This n8n workflow streamlines the process of helping users plan their vacations by gathering travel details, automatically searching for suitable hotels, and presenting personalized recommendations. The workflow begins with a webhook trigger that initiates a conversation with a user via ChatGPT, asking about their destination, travel dates, number of guests, and room preferences. Once the necessary information is collected, the AI agent uses SerpAPI’s Google Hotels search to find available accommodations matching the user’s criteria. The workflow employs an intelligent memory buffer to maintain context throughout the interaction. This automation is ideal for travel agencies, booking platforms, or any service aiming to provide quick, personalized hotel suggestions to customers.
Automated Vacation Hotel Finder
Node Count | 0 – 5 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, httpRequestTool |
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