéro de téléphone, d'aucun compte Telegram et d'aucun token Bot invasif.
2. **Extraction Médias & Vues Complète :** Récupère le texte complet, le compteur de vues réelles (`viewsCount`), les images et les liens sortants.
3. **Formaté pour l'IA (RAG & LLM Ready) :** Les messages sont automatiquement nettoyés et formatés en Markdown standard, prêts à être ingérés dans ChatGPT, Claude ou un Vector Store Pinecone.
4. **Pagination Historique Récursive :** Remonte automatiquement dans l'historique complet du canal via pagination récursive optimisée.
5. **Tarif 3x Moins Cher :** Curious Coder facture un abonnement de $50/mois ; nous proposons le **Pay-Per-Event à $0.80 / 1 000 messages**.

***

### 📥 Exemple d'Entrée (JSON)

```json
{
  "channels": [
    "https://t.me/durov"
  ],
  "maxMessagesPerChannel": 50,
  "formatAsMarkdown": true
}
```

***

### 📤 Exemple de Sortie (Dataset)

```json
{
  "channel": "durov",
  "messageId": "342",
  "messageUrl": "https://t.me/durov/342",
  "date": "2026-10-31T15:20:00+00:00",
  "text": "Telegram now has a Rich Text Editor. It supports tables, headings, inline media, lists, AI content...",
  "views": "1.2M",
  "mediaUrls": [],
  "scrapedAt": "2026-11-01T12:00:00.000Z"
}
```

# Actor input Schema

## `channels` (type: `array`):

Public channel usernames or URLs (e.g. 'durov', 'telegram', 'https://t.me/durov').

## `maxMessagesPerChannel` (type: `integer`):

Maximum number of messages to extract per channel.

## `formatAsMarkdown` (type: `boolean`):

Format message texts into clean Markdown ready for LLM / RAG embedding.

## Actor input object example

```json
{
  "channels": [
    "https://t.me/durov"
  ],
  "maxMessagesPerChannel": 100,
  "formatAsMarkdown": true
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "channels": [
        "https://t.me/durov"
    ],
    "maxMessagesPerChannel": 100,
    "formatAsMarkdown": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("rbbscrap/fast-telegram-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "channels": ["https://t.me/durov"],
    "maxMessagesPerChannel": 100,
    "formatAsMarkdown": True,
}

# Run the Actor and wait for it to finish
run = client.actor("rbbscrap/fast-telegram-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "channels": [
    "https://t.me/durov"
  ],
  "maxMessagesPerChannel": 100,
  "formatAsMarkdown": true
}' |
apify call rbbscrap/fast-telegram-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rbbscrap/fast-telegram-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/1l8AvQDpLfsYbhWHr/builds/fjwq9HioYtAsdMd6t/openapi.json