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Monitor competitor ad activity via Telegram with BrowserAct and Gemini

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Important notice

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

1. Workflow Overview

Monitor competitor ad activity via Telegram using BrowserAct & Gemini Turn your Telegram bot into a covert marketing intelligence tool. This workflow allows you to send a company name to a bot, whi...

Best for

  • Market Research automation workflows
  • AI Chatbot automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.telegram, n8n-nodes-base.telegramtrigger, n8n-nodes-browseract.browseract, n8n-nodes-base.stickynote

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 ad activity via Telegram with BrowserAct and Gemini
Workflow name
Monitor competitor ad activity via Telegram with BrowserAct and Gemini

Monitor competitor ad activity via Telegram using BrowserAct & Gemini

Turn your Telegram bot into a covert marketing intelligence tool. This workflow allows you to send a company name to a bot, which then scrapes active ad campaigns, analyzes the strategy using AI, and delivers a strategic verdict directly to your chat.

Target Audience

Digital marketers, dropshippers, e-commerce business owners, and ad agencies looking to track competitor activity without manual searching.

How it works

  1. Receive Command: The workflow starts when you send a message to your Telegram bot (e.g., "Check ads for Nike" or "Spy on Higgsfield").
  2. Extract Brand: An AI Agent (using Google Gemini) processes the natural language text to extract the specific company or brand name.
  3. Scrape Ad Data: A BrowserAct node executes a background task (using the "Competitor Ad Activity Monitor" template) to search ad libraries (like Facebook or Google) for active campaigns.
  4. Analyze Strategy: A second AI Agent acts as a "Senior Marketing Analyst." It reviews the scraped data to count active ads, identify key hooks, and determine if the competitor is scaling or inactive.
  5. Deliver Report: The bot sends a formatted HTML scorecard to Telegram, including the ad count, best ad copy, and a strategic verdict (e.g., "ADVERTISE NOW" or "WAIT").

How to set up

  1. Configure Credentials: Connect your Telegram, BrowserAct, and Google Gemini accounts in n8n.
  2. Prepare BrowserAct: Ensure the Competitor Ad Activity Monitor template is saved in your BrowserAct account.
  3. Configure Telegram: Ensure your bot is created via BotFather and the API token is added to the Telegram credentials.
  4. Activate: Turn on the workflow.
  5. Test: Send a company name to your bot to generate a report.

Requirements

  • BrowserAct account with the Competitor Ad Activity Monitor template.
  • Telegram account (Bot Token).
  • Google Gemini account.

How to customize the workflow

  1. Adjust Analysis Logic: Modify the system prompt in the Generate response agent to change how the "Verdict" is calculated (e.g., prioritize video ads over image ads).
  2. Add More Sources: Update the BrowserAct template to scrape TikTok Creative Center or LinkedIn Ads.
  3. Change Output: Replace the Telegram output with a Slack or Discord node to send reports to a team channel.

Need Help?

Workflow Guidance and Showcase Video

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 - Validate inputs

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

Block 2 - Structured Output

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

Block 3 - Analyze user Input

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

Block 4 - Structured Output1

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

Block 5 - Send Message to User Chat

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

Block 6 - User Sends Message to Bot

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

Block 7 - Scrape Ads from Meta and Google

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

Block 8 - Process Ad Data

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

Block 9 - Gemini

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

Block 10 - Sticky Note

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

Block 11 - Documentation

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

Block 12 - Step 1 Explanation

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

Block 13 - Step 3 Explanation

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

Block 14 - Process Initialization Alert

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

3. Summary Table

Workflow Monitor competitor ad activity via Telegram with BrowserAct and Gemini
Complexity intermediate
Nodes 14
Categories Market Research, AI Chatbot
Author Madame AI Team | Kai
Published 01 Jan 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/12352/12352.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.

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

Frequently asked questions

What does Monitor competitor ad activity via Telegram with BrowserAct and Gemini do?

Monitor competitor ad activity via Telegram using BrowserAct & Gemini Turn your Telegram bot into a covert marketing intelligence tool. This workflow allows you to send a company name to a bot, whi...

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 Chatbot use case.