Monitor competitor campaigns weekly using BrowserAct, OpenRouter, Google Sheets and Slack

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1. Workflow Overview

Automate competitor campaign monitoring using BrowserAct & Openrouter This workflow acts as an automated marketing analyst. It runs weekly to scrape competitor landing pages, compare them against h...

Best for

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

Tools used

n8n-nodes-base.splitinbatches, @n8n/n8n-nodes-langchain.lmchatopenrouter, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.aggregate, n8n-nodes-base.slack, n8n-nodes-base.googlesheets, n8n-nodes-browseract.browseract, @n8n/n8n-nodes-langchain.agent

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Madame AI Team | Kai.

Original n8n.io source

1.1 Workflow description

Title: Monitor competitor campaigns weekly using BrowserAct, OpenRouter, Google Sheets and Slack
Workflow name: Monitor competitor campaigns weekly using BrowserAct, OpenRouter, Google Sheets and Slack

Automate competitor campaign monitoring using BrowserAct & Openrouter

This workflow acts as an automated marketing analyst. It runs weekly to scrape competitor landing pages, compare them against historical data to detect changes in pricing, messaging, or offers, and delivers a strategic intelligence report to your Slack channel.

Target Audience

Marketing managers, product strategists, and e-commerce owners who need to track competitor moves without manual checking.

How it works

Scheduled Scan: The workflow triggers automatically every week.
Retrieve Targets: It fetches a list of competitor URLs from a Google Sheet.
Scrape & Compare:

It loops through each URL.
BrowserAct scrapes the live page content.
An AI Agent (using OpenRouter/GPT-5) compares the live data with the previous week's data stored in the sheet. It detects price changes, new bundles, or messaging shifts.

Update Database: The new data is saved to the Google Sheet for next week's comparison.
Generate Report: A final AI Agent aggregates all the findings into a high-level summary, highlighting only significant changes (e.g., "High Severity" updates).
Notify Team: The report is formatted for Slack and posted to your marketing channel.

How to set up

Configure Credentials: Connect your BrowserAct, Google Sheets, Slack, and OpenRouter accounts in n8n.
Prepare BrowserAct: Ensure the Competitor Campaign Monitoring (Huel) template is saved in your BrowserAct account.
Setup Google Sheet: Create a Google Sheet with columns for Page URL and fields to store historical data (e.g., last_scrape_data).
Configure Slack: Add your Slack Channel ID to the Send a message node.
Activate: Turn on the workflow to start the weekly monitoring cycle.

Requirements

BrowserAct account with the Competitor Campaign Monitoring (Huel) template.
Google Sheets account.
Slack account.
OpenRouter account (or compatible LLM credentials).

How to customize the workflow

Change Frequency: Adjust the Weekly Trigger to run daily or monthly depending on how fast your competitors move.
Monitor Different Elements: Modify the system prompt in the Analyze the pages agent to look for specific keywords like "Black Friday" or "Limited Time."
Add Email Alerts: Add a Gmail node to send the report to stakeholders who aren't on Slack.

Need Help?

Workflow Guidance and Showcase Video

How to Track Web Changes & Get Slack Notifications with n8n

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 - Loop Over Items

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

Block 2 - OpenRouter Chat Model

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

Block 3 - Structured Output Parser

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

Block 4 - Aggregate

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

Block 5 - OpenRouter Chat Model1

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

Block 6 - Structured Output Parser1

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

Block 7 - Send a message

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.4

Block 8 - Extract the target URLs

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 9 - Scrape the target pages

Type / Role: n8n-nodes-browseract.browserAct - browserAct
Config choices: Version 1

Block 10 - Analyze the pages

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 11 - Update Database

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 12 - Retrieve database items

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 13 - Analyze all the items and generate a report

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 14 - Split out Slack messages

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

Block 15 - Documentation

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

Block 16 - Step 1 Explanation

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

Block 17 - Step 2 Explanation

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

Block 18 - Step 4 Explanation

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

Block 19 - Weekly Trigger

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

Block 20 - Sticky Note

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

3. Summary Table

Workflow	Monitor competitor campaigns weekly using BrowserAct, OpenRouter, Google Sheets and Slack
Complexity	advanced
Nodes	20
Categories	Market Research, AI Summarization
Author	Madame AI Team \| Kai
Published	13 Feb 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/13384/13384.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 Monitor competitor campaigns weekly using BrowserAct, OpenRouter, Google Sheets and Slack 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.

Madame AI Team | Kai

50 workflows

Nodes

n8n-nodes-base.splitinbatches @n8n/n8n-nodes-langchain.lmchatopenrouter @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.aggregate n8n-nodes-base.slack n8n-nodes-base.googlesheets n8n-nodes-browseract.browseract @n8n/n8n-nodes-langchain.agent

Complexity

advanced

Published 13 Feb 2026

Likes 0

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Install path: /data/workflows/13384/13384.json

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Monitor competitor campaigns weekly using BrowserAct, OpenRouter, Google Sheets and Slack

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Automate competitor campaign monitoring using BrowserAct & Openrouter

Target Audience

How it works

How to set up

Requirements

How to customize the workflow

Need Help?

Workflow Guidance and Showcase Video

How to Track Web Changes & Get Slack Notifications with n8n

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Loop Over Items

Block 2 - OpenRouter Chat Model

Block 3 - Structured Output Parser

Block 4 - Aggregate

Block 5 - OpenRouter Chat Model1

Block 6 - Structured Output Parser1

Block 7 - Send a message

Block 8 - Extract the target URLs

Block 9 - Scrape the target pages

Block 10 - Analyze the pages

Block 11 - Update Database

Block 12 - Retrieve database items

Block 13 - Analyze all the items and generate a report

Block 14 - Split out Slack messages

Block 15 - Documentation

Block 16 - Step 1 Explanation

Block 17 - Step 2 Explanation

Block 18 - Step 4 Explanation

Block 19 - Weekly Trigger

Block 20 - Sticky Note

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