Telegram Dataset: Build a Multilingual Text Corpus
Bulk message text from low-resource-language channels, one row per post with its date. Raw text, no cleaning or deduplication done for you.
What this run is set to
The settings saved on this example. Every one of them is editable once you open it on Apify — these are a starting point, not a limit.
| Setting | Value | What it does |
|---|---|---|
Channels | bbcpersian, SwahiliNews, civilge +1 more | Public Telegram channels to scrape. |
Max posts per channel | 2000 | Maximum number of posts to collect for each channel. |
Emit a channel info row | on | When on, the actor pushes one summary row per channel (title, subscribers, counts) before its posts. |
Pricing
$0.0015 per post = $1.5 per 1,000
| You are charged for | When | Price |
|---|---|---|
| Post returned | Charged per channel post returned. | $0.0015 |
Pay-per-event pricing: you are billed per result, not per subscription. Billing is handled by Apify on your own account. These are the live Apify store prices, in effect since 2026-06-13, and they are what you are actually charged.
What you get
A structured dataset — each result includes fields like:
channelchannelDescriptionchannelTitlechannelUsernamedetailslinksCountmessageIdphotosCountpostUrlpostsReturnedrowTypesubscriberstextvideosCountdateviewsmediaTypeExport every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.
More use cases for Telegram Channel Scraper
- Try
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Built on Telegram Channel Scraper — every input, output field, price and the full how-to are on the tool page.
Where this tool sits
- Categories
- Social Media Scrapers
- Platforms
- Telegram