Pricing

from $0.25 / 1,000 telegram messages

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Telegram Channel Scraper — messages, reactions, views & media

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Scrape public Telegram channel messages from t.me links — text, dates, view counts, photos, videos, forwards, replies & link previews. Paste channel URLs, @handles, or direct post URLs; filter by date window. No Telegram account, API key, or login needed. Clean JSON or CSV out.

Pricing

from $0.25 / 1,000 telegram messages

Rating

5.0

(1)

Developer

Muhamed Didovic

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Social media

Agents

You can access the Telegram Channel Scraper — messages, reactions, views & media programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "startUrls": ["https://t.me/telegram"],
10    "usernames": [],
11    "proxy": { "useApifyProxy": False },
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("memo23/telegram-channel-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
19for item in client.dataset(run.default_dataset_id).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Telegram Channel Scraper API in Python

The Apify API client for Python is the official library that allows you to use Telegram Channel Scraper — messages, reactions, views & media API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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