Monitor Japan Flight Prices & Generate Booking Alerts with GPT-4o & Multi-Source Analysis
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 24 nodes and runs on a schedule (every 6 hours). Along the way it connects OpenAI Chat Model, Google Sheets, Slack and Wordpress.
How it runs
Trigger: On a schedule (every 6 hours).
- Flight Search Parameters (Edit Fields (Set)): sets 6 fields: departure_city, destination, date_range_start…
- Check Kayak API (HTTP Request): calls an HTTP API
- Check Google Flights (HTTP Request): calls an HTTP API
- Check Skyscanner (HTTP Request): calls an HTTP API
- Aggregate: combines items into one
- Flight Price Analyzer (AI Agent): runs an AI agent, with model: AI Analysis Model; output parser: Structured Output Parser
- Fetch Historical Prices (Google Sheets): uses Google Sheets
- Store Price History (Google Sheets): append
- Check If Booking Ready (If): checks a condition and branches into true / false
- Price Change Calculator (Code): runs custom JavaScript code
…plus 10 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in Flight Price Analyzer (v1.7), Advanced Flight Analyzer (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) Flight Price Analyzer (v1.7), Advanced Flight Analyzer (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (13)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Aggregate
n8n-nodes-base.aggregate - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - AI Agent
@n8n/n8n-nodes-langchain.agent - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Google Sheets
n8n-nodes-base.googleSheets - If
n8n-nodes-base.if - Slack
n8n-nodes-base.slack - Wordpress
n8n-nodes-base.wordpress - Code
n8n-nodes-base.code - Switch
n8n-nodes-base.switch
From the author
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…