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 **Execution Video:** [https://youtu.be/qkZ6UaO7aCE](https://youtu.be/qkZ6UaO7aCE) --- #### 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` --- #### 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 --- #### 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 --- #### 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)` --- #### 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 --- #### 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: ```json { "tripInformation": {...}, "listings": [...], "totalListings": X, ... } ``` --- #### 7. **Flight Search with Fare** (`HTTP Request`) * **API**: Amadeus Flight Offers API * **Purpose**: Searches live flight offers using: * originIataCode * destinationIataCode * travelDate * numberOfPeople * **Auth**: OAuth2 --- #### 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**: ```json { "tripInformation": {...}, "listings": [...], "allFlightOffers": [...] } ``` --- #### 9. **Edit Fields** (`Set Node`) * **Purpose**: * Assigns final response fields into clean keys: * `travelDetails` * `listings` * `flights` --- #### 10. **Respond to Webhook** * **Purpose**: Sends back the final structured JSON response to the caller. * **Output**: Combined travel itinerary with flights + Airbnb --- ### 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