This article provides a complete, practical walkthrough of the Code Filter Create Scheduled n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Automate Your Monthly Spotify Playlist with n8n and No-code Tools
   
   Meta Description:  
   Learn how to automate the management of your monthly Spotify playlists using n8n, Spotify API, and NocoDB for a seamless music tracking experience.
   
   Keywords:  
   Spotify automation, n8n workflow, playlist creator, Spotify monthly playlist, NocoDB integration, no-code automation, automation with n8n, track liked songs, Spotify API, No-code playlist manager
   
   Third-Party APIs Used:
   
   - Spotify API (via n8n's Spotify OAuth2 integration)
   - NocoDB API (via n8n's NoCodeDB Token authentication)
   
   ⏵ Article:
   
   How to Automatically Manage Your Monthly Spotify Playlist Using n8n
   
   Manually managing playlists can be a fun but time-consuming process for music enthusiasts—especially if you're the kind of listener who curates a new list each month. What if you could automate the entire workflow of organizing your most recently liked tracks into a well-categorized monthly playlist?
   
   That’s precisely what this intelligent n8n workflow does. By integrating Spotify’s powerful API and the open-source database platform NocoDB, this workflow handles everything from collecting liked songs to storing metadata and building a personalized playlist titled with the current month—all without writing a single line of backend code.
   
   Let’s take a closer look at how it works.
   
   🚀 Automation Overview
   
   The entire workflow kicks off with a Schedule Trigger node that runs at set time intervals. The schedule can be configured to run daily, weekly, or even hourly to ensure your latest music tastes are captured.
   
   🔄 Step-by-Step Breakdown
   
   1. Get the Current Date
   The "Get current date" node uses JavaScript to format the current month and year (e.g., "September '24") and creates a human-readable label. This label becomes the name of the monthly playlist used throughout the workflow.
   
   2. Fetch Spotify Playlists and Check for Existing Monthly Playlist
   Next, the workflow retrieves all playlists from your Spotify account. It checks if a playlist for the current month (e.g., "September '24") already exists using a filter node.
   
   If the playlist does not exist:
   - A new playlist is created through the Spotify API.
   - The newly created playlist is stored in a NocoDB table containing playlist metadata like URI, name, and description.
   
   3. Get the Last 10 Liked Tracks
   The “Get last 10 liked tracks” node accesses your most recently liked Spotify songs. For each of these tracks, the system:
   - Checks if they’re already recorded in the NocoDB database (preventing duplicates).
   - If not, adds them to the database along with the date they were liked and the name of the relevant monthly playlist.
   
   4. Verify and Add Tracks to the Monthly Playlist
   Once the monthly playlist and new tracks are verified:
   - The workflow fetches the playlist's current tracklist.
   - For each song in the database marked for that playlist, the system checks if it already exists in the Spotify playlist.
   - If the song is missing, it automatically adds it using the Spotify API.
   
   📚 Database Components via NocoDB
   
   The system relies on two database tables configured in NocoDB:
   
   - Tracks Table: Stores information on each song such as the Spotify Track URI, the date it was added, and the playlist it belongs to.
   - Playlists Table: Keeps metadata about each playlist such as the Spotify URI, name, and description.
   
   📡 API Authentication and Tokens
   
   The workflow uses token-based authentication:
   - Spotify is authenticated through an OAuth2 token.
   - NocoDB is accessed via its API token.
   
   🔒 Data Accuracy and Integrity
   
   Each conditional check ensures data isn't duplicated:
   - Tracks already recorded are skipped.
   - Playlists already present in either Spotify or NocoDB are preserved.
   - Only missing pieces are created or added.
   
   🗓️ Fully Automated, Time-Aware System
   
   This efficient system doesn’t just create playlists at the beginning of each month. It continually updates them with your latest liked songs by checking in at frequent, scheduled intervals. The playlist’s label (e.g., "October '24") dynamically changes based on the system’s internal monthly timestamping.
   
   🎧 Why This Is Useful
   
   If you're an avid music listener who regularly likes songs on Spotify, this workflow centralizes music discovery and listening habits into a single playlist per month—without any manual work.
   
   By combining:
   - Spotify's API for user data & playback management
   - NocoDB as a flexible, no-code database
   - n8n's powerful automation engine
   
   …you build an intelligent, personalized music experience customized to your listening trends.
   
   🧩 Use Cases and Extensions
   
   This system can easily be extended to:
   - Share monthly playlists with friends.
   - Generate monthly listening reports.
   - Create genre-specific playlists using song metadata.
   
   Conclusion
   
   In just a few nodes, you can transform your Spotify listening experience into a fully automated music collection system that evolves with your tastes. Thanks to the no-code capabilities of n8n and integrations like Spotify and NocoDB, advanced automation is finally accessible to non-developers.
   
   Automation like this proves one key point: Workflows aren’t just for technical tasks—they can enrich your lifestyle.
   
   Set it. Tune in. Let the playlist curate itself.
   
   🎉 Happy Automating!

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.