Track brand mentions with sentiment analysis using Bright Data & OpenAI
UnknownWhat this workflow does
This AI workflow has 9 nodes and runs manually, when you click “Execute workflow”. Along the way it connects OpenAI Chat Model, Google Sheets and Mcp (community).
How it runs
Trigger: Manually, when you click “Execute workflow”.
- 📝 Define Medium Blog URL (Edit Fields (Set)): sets 1 field: blogURL
- 🤖 Agent: Scrape Medium Blog (OpenAI Mentions) (AI Agent): runs an AI agent, with model: 🧠 Chat Reasoning Engine; 1 tool (🌐 Bright Data Tool); output parser: Auto-fixing Output Parser
- 📥 Save Results to Google Sheets (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 🌐 Bright Data Tool).
Nodes used (8)
- Manual Trigger
n8n-nodes-base.manualTrigger - Edit Fields (Set)
n8n-nodes-base.set - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Mcp Client Tool
n8n-nodes-mcp.mcpClientTool - Google Sheets
n8n-nodes-base.googleSheets - 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 brand mentions across various online platforms by scraping blog posts and articles for specific brand references. It saves…