Build a training dataset from Telegram Channel messages
Goutam Soni
Consistent, well-typed Telegram Channel messages suitable as an input corpus for analysis or model training.
Input
Output fields
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The Telegram Channel Scraper Goat Actor is ready to run with the inputs already set for "Build a training dataset from Telegram Channel messages". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Build a training dataset from Telegram Channel messages" task
The Telegram Channel Scraper Goat Actor will start running based on the input automatically. You can also change all the input fields, like telegram channels or urls, max messages per channel, and more, to match your specific use case.
Receive the "Build a training dataset from Telegram Channel messages" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as channel, msg id, date, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Build a training dataset from Telegram Channel messages" task via API.
Integrate "Build a training dataset from Telegram Channel messages" into your workflow
Connect "Build a training dataset from Telegram Channel messages" with 100+ integrations, or run it via API or MCP.
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