Monitor Japan Flight Prices & Generate Booking Alerts with GPT-4o & Multi-Source Analysis — n8n Workflow
Overview
How It Works Scheduled triggers run automated price checks across multiple travel data sources. The collected data is aggregated, validated, and processed through an AI analysis layer that compares trends, detects anomalies, and evaluates multi-criteria factors such as price movement, seasonality, and route demand. The system then routes results into booking preparation, report generation, and notification modules. When target price conditions are met, alerts are sent and records are updated acc
Nodes used
Workflow Preview
How it Works
- 1
Trigger
The workflow starts with a scheduled trigger, running on a defined schedule.
- 2
Process
Data flows through 24 nodes, connecting agent, aggregate, code.
- 3
Output
The workflow completes its automation and delivers the result to the configured destination.
Node Details (24)
Google Sheets
googleSheets
HTTP Request
httpRequest
Slack
slack
Wordpress
wordpress
Code
code
AI Agent
n8n-nodes-langchain.agent
OpenAI Chat Model
n8n-nodes-langchain.lmChatOpenAi
Structured Output Parser
n8n-nodes-langchain.outputParserStructured
How to Import This Workflow
- 1Click Download JSON button on the right to save the workflow file.
- 2Open your n8n instance. Go to Workflows → New → Import from file.
- 3Select the downloaded
monitor-japan-flight-prices-generate-booking-alerts-with-gpt-4o-multi-source-analysisfile and click Import. - 4Set up credentials for each service node (API keys, OAuth, etc.).
- 5Click Test Workflow to verify everything works, then activate it.
Or paste directly in n8n → Import from JSON:
Integrations
Created by
Cheng Siong Chin
@cschin
Tags
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