Automate YouTube Comment Sentiment Analysis and Reporting via Telegram

This workflow automates the retrieval and analysis of YouTube comments for sentiment and keywords, storing results in Google Sheets and sending a summary report to Telegram.

n8n
Sophia Chow

42 workflows

This comprehensive workflow is designed to streamline the process of analyzing YouTube comments. It begins by fetching video data from Google Sheets, retrieves comments using the YouTube API, and processes these comments through an LLM model for sentiment and keyword extraction. The results are normalized and stored back in Google Sheets. Finally, an aggregated report is generated and sent to a specified Telegram chat, providing insights into the sentiment distribution and top keywords.

$14.99
Last updated October 3, 2026
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Tags

set
code
noOp
telegram
aggregate
stickyNote
httpRequest
googleSheets
splitInBatches
scheduleTrigger

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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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