Japanese-to-English review sentiment analysis with GPT and Telegram alerts
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 11 nodes and runs on a schedule (every day). Along the way it connects Google Sheets, OpenAI Chat Model and Telegram.
How it runs
Trigger: On a schedule (every day).
- Get Review Data (Google Sheets): uses Google Sheets
- Filter Unprocessed (If): checks a condition and branches into true / false
- Format Input Data (Edit Fields (Set)): sets or maps fields
- AI Agent: runs an AI agent, with model: OpenAI Chat Model
- Parse AI Response (Code): runs custom JavaScript code
- Update Spreadsheet (Google Sheets): update
- Check Importance & Sentiment (If): checks a condition and branches into true / false
- Urgent Alert (Telegram) (Telegram): uses Telegram
- Normal Notification (Telegram) (Telegram): uses Telegram
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Agent - Review Analysis (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent - Review Analysis (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (8)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Google Sheets
n8n-nodes-base.googleSheets - If
n8n-nodes-base.if - Edit Fields (Set)
n8n-nodes-base.set - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Code
n8n-nodes-base.code - Telegram
n8n-nodes-base.telegram
From the author
Who is this for This template is designed for e-commerce businesses, customer support teams, and marketing professionals who need to monitor and analyze customer reviews at scale. It's especially useful for teams dealing with multilingual reviews (Japanese to…