Track customer NPS scores across platforms with Bright Data and OpenAI
UnknownUnknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 10 nodes and runs on a schedule (every week at 09:00). Along the way it connects Google Sheets, OpenAI Chat Model and Mcp (community).
How it runs
Trigger: On a schedule (every week at 09:00).
- ✏️ Set Survey Page URL (Edit Fields (Set)): sets 1 field: url
- 🧠 Scrape Reviews with Agent (MCP) (AI Agent): runs an AI agent, with model: 🎯 Prompt & Guide Agent; 1 tool (🌐 Execute Web Scrape (Bright Data)); output parser: Auto-fixing Output Parser
- 📊 Calculate NPS from Ratings (Code): runs custom JavaScript code
- 📄 Log NPS to Google Sheet (Google Sheets): append
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-mcp is verified or supports 3.0 (used in 🌐 Execute Web Scrape (Bright Data)).
Nodes used (9)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - AI Agent
@n8n/n8n-nodes-langchain.agent - Code
n8n-nodes-base.code - Google Sheets
n8n-nodes-base.googleSheets - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Mcp Client Tool
n8n-nodes-mcp.mcpClientTool - Auto-fixing Output Parser
@n8n/n8n-nodes-langchain.outputParserAutofixing - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
From the author
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically tracks customer satisfaction scores across multiple platforms and surveys to help improve customer experience and identify areas…