Plan Travel Itineraries with Gemini AI, Live Amadeus Flights, and Airbnb Stays

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Here is the Full Node-by-Node Breakdown of the workflow Workflow

Execution Video: https://youtu.be/qkZ6UaO7aCE

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1. Webhook (Webhook)

• Purpose : Accepts incoming user queries via HTTP GET with the text parameter.
• Example input : 4 people from Germany to Bangkok @14th August 2025

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2. AI Agent (AI Agent)

• Type : LangChain Agent

• Model : Google Gemini 2.5 Flash via Vertex AI

• Prompt logic :

  • Extracts structured travel info (origin city, destination, date, number of people)
  • Determines 3-letter IATA codes
  • Uses MCP’s Airbnb Tool to scrape listings starting from that date

• Returns :

  • A markdown + bullet-format response with:

    • Structured trip info
    • List of Airbnb listings with titles, price, rating, and link

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3. MCP Client List Tool (MCP Client List Tool)

• Purpose : Fetches a list of tools registered with MCP (Multi Channel Parser) client for the AI agent to select from
• Used by : AI Agent as part of listTools() phase

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4. MCP Execute Tool (MCP Execute Tool)

• Purpose : Executes the selected MCP tool (Airbnb scraper)
• Tool input : Dynamic — passed by AI Agent using $fromAI('Tool_Parameters')

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5. Google Vertex Chat Model (Google Vertex Chat Model)

• Purpose : Acts as the LLM behind the AI Agent
• Model : Gemini 2.5 Flash from Vertex AI
• Used for : Language understanding, extraction, decision-making

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6. Grabbing Clean Data (Code Node)

• Purpose : Parses AI output to extract:

  • Structured trip data
  • Airbnb listings (with title, rating, price, link)

• Handles :

  • Bullet (•) and asterisk (*) formats
  • New and old markdown styles
  • Fallbacks for backward compatibility

• Output : Clean JSON:

  {
  

  "tripInformation": {...}, "listings": [...], "totalListings": X, ... }

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7. Flight Search with fare (HTTP Request)

• API : Amadeus Flight Offers API

• Purpose : Searches live flight offers using:

  • originIataCode
  • destinationIataCode
  • travelDate
  • numberOfPeople

• Auth : OAuth2

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8. Flight Data + Airbnb Listings (Code Node)

• Purpose :

  • Parses Amadeus flight offers
  • Formats date, time, and durations
  • Merges flight results with earlier Airbnb + trip info JSON
  • Sorts by cheapest total price

• Output :

  {
  

  "tripInformation": {...}, "listings": [...], "allFlightOffers": [...] }

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9. Edit Fields (Set Node)

• Purpose :

  • Assigns final response fields into clean keys:

    • traveldetails
    • listings
    • flights

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10. Respond to Webhook

• Purpose : Sends back the final structured JSON response to the caller.
• Output : Combined travel itinerary with flights + Airbnb

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Summary

This end-to-end workflow is a fully autonomous travel query-to-itinerary engine. From a plain text like “4 people from Vijayawada to Bangkok @14th August 2025,” it:

• Parses and understands the query using an AI agent
• Fetches Airbnb stays by scraping live listings
• Searches real-time flights via Amadeus
• Merges and formats everything into structured, digestible JSON

No manual parsing, no frontend — just AI + APIs + automation.

NOTE: I JUST USED A COMMUNITY NODE "n8n-nodes-mcp" + UNOFFICIAL AIRBNB MCP