Search and compare flights with DeepSeek AI and Google Flights API

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This workflow contains community nodes that are only compatible with the self hosted version of n8n. How it works Takes departure city, destination, and travel dates from ...

Best for

Support Chatbot automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatdeepseek, n8n-nodes-serpapi.serpapitool, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.chattrigger

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Fakhar Khan.

Original n8n.io source

1.1 Workflow description

Title: Search and compare flights with DeepSeek AI and Google Flights API
Workflow name: Search and compare flights with DeepSeek AI and Google Flights API

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

How it works

Takes departure city, destination, and travel dates from the user.
Searches multiple airlines for flight options and compares price, duration, and stops.
Suggests flexible travel dates for better deals.
Tracks selected flights and sends real-time price alerts.
Provides 24/7 AI-powered travel recommendations.

Set up steps

Add credentials for your chosen Chat Model (DeepSeek in this case) and SerpAPI (Google Flights).
In the AI Agent node, link:
- Chat Model → DeepSeek Chat Model node.
- Memory → Simple Memory node (for conversation context).
- Tool → Google_flights search in SerpApi node.
In the SerpApi node, set engine=google_flights and map input fields for departure, destination, and travel dates.
Test the workflow by providing a sample itinerary request in the Chat node’s input.
Review AI responses to ensure it searches, compares, and returns relevant flight options.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 2 - DeepSeek Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatDeepSeek - lmChatDeepSeek
Config choices: Version 1

Block 3 - Google_flights search in SerpApi

Type / Role: n8n-nodes-serpapi.serpApiTool - serpApiTool
Config choices: Version 1

Block 4 - Simple Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 5 - Chat

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.1

3. Summary Table

Workflow	Search and compare flights with DeepSeek AI and Google Flights API
Complexity	intermediate
Nodes	5
Categories	Support Chatbot, Multimodal AI
Author	Fakhar Khan
Published	13 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/7322/7322.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Support Chatbot workflows Multimodal AI workflows

Frequently asked questions

What does Search and compare flights with DeepSeek AI and Google Flights API do?

This workflow contains community nodes that are only compatible with the self hosted version of n8n. How it works Takes departure city, destination, and travel dates from ...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, Multimodal AI use case.

Fakhar Khan

3 workflows

Nodes

@n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatdeepseek n8n-nodes-serpapi.serpapitool @n8n/n8n-nodes-langchain.memorybufferwindow @n8n/n8n-nodes-langchain.chattrigger

Complexity

intermediate

Published 13 Aug 2025

Likes 0

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Install path: /data/workflows/7322/7322.json

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Search and compare flights with DeepSeek AI and Google Flights API

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

Set up steps

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - AI Agent

Block 2 - DeepSeek Chat Model

Block 3 - Google_flights search in SerpApi

Block 4 - Simple Memory

Block 5 - Chat

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions