Go to example tasks
Build a Telegram corpus for LLM review
Prepare compact message summaries from public Telegram channels for grounded review in an LLM workflow or knowledge base.
Telegram Channels Scraper: Messages, Contacts & Leadskhadinakbar/telegram-channel-scraper
Channel
Message ID
Posted at
Views
+6 fieldsTextNumberBooleanListObject
Input
Channel usernames or URLs:durov+1
Max messages per channel:10
Include channel metadata:false
Include media URLs:false
Include reaction breakdowns:false
Output format:markdown
Output fields
Channel
Message ID
Posted at
Views
Reactions
Media type
Message text
External links
Emails
Message link
Sign up on Apify01
Create your Apify account to access the Telegram Channels Scraper: Messages, Contacts & Leads.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
