Ideal customer profile (ICP) generation: AI, Firecrawl, Gemini, Telegram
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 17 nodes and runs on Telegram events. Along the way it connects Google Gemini Chat Model and Telegram.
How it runs
Trigger: On Telegram events.
- Extracts URL and No of Pages (AI Agent): runs an AI agent, with model: Google Gemini Chat Model; output parser: Structured Output Parser
- Sets url and no of pages (Edit Fields (Set)): sets or maps fields
- If: checks a condition and branches into true / false
- Scrape One Page - user /scrape endpoint (HTTP Request): calls an HTTP API
- Scrapes more than one page - uses /crawl endpoint (HTTP Request): calls an HTTP API
- Basic LLM Chain: sends a prompt to an LLM, with model: Google Gemini Chat Model
- Wait: pauses before continuing
- GET - the scraped content (HTTP Request): calls an HTTP API
- Basic LLM Chain: sends a prompt to an LLM, with model: Google Gemini Chat Model
- Convert to File: converts data to a file
…plus 2 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in Extracts URL and No of Pages (v1.9): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) Extracts URL and No of Pages (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (11)
- Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - HTTP Request
n8n-nodes-base.httpRequest - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Telegram
n8n-nodes-base.telegram - Convert to File
n8n-nodes-base.convertToFile - Telegram Trigger
n8n-nodes-base.telegramTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - Edit Fields (Set)
n8n-nodes-base.set - If
n8n-nodes-base.if - Wait
n8n-nodes-base.wait
From the author
Purpose & Audience This workflow is designed to save hours of manual research for digital marketers, media buyers, copywriters, and business strategists. It empowers users to quickly understand their target customers’ behaviors, pain points, desires, and…