Find cheap flight deals using Google Gemini, GPT-4, Telegram and BrowserAct

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1. Workflow Overview

Find cheap flight deals using AI, Telegram and BrowserAct This workflow transforms your Telegram bot into an intelligent travel agent. Ask for deals (e.g., "Flights from Berlin"), and it will scrap...

Best for

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

Tools used

@n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.lmchatopenrouter, n8n-nodes-base.splitinbatches, n8n-nodes-base.telegram, n8n-nodes-base.switch, n8n-nodes-base.telegramtrigger

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: Find cheap flight deals using Google Gemini, GPT-4, Telegram and BrowserAct
Workflow name: Find cheap flight deals using Google Gemini, GPT-4, Telegram and BrowserAct

Find cheap flight deals using AI, Telegram and BrowserAct

This workflow transforms your Telegram bot into an intelligent travel agent. Ask for deals (e.g., "Flights from Berlin"), and it will scrape real-time prices from a flight aggregator, curate the best offers using AI, and deliver a formatted list directly to your chat.

Target Audience

Travel enthusiasts, digital nomads, and budget-conscious flyers looking for automated deal alerts.

How it works

Receive Request: You send a message to your Telegram bot (e.g., "Cheap flights from London").
Extract Location: An AI Agent parses your message to identify the departure city. If you don't specify one, it asks for clarification.
Scrape Deals: BrowserAct executes a background task to search a flight aggregator (like Momondo or Skyscanner) for the best deals from your chosen city.
Curate & Format: A second AI Agent processes the raw flight data. It sorts deals by price, groups them for readability, adds country flags, and formats the list into Telegram-friendly HTML.
Deliver: The workflow splits the curated list into multiple messages (if necessary) and sends them to your Telegram chat.

How to set up

Configure Credentials: Connect your Telegram, BrowserAct, Google Gemini, and OpenRouter accounts in n8n.
Prepare BrowserAct: Ensure the Low-Cost Travel Finder template is saved in your BrowserAct account.
Configure Telegram: Ensure your bot is created via BotFather and the API token is added to the Telegram credentials.
Activate: Turn on the workflow.
Test: Send a message like "Flights from NYC" to your bot.

Requirements

BrowserAct account with the Low-Cost Travel Finder template.
Telegram account (Bot Token).
Google Gemini & OpenRouter accounts.

How to customize the workflow

Filter by Destination: Add logic to the Generate response agent to only show flights to specific regions (e.g., "Only show Asia destinations").
Change Aggregator: Update the BrowserAct template to scrape Google Flights or Kayak instead of Momondo.
Set Alerts: Add a Schedule Trigger to run this workflow automatically every morning for your home airport.

Need Help?

Workflow Guidance and Showcase Video

Build a Low-Cost Flight Finder with n8n & AI (Telegram Bot Tutorial)

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 - Structured Output Parser

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

Block 2 - Validate user Input

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

Block 3 - Validate user Inputs

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

Block 4 - Google Gemini

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

Block 5 - Structured Output

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

Block 6 - OpenRouter Model

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

Block 7 - Loop Over Items

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

Block 8 - Chatting With User

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

Block 9 - Answer the User

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

Block 10 - Check For Input Type

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

Block 11 - User Sends Message to Bot

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

Block 12 - Process Initialization Alert

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

Block 13 - Run "Low-Const Travel Finder" workflow

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

Block 14 - Analyze Data & Generate Response

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

Block 15 - Split Out Generated Data

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

Block 16 - Avoid Rate Limits

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

Block 17 - Send Travel List to User

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

Block 18 - Step 1 Explanation

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

Block 19 - Step 2 Explanation

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

Block 20 - Step 3 Explanation

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

Block 21 - Step 4 Explanation

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

Block 22 - Documentation

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

Block 23 - Sticky Note

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

3. Summary Table

Workflow	Find cheap flight deals using Google Gemini, GPT-4, Telegram and BrowserAct
Complexity	advanced
Nodes	23
Categories	Market Research, AI Chatbot
Author	Madame AI Team \| Kai
Published	03 Jan 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/12435/12435.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 Chatbot workflows

Frequently asked questions

What does Find cheap flight deals using Google Gemini, GPT-4, Telegram and BrowserAct 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 Chatbot use case.

Madame AI Team | Kai

50 workflows

Nodes

@n8n/n8n-nodes-langchain.outputparserstructured @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatgooglegemini @n8n/n8n-nodes-langchain.lmchatopenrouter n8n-nodes-base.splitinbatches n8n-nodes-base.telegram n8n-nodes-base.switch n8n-nodes-base.telegramtrigger

Complexity

advanced

Published 03 Jan 2026

Likes 0

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Install path: /data/workflows/12435/12435.json

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Find cheap flight deals using Google Gemini, GPT-4, Telegram and BrowserAct

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Find cheap flight deals using AI, Telegram and BrowserAct

Target Audience

How it works

How to set up

Requirements

How to customize the workflow

Need Help?

Workflow Guidance and Showcase Video

Build a Low-Cost Flight Finder with n8n & AI (Telegram Bot Tutorial)

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Structured Output Parser

Block 2 - Validate user Input

Block 3 - Validate user Inputs

Block 4 - Google Gemini

Block 5 - Structured Output

Block 6 - OpenRouter Model

Block 7 - Loop Over Items

Block 8 - Chatting With User

Block 9 - Answer the User

Block 10 - Check For Input Type

Block 11 - User Sends Message to Bot

Block 12 - Process Initialization Alert

Block 13 - Run "Low-Const Travel Finder" workflow

Block 14 - Analyze Data & Generate Response

Block 15 - Split Out Generated Data

Block 16 - Avoid Rate Limits

Block 17 - Send Travel List to User

Block 18 - Step 1 Explanation

Block 19 - Step 2 Explanation

Block 20 - Step 3 Explanation

Block 21 - Step 4 Explanation

Block 22 - Documentation

Block 23 - 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