Block 1 - Get row(s) in sheet
- Type / Role
- n8n-nodes-base.googleSheets - googleSheets
- Config choices
- Version 4.7
How it works This workflow automatically monitors competitor product prices stored in Google Sheets. It scrapes product pages, extracts pricing and offer data using AI, and compares it with histori...
n8n-nodes-base.googlesheets, n8n-nodes-base.code, n8n-nodes-base.if, n8n-nodes-base.splitinbatches, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgroq, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.gmail
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Avkash Kakdiya.
Original n8n.io sourceThis workflow automatically monitors competitor product prices stored in Google Sheets. It scrapes product pages, extracts pricing and offer data using AI, and compares it with historical values. Based on changes, it updates records and generates a market intelligence report. The workflow then emails the report and resets data for the next execution cycle.
Step 1: Database sync
Schedule Trigger – Runs the workflow at a scheduled time.
Get row(s) in sheet – Fetches competitor data and product URLs.
Step 2: Scraping
Loop Over Items – Processes each competitor entry.
HTTP Request3 – Retrieves raw HTML using ScraperAPI.
Clean Content – Cleans and prepares text for AI processing.
Step 3: Price extraction
AI Agent1 – Extracts product name, price, and offers.
Groq Chat Model1 – Provides AI extraction capability.
current Price and offer – Converts AI output into structured data.
If2 – Checks if it's the first recorded entry.
First time price and offer added – Stores initial values.
If1 – Compares current vs previous price and offers.
Updated current price and offer in sheet – Updates if changes detected.
If No changes then update – Updates sheet even when no change is found.
Step 4: Analysis
Get row(s) in sheet1 – Retrieves updated dataset.
Data Aggregator – Builds structured market comparison data.
AI Agent – Generates strategic insights and recommendations.
Groq Chat Model – Powers the analysis output.
Update row in sheet – Saves AI-generated summary in sheet.
Step 5: Reporting
Edit Fields1 – Formats the report into HTML email layout.
Send a message – Sends the final report via Gmail.
Step 6: Reset
Get row(s) in sheet2 – Retrieves final processed data.
Update row in sheet1 – Moves current data to history and clears fields.
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.
Showing the first 24 of 30 workflow blocks. Download the JSON for the full node graph.
| Workflow | Track competitor prices and email AI insights with Google Sheets, Groq and Gmail |
|---|---|
| Complexity | advanced |
| Nodes | 30 |
| Categories | Market Research, AI Summarization |
| Author | Avkash Kakdiya |
| Published | 25 Mar 2026 |
Use the JSON export at /data/workflows/14311/14311.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
How it works This workflow automatically monitors competitor product prices stored in Google Sheets. It scrapes product pages, extracts pricing and offer data using AI, and compares it with histori...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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.