Monitor competitor ad activity via Telegram with BrowserAct and Gemini
UnknownUnknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 10 nodes and runs on Telegram events (message). Along the way it connects Google Gemini Chat Model, Telegram and Browseract (community).
How it runs
Trigger: On Telegram events (message).
- Analyze user Input (AI Agent): runs an AI agent, with model: Validate inputs; output parser: Structured Output
- Scrape Ads from Meta and Google (Browser Act): uses Browser Act
- Process Initialization Alert (Telegram): uses Telegram
- Process Ad Data (AI Agent): runs an AI agent, with model: Gemini; output parser: Structured Output
- Send Message to User Chat (Telegram): uses Telegram
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-browseract is verified or supports 3.0 (used in Scrape Ads from Meta and Google).
Nodes used (6)
- Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - AI Agent
@n8n/n8n-nodes-langchain.agent - Telegram
n8n-nodes-base.telegram - Telegram Trigger
n8n-nodes-base.telegramTrigger - Browser Act
n8n-nodes-browseract.browserAct
From the author
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…