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Track competitor prices daily with ZenRows, OpenAI, Telegram, and DataTables

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Track competitor prices daily with ZenRows, OpenAI, Telegram, and DataTables preview
Open on n8n.io

1. Workflow Overview

Stop checking competitor prices manually. This workflow monitors product prices across multiple online retailers every day — automatically. The moment a price changes, you get an instant Telegram a...

Best for

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

Tools used

n8n-nodes-base.set, n8n-nodes-base.code, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.splitinbatches, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.gmail, n8n-nodes-base.telegram

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Track competitor prices daily with ZenRows, OpenAI, Telegram, and DataTables
Workflow name
Track competitor prices daily with ZenRows, OpenAI, Telegram, and DataTables

Stop checking competitor prices manually.

This workflow monitors product prices across multiple online retailers every day — automatically. The moment a price changes, you get an instant Telegram alert with the product name, old price, new price, and a direct link to the page.

Set it up once. Let it run forever.


What it does

  • Scrapes product pages daily using ZenRows with JS rendering and residential proxies
  • Extracts prices via JSON-LD structured data — works across most major retailers
  • Compares each price against the last known value stored in an n8n DataTable
  • Tracks full price history for every product over time
  • Sends an AI-written summary alert via Telegram only when prices actually change
  • Updates all records automatically — no manual database management

What's inside

  • Ready-to-import n8n workflow (14 nodes, fully documented with sticky notes)
  • Full setup guide — step by step from zero to running in ~15 minutes
  • DataTable schema template for instant import
  • Sample Amazon product URLs to test immediately after setup

What you need

  • n8n (self-hosted or cloud)
  • ZenRows API key (web scraping)
  • OpenAI API key (alert generation)
  • Telegram Bot token

Who it's for

Perfect for e-commerce store owners, small businesses, and anyone who needs to stay on top of competitor pricing without lifting a finger.


P.S. I actually use this workflow myself to monitor the price of a tablet I want to buy. I simply pasted the product URLs from a few local retailers and now every morning,if any price changed overnight, I get a Telegram message. That's it. No app, no subscription(only Open Ai, zenrows have free tier), no manual checking.

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 - set input data

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

Block 2 - Compare prices

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

Block 3 - Extract data

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

Block 4 - Zenrows check product

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.4

Block 5 - OpenAI Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 6 - Loop Over Items

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

Block 7 - Sumary writer

Type / Role
@n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices
Version 1.9

Block 8 - Send a message

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

Block 9 - Send a text message

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

Block 10 - Update row(price chenged)

Type / Role
n8n-nodes-base.dataTable - dataTable
Config choices
Version 1.1

Block 11 - Get row(price url)

Type / Role
n8n-nodes-base.dataTable - dataTable
Config choices
Version 1.1

Block 12 - Set Data in Loop

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

Block 13 - Aggregate

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

Block 14 - Filter

Type / Role
n8n-nodes-base.filter - filter
Config choices
Version 2.3

Block 15 - Schedule Trigger

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.3

Block 16 - Sticky Note

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

Block 17 - Sticky Note1

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

Block 18 - Sticky Note2

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

Block 19 - Sticky Note3

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

Block 20 - Sticky Note4

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

Block 21 - Sticky Note5

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

Block 22 - Sticky Note6

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

Block 23 - Sticky Note7

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

3. Summary Table

Workflow Track competitor prices daily with ZenRows, OpenAI, Telegram, and DataTables
Complexity advanced
Nodes 23
Categories Market Research, AI Summarization
Author LukaszB
Published 03 Apr 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/14675/14675.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 Track competitor prices daily with ZenRows, OpenAI, Telegram, and DataTables do?

Stop checking competitor prices manually. This workflow monitors product prices across multiple online retailers every day — automatically. The moment a price changes, you get an instant Telegram a...

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.