# Telegram Channel Scraper — No API, No Login (`javiervinus/telegram-channel-scraper`) Actor
Scrape posts from public Telegram channels: text, views, dates, media, forwards and link previews. Keyword filtering and date limits built in. No Telegram API keys or account needed.
- **URL**: https://apify.com/javiervinus/telegram-channel-scraper.md
- **Developed by:** [Javier Vinueza](https://apify.com/javiervinus) (community)
- **Categories:** Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.00 / 1,000 post scrapeds
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
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).
# README
## Telegram Channel Scraper — No API, No Login
Scrape posts from any **public Telegram channel** in seconds. No Telegram API keys, no phone number, no account, no MTProto setup — this Actor reads the official public web preview (`t.me/s/...`), so you just paste channel names and get clean, structured JSON back.
### What does it do?
Give it one or more public channels and it collects the latest posts (newest first) with:
- ✅ Full **post text** and direct **post URL**
- ✅ **Publication date** (ISO 8601) and **view count** (parsed to a number: `1.68M` → `1680000`)
- ✅ **Forwarded-from** attribution (channel name + link)
- ✅ **Media flags**: photo URLs, video presence + thumbnail, document names, poll questions
- ✅ **Link previews** (URL, title, description) and all **outbound links** in the text
- ✅ Built-in **keyword filter** (case-insensitive) — pay only for posts that match
- ✅ **Date limit** (`postedAfter`) — the crawl stops paginating at older posts, keeping runs fast and cheap
### Use cases
- **Brand & topic monitoring** — track mentions of your product, competitors, or keywords across news and community channels.
- **Crypto / financial signals** — collect posts from trading and announcement channels into a dataset your pipeline (or AI agent) can consume.
- **OSINT & research** — archive public channels with dates, views, and forward provenance.
- **News aggregation** — turn Telegram channels into a structured feed for your app, dashboard, or newsletter.
- **AI agents (MCP)** — this Actor works out of the box as an MCP tool via the Apify MCP server, so LLM agents can query Telegram channels on demand.
### Input
| Field | Type | Description |
|---|---|---|
| `channels` | array | Usernames or URLs: `durov`, `@durov`, `https://t.me/durov` |
| `maxPostsPerChannel` | integer | Max posts per channel, newest first (default `100`) |
| `keywords` | array | Keep only posts containing at least one keyword (optional) |
| `postedAfter` | date | Keep only posts on/after this date; stops pagination early (optional) |
| `proxyConfiguration` | object | Apify Proxy settings (optional) |
### Output example
```json
{
"channel": "telegram",
"id": 431,
"url": "https://t.me/telegram/431",
"date": "2026-03-02T17:33:52+00:00",
"text": "Telegram now supports...",
"views": 1680000,
"forwardedFrom": null,
"media": {
"photos": ["https://cdn4.telesco.pe/file/..."],
"hasVideo": false,
"videoThumb": null,
"document": null,
"poll": null
},
"linkPreview": {
"url": "https://telegram.org/blog/...",
"title": "Telegram Blog",
"description": "..."
},
"links": ["https://telegram.org/blog/..."],
"scrapedAt": "2026-07-10T15:04:05.000Z"
}
````
### Limitations (please read)
- Only **public channels with a web preview** work. Private channels, private groups, and channels whose owners disabled the preview cannot be scraped — the Actor logs a clear warning for those.
- The web preview does not expose comments/replies or subscriber-only content.
- Reactions are not included in the public preview markup.
### Pricing
This Actor uses **pay-per-event** pricing: you are charged a small fee per scraped post that is actually delivered to your dataset. Posts filtered out by your keywords or date limit are **not** charged. Set a maximum budget on any run with the standard Apify charge limit.
### Support
Found a bug or need a field that is missing? Open an issue on the Actor's **Issues** tab — issues are typically answered within 24 hours.
# Actor input Schema
## `channels` (type: `array`):
Public channel usernames or URLs. Accepted formats: durov, @durov, https://t.me/durov, https://t.me/s/durov.
## `maxPostsPerChannel` (type: `integer`):
Stop after collecting this many posts per channel, counting from the newest.
## `keywords` (type: `array`):
Only keep posts whose text contains at least one of these words or phrases (case-insensitive). Leave empty to keep every post.
## `postedAfter` (type: `string`):
Only keep posts published on or after this date (UTC). The crawl stops paginating once older posts are reached, which keeps runs fast and cheap.
## `proxyConfiguration` (type: `object`):
Proxy to use. Telegram's public preview is tolerant, but enable Apify Proxy if you scrape many channels frequently.
## Actor input object example
```json
{
"channels": [
"telegram"
],
"maxPostsPerChannel": 100,
"proxyConfiguration": {
"useApifyProxy": 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"channels": [
"telegram"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("javiervinus/telegram-channel-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "channels": ["telegram"] }
# Run the Actor and wait for it to finish
run = client.actor("javiervinus/telegram-channel-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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": [
"telegram"
]
}' |
apify call javiervinus/telegram-channel-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=javiervinus/telegram-channel-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Telegram Channel Scraper — No API, No Login",
"description": "Scrape posts from public Telegram channels: text, views, dates, media, forwards and link previews. Keyword filtering and date limits built in. No Telegram API keys or account needed.",
"version": "0.1",
"x-build-id": "lwyM0BdjNsxYtadNu"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/javiervinus~telegram-channel-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-javiervinus-telegram-channel-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/javiervinus~telegram-channel-scraper/runs": {
"post": {
"operationId": "runs-sync-javiervinus-telegram-channel-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/javiervinus~telegram-channel-scraper/run-sync": {
"post": {
"operationId": "run-sync-javiervinus-telegram-channel-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"channels"
],
"properties": {
"channels": {
"title": "Channels",
"type": "array",
"description": "Public channel usernames or URLs. Accepted formats: durov, @durov, https://t.me/durov, https://t.me/s/durov.",
"items": {
"type": "string"
}
},
"maxPostsPerChannel": {
"title": "Max posts per channel",
"minimum": 1,
"type": "integer",
"description": "Stop after collecting this many posts per channel, counting from the newest.",
"default": 100
},
"keywords": {
"title": "Keywords filter",
"type": "array",
"description": "Only keep posts whose text contains at least one of these words or phrases (case-insensitive). Leave empty to keep every post.",
"items": {
"type": "string"
}
},
"postedAfter": {
"title": "Posted after",
"type": "string",
"description": "Only keep posts published on or after this date (UTC). The crawl stops paginating once older posts are reached, which keeps runs fast and cheap."
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Proxy to use. Telegram's public preview is tolerant, but enable Apify Proxy if you scrape many channels frequently.",
"default": {
"useApifyProxy": true
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```