Telegram Channel Analytics & Engagement Report
Pricing
$8.00 / 1,000 channel reports
Turn any public Telegram channel into a performance report: median views, views per subscriber, reaction rate, posting frequency, best hour and weekday to post, content mix and top posts. One row per channel, stating the post count and date span every figure is based on.
You can access the Telegram Channel Analytics & Engagement Report 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "channels": [10 "@durov",11 "@telegram",12 ],13 "postsToAnalyze": 100,14 "timezone": "UTC",15 "topPostsCount": 5,16 "country": "us",17 "maxConcurrency": 6,18}19
20# Run the Actor and wait for it to finish21run = client.actor("apt_marble/telegram-channel-analytics").call(run_input=run_input)22
23# Fetch and print Actor results from the run's dataset (if there are any)24print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")25for item in client.dataset(run.default_dataset_id).iterate_items():26 print(item)27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Telegram Channel Analytics & Engagement Report API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: