Automated dynamic pricing with AI competitor monitoring & revenue optimization

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Important notice

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

1. Workflow Overview

This workflow contains community nodes that are only compatible with the self hosted version of n8n. How it works This workflow automatically monitors competitor prices, analyzes market demand, and...

Best for

Market Research automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.code, n8n-nodes-base.splitinbatches, n8n-nodes-scrapegraphai.scrapegraphai, n8n-nodes-base.merge, n8n-nodes-base.if, n8n-nodes-base.httprequest, n8n-nodes-base.googlesheets

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by vinci-king-01.

Original n8n.io source

1.1 Workflow description

Title: Automated dynamic pricing with AI competitor monitoring & revenue optimization
Workflow name: Automated dynamic pricing with AI competitor monitoring & revenue optimization

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

How it works

This workflow automatically monitors competitor prices, analyzes market demand, and optimizes product pricing in real-time for maximum profitability using advanced AI algorithms.

Key Steps

Hourly Trigger - Runs automatically every hour for real-time price optimization and competitive response.
Multi-Platform Competitor Monitoring - Uses AI-powered scrapers to track prices from Amazon, Best Buy, Walmart, and Target.
Market Demand Analysis - Analyzes Google Trends data to understand search volume trends and seasonal patterns.
Customer Sentiment Analysis - Reviews customer feedback to assess price sensitivity and value perception.
AI Pricing Optimization - Calculates optimal prices using weighted factors including competitor positioning, demand indicators, and inventory levels.
Automated Price Updates - Directly updates e-commerce platform prices when significant opportunities are identified.
Comprehensive Analytics - Logs all pricing decisions and revenue projections to Google Sheets for performance tracking.

Set up steps

Setup time: 15-20 minutes

Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for AI-powered competitor and market analysis.
Set up e-commerce API connection - Connect your e-commerce platform API for automated price updates.
Configure Google Sheets - Set up Google Sheets connections for pricing history and revenue analytics logging.
Set up Slack notifications - Connect your Slack workspace for real-time pricing alerts and team updates.
Customize product catalog - Modify the product configuration with your actual products, costs, and pricing constraints.
Adjust monitoring frequency - Change the trigger timing based on your business needs (hourly, daily, etc.).
Configure competitor platforms - Update competitor URLs and selectors for your target market.

What you get

Real-time price optimization with 15-25% potential revenue increase through intelligent pricing
Competitive intelligence with automated monitoring of major e-commerce platforms
Market demand insights with seasonal and trend-based pricing adjustments
Customer sentiment analysis to understand price sensitivity and value perception
Automated price updates when significant opportunities are identified (>2% change, >70% confidence)
Comprehensive analytics with pricing history, revenue projections, and performance tracking
Team notifications with detailed market analysis and pricing recommendations
Margin protection with intelligent constraints to maintain profitability

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 - Hourly Pricing Monitor Trigger

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

Block 2 - Pricing Configuration Processor

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 3 - Split Monitoring Tasks

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

Block 4 - Task Processor

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 5 - AI Competitor Price Scraper

Type / Role: n8n-nodes-scrapegraphai.scrapegraphAi - scrapegraphAi
Config choices: Version 1

Block 6 - AI Demand Analysis Scraper

Type / Role: n8n-nodes-scrapegraphai.scrapegraphAi - scrapegraphAi
Config choices: Version 1

Block 7 - AI Customer Sentiment Scraper

Type / Role: n8n-nodes-scrapegraphai.scrapegraphAi - scrapegraphAi
Config choices: Version 1

Block 8 - Merge Pricing Data

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

Block 9 - Pricing Optimization Engine

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 10 - Price Change Filter

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2

Block 11 - Price Update API Call

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 12 - Pricing History Logger

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.5

Block 13 - Revenue Analytics Logger

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.5

Block 14 - Pricing Alert Sender

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

Block 15 - Pricing Report Sender

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

Block 16 - Workflow Overview

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

Block 17 - Step 1: Hourly Trigger Guide

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

Block 18 - Step 2: Configuration Processor

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

Block 19 - Step 3: Task Splitting

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

Block 20 - Step 4: Task Processing

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

Block 21 - Steps 5-7: AI Scraping Network

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

Block 22 - Step 8: Data Merging

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

Block 23 - Step 9: Optimization Engine

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

Block 24 - Step 10: Price Change Filter

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

Showing the first 24 of 25 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Automated dynamic pricing with AI competitor monitoring & revenue optimization
Complexity	advanced
Nodes	25
Categories	Market Research, AI Summarization
Author	vinci-king-01
Published	25 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6448/6448.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

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

Download workflow JSON Original n8n.io source Market Research workflows AI Summarization workflows

Frequently asked questions

What does Automated dynamic pricing with AI competitor monitoring & revenue optimization do?

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 Market Research, AI Summarization use case.

vinci-king-01

67 workflows

Nodes

n8n-nodes-base.scheduletrigger n8n-nodes-base.code n8n-nodes-base.splitinbatches n8n-nodes-scrapegraphai.scrapegraphai n8n-nodes-base.merge n8n-nodes-base.if n8n-nodes-base.httprequest n8n-nodes-base.googlesheets

Complexity

advanced

Published 25 Jul 2025

Likes 0

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Install path: /data/workflows/6448/6448.json

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Automated dynamic pricing with AI competitor monitoring & revenue optimization

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

Key Steps

Set up steps

What you get

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Hourly Pricing Monitor Trigger

Block 2 - Pricing Configuration Processor

Block 3 - Split Monitoring Tasks

Block 4 - Task Processor

Block 5 - AI Competitor Price Scraper

Block 6 - AI Demand Analysis Scraper

Block 7 - AI Customer Sentiment Scraper

Block 8 - Merge Pricing Data

Block 9 - Pricing Optimization Engine

Block 10 - Price Change Filter

Block 11 - Price Update API Call

Block 12 - Pricing History Logger

Block 13 - Revenue Analytics Logger

Block 14 - Pricing Alert Sender

Block 15 - Pricing Report Sender

Block 16 - Workflow Overview

Block 17 - Step 1: Hourly Trigger Guide

Block 18 - Step 2: Configuration Processor

Block 19 - Step 3: Task Splitting

Block 20 - Step 4: Task Processing

Block 21 - Steps 5-7: AI Scraping Network

Block 22 - Step 8: Data Merging

Block 23 - Step 9: Optimization Engine

Block 24 - Step 10: Price Change Filter

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions