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Automated Amazon stock level tracker with Bright Data MCP and OpenAI

Workflow preview

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Automated Amazon stock level tracker with Bright Data MCP and OpenAI preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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...

Best for

  • Engineering automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-mcp.mcpclienttool, n8n-nodes-base.if, n8n-nodes-base.gmail, n8n-nodes-base.noop

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Yaron Been.

Original n8n.io source

1.1 Workflow description

Title
Automated Amazon stock level tracker with Bright Data MCP and OpenAI
Workflow name
Automated Amazon stock level tracker with Bright Data MCP and OpenAI

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 when inventory reaches critical thresholds.

Overview

This workflow automatically scrapes supplier websites, e-commerce platforms, and inventory systems to monitor real-time stock levels and availability. It uses Bright Data to access inventory data and AI to intelligently parse stock information, detect low inventory alerts, and track supply chain trends.

Tools Used

  • n8n: The automation platform that orchestrates the workflow
  • Bright Data: For scraping inventory and supplier websites without being blocked
  • OpenAI: AI agent for intelligent stock level analysis and trend detection
  • Google Sheets: For storing inventory data and tracking stock movements

How to Install

  1. Import the Workflow: Download the .json file and import it into your n8n instance
  2. Configure Bright Data: Add your Bright Data credentials to the MCP Client node
  3. Set Up OpenAI: Configure your OpenAI API credentials
  4. Configure Google Sheets: Connect your Google Sheets account and set up your inventory tracking spreadsheet
  5. Customize: Define product URLs and inventory monitoring parameters

Use Cases

  • E-commerce: Monitor product availability across multiple suppliers
  • Retail Management: Track inventory levels to prevent stockouts
  • Supply Chain: Monitor supplier stock levels and lead times
  • Procurement: Identify restocking needs and optimize purchasing decisions

Connect with Me

#n8n #automation #inventorytracking #stockmonitoring #brightdata #webscraping #inventorymanagement #n8nworkflow #workflow #nocode #stocklevels #supplychain #inventoryautomation #stockalerts #ecommerce #procurement #inventorycontrol #stockanalysis #suppliermonitoring #inventoryoptimization #stocktracking #warehousemanagement #retailautomation #inventorydata #stockmanagement #supplymanagement #inventorymonitoring #productavailability #stockforecasting #inventoryinsights

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Check Stock Every X Hours

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.2

Block 2 - Define Product URL

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 3 - Scrape Product Data (via Agent)

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2

Block 4 - OpenAI (Chat)

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 5 - Bright Data MCP (Scraper)

Type / Role
n8n-nodes-mcp.mcpClientTool - mcpClientTool
Config choices
Version 1

Block 6 - Product In Stock?

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.2

Block 7 - Email Supplier (Out of Stock Alert)

Type / Role
n8n-nodes-base.gmail - gmail
Config choices
Version 2.1

Block 8 - Do Nothing (Stock Available)

Type / Role
n8n-nodes-base.noOp - noOp
Config choices
Version 1

Block 9 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 10 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 11 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 12 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 13 - Sticky Note9

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 15 - Auto-fixing Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserAutofixing - outputParserAutofixing
Config choices
Version 1

Block 16 - OpenAI Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 17 - Structured Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.2

3. Summary Table

Workflow Automated Amazon stock level tracker with Bright Data MCP and OpenAI
Complexity advanced
Nodes 17
Categories Engineering, AI Summarization
Author Yaron Been
Published 13 Jul 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/5960/5960.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Automated Amazon stock level tracker with Bright Data MCP and OpenAI do?

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...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering, AI Summarization use case.