Product review analysis with BrowserAct & Gemini-powered recommendations
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 13 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Send Email, Telegram and Google Gemini Chat Model. It also calls api.browseract.com over HTTP.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- HTTP Request: calls api.browseract.com (POST)
- If: checks a condition and branches into true / false
- HTTP Request: calls api.browseract.com
- Wait: waits 1 minutes
- If: checks a condition and branches into true / false
- AI Agent: runs an AI agent, with model: Google Gemini Chat Model; 2 tools (Send email in Send Email, Send a text message in Telegram)
- Wait: waits 1 minutes
- Send a text message (Telegram): uses Telegram
- Send Email: sends an email over SMTP
Services it uses
HTTP calls to: api.browseract.com
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (10)
- HTTP Request
n8n-nodes-base.httpRequest - Wait
n8n-nodes-base.wait - If
n8n-nodes-base.if - AI Agent
@n8n/n8n-nodes-langchain.agent - Email Send Tool
n8n-nodes-base.emailSendTool - Telegram Tool
n8n-nodes-base.telegramTool - Send Email
n8n-nodes-base.emailSend - Telegram
n8n-nodes-base.telegram - Manual Trigger
n8n-nodes-base.manualTrigger - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini
From the author
Product Review Analysis with BrowserAct & Gemini-Powered Recommendations. This n8n template demonstrates how to perform product review sentiment analysis and generate improvement recommendations using an AI Agent. This workflow is perfect for e-commerce store…