Automated Amazon stock level tracker with Bright Data MCP 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 11 nodes and runs on a schedule (every day at 09:00). Along the way it connects OpenAI Chat Model, Gmail and Mcp (community).
How it runs
Trigger: On a schedule (every day at 09:00).
- Define Product URL (Edit Fields (Set)): sets 1 field: Product url
- Scrape Product Data (via Agent) (AI Agent): runs an AI agent, with model: OpenAI (Chat); 1 tool (Bright Data MCP (Scraper)); output parser: Auto-fixing Output Parser
- Product In Stock? (If): checks a condition and branches into true / false
- Email Supplier (Out of Stock Alert) (Gmail): uses Gmail
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 MCP (Scraper)).
Nodes used (10)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - 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 - If
n8n-nodes-base.if - Gmail
n8n-nodes-base.gmail - No Operation, do nothing
n8n-nodes-base.noOp - Auto-fixing Output Parser
@n8n/n8n-nodes-langchain.outputParserAutofixing - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
From the author
This workflow automatically tracks inventory stock levels across multiple products and suppliers to prevent stockouts and optimize inventory management. It saves you time by eliminating the need to manually check stock levels and provides automated alerts…