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Personalized Taiwan indie music recommendations with AI, star sign & weather via Spotify

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Personalized Taiwan indie music recommendations with AI, star sign & weather via Spotify preview
Open on n8n.io

Important notice

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

1. Workflow Overview

This n8n workflow recommends Taiwan indie music based on a user's city, mood, birthday, today's weather, and star sign. Here's a concise overview: 1. Trigger : Starts manually with the "When clicki...

Best for

  • Personal Productivity automation workflows
  • Multimodal AI automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, @n8n/n8n-nodes-langchain.openai, @n8n/n8n-nodes-langchain.informationextractor, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.spotify, n8n-nodes-base.set, n8n-nodes-base.stickynote

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Personalized Taiwan indie music recommendations with AI, star sign & weather via Spotify
Workflow name
Personalized Taiwan indie music recommendations with AI, star sign & weather via Spotify

This n8n workflow recommends Taiwan indie music based on a user's city, mood, birthday, today's weather, and star sign. Here's a concise overview:

  1. Trigger: Starts manually with the "When clicking ‘Test workflow’" node.
  2. Input Setup: The "infomation" node sets user inputs (e.g., city: Taipei, mood: Happy, birthday: 1996/11/21).
  3. Song Recommendation: The "get song recommendation" node uses OpenAI's GPT-4o-mini to:
    • Fetch today's weather for the specified city.
    • Determine the user's zodiac sign from their birthday.
    • Check the zodiac sign's daily fortune.
    • Recommend a Taiwan indie song considering weather and fortune.
    • Explain the song choice and highlight its features.
    • Return results in JSON format.
  4. Data Extraction: The "Information Extractor" node parses the JSON output, extracting fields like date, city, weather, zodiac sign, fortune, song, artist, and additional info.
  5. Spotify Search: The "Spotify" node searches for the recommended song using the artist and song name, retrieving a Spotify URL.
  6. Final Output: The "Final Output" node compiles all data, including the Spotify link, into a structured format.
  7. Additional Note: A "Sticky Note" provides context about the workflow's purpose and credits the creator, n8nguide.

This workflow integrates AI, weather data, astrology, and Spotify to deliver personalized Taiwan indie music recommendations.

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 - When clicking ‘Test workflow’

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

Block 2 - get song recommendation

Type / Role
@n8n/n8n-nodes-langchain.openAi - openAi
Config choices
Version 1.8

Block 3 - Information Extractor

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

Block 4 - OpenAI Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 5 - Spotify

Type / Role
n8n-nodes-base.spotify - spotify
Config choices
Version 1

Block 6 - Final Output

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 7 - infomation

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 8 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 9 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 10 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 11 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Personalized Taiwan indie music recommendations with AI, star sign & weather via Spotify
Complexity intermediate
Nodes 11
Categories Personal Productivity, Multimodal AI
Author clancy jack
Published 19 May 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/4210/4210.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

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

  4. 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. 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.

Frequently asked questions

What does Personalized Taiwan indie music recommendations with AI, star sign & weather via Spotify do?

This n8n workflow recommends Taiwan indie music based on a user's city, mood, birthday, today's weather, and star sign. Here's a concise overview: 1. Trigger : Starts manually with the "When clicki...

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 Personal Productivity, Multimodal AI use case.