This article provides a complete, practical walkthrough of the Splitout Code 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:
   Supercharge Your Spotify Organization: Automate Track Archiving and Playlist Classification with n8n & AI
   
   Meta Description:
   Discover how to automate your Spotify music management using n8n. This workflow archives liked tracks to Google Sheets and uses Claude 3.5 AI to classify them into thematic playlists—no manual sorting required.
   
   Keywords:
   n8n Spotify automation, Spotify playlist AI, Google Sheets Spotify integration, Claude 3.5 Sonnet playlist sorter, automate Spotify liked songs, music archiving workflow, Spotify AI classification, organize Spotify tracks automatically, AI music playlist management, Spotify productivity tool
   
   Third-Party APIs Used:
   
   1. Spotify API (via n8n Spotify Nodes)
      - Scope: Retrieve user playlists, fetch user’s saved tracks, extract audio features, update playlists
      - Authentication: OAuth2
      - Usage: Core data source for track and playlist information.
   
   2. Google Sheets API (via n8n Google Sheets Nodes)
      - Scope: Archive track metadata and playlist information into Google Sheets
      - Authentication: Google OAuth2
      - Usage: Serves as persistent storage and filtering layer for duplicate detection.
   
   3. Anthropic Claude 3.5 Sonnet (via n8n LangChain integration)
      - Scope: Natural language processing for classifying new tracks into suitable playlists
      - Authentication: API Key
      - Usage: Advanced AI used to infer playlist relevance based on track features and playlist descriptions.
   
   Short Article (≈750 words):
   
   Automate Your Music Universe: AI-Powered Spotify Track Organization with n8n
   
   The way we engage with music has transformed thanks to streaming platforms like Spotify, offering personalization, endless libraries, and curated playlists. But as your "Liked Songs" grows into the thousands, relying on manual playlist management feels like trying to alphabetize a digital haystack. Enter n8n—a powerful low-code automation platform—and Claude 3.5 Sonnet, Anthropic’s generative AI model. Together, they create a seamless workflow that retrieves your latest favorites, logs them to Google Sheets, and auto-classifies them into your hand-crafted playlists. All this happens on a predefined schedule, making it the dream tool for every music lover who wants control without the chaos.
   
   The Use Case: Organizing Your Listening Habits
   
   If you are an avid Spotify user, chances are your library is filled with musical gems—spanning moods, genres, and decades. This n8n workflow removes the repetitive labor of archiving and sorting. It not only logs each new track's metadata and audio profile to a Google Sheet but also leverages AI to assign it to one or more categorized playlists using descriptions you've predefined.
   
   This setup is particularly useful for listeners who:
   - Maintain genre-, activity-, or mood-based playlists (workout vibes, classical focus, sunny day reggae).
   - Want a historical record of their listening habits.
   - Prefer an automated, intelligent system over manual sorting.
   
   Workflow Breakdown
   
   Here's a glimpse into how this automation marvel works:
   
   1. Triggered on Your Schedule:
      A Schedule Trigger node initiates the workflow monthly, retrieving your latest liked tracks and playlist information from your Spotify account.
   
   2. Playlist Curation & Metadata Extraction:
      Using the Spotify node, the workflow fetches your user-created playlists and filters them by ownership (e.g., playlists made by “Arnaud”). From there, it collects essential metadata such as playlist name, description, and URI.
   
   3. Track Processing Begins:
      The workflow grabs your recently liked or saved tracks, including track name, artist, album, Spotify URI, and popularity. Then, it leverages the Spotify API’s audio-features endpoint to enrich this data with musical insights such as tempo, danceability, energy, valence (happiness), and acousticness.
   
   4. Smart Deduplication:
      This information is compared to your Google Sheet ("tracks listing") to filter out any tracks already archived from earlier runs. Only fresh tracks will proceed to the next stages.
   
   5. Google Sheets Archiving:
      The new tracks are appended to your archive sheet with full tagging—from basic metadata (e.g., artist, album) to audio attributes (e.g., tempo, loudness, mood metrics).
   
   6. Claude 3.5 Analyzes It All:
      Here’s where the magic unfolds. Claude, an advanced AI powered by Anthropic’s Claude 3.5 Sonnet model, receives all the track data along with your curated playlist definitions (like “Groove Up” for feel-good tracks or “To Sing” for karaoke-friendly tunes). It exhaustively analyzes each track and maps it to the most suitable playlists. Bonus? A single track can belong to multiple playlists.
   
   7. Update Your Playlists Instantly:
      The AI response is parsed, grouped, and sent back to Spotify, where the corresponding tracks are added to each playlist using batch requests—ensuring a smooth and efficient update without manual intervention.
   
   Customization Heaven
   
   This workflow is not just functional—it’s remarkably adaptable:
   
   - Add Your Own Playlist Themes: Craft new playlists with descriptive texts, and Claude will use them for smarter classification.
   - Modify Frequency: Set the trigger to run weekly, monthly, or even manually if you prefer one-off updates.
   - Adjust AI Prompting: Control Claude’s classification style by refining prompts—go more genre-specific or mood-based.
   - Optional Manual Verification: You can disable automation at the final step for semi-automated reviews if you prefer some curation control.
   
   Practical Benefits
   
   - Saves Hours Monthly: No more dragging tracks into playlists one by one.
   - Achieves Playlist Consistency: AI-driven classification ensures logical groupings.
   - Generates an Archival Trail: A Google Sheet builds a longitudinal record of your evolving music taste.
   - Lightweight & Affordable: Estimated cost for 300 tracks = ~$0.20 in Claude token usage.
   
   Conclusion
   
   This n8n + Claude 3.5 integration is a game-changer for music aficionados seeking smart, structured playlist ecosystems. Whether you're a casual listener or hobbyist DJ, you’ll appreciate the seamless balance of automation, AI intelligence, and user control. Turn your chaotic song collection into a symphony of well-ordered musical experiences—automatically.
   
   Ready to tune up your playlists with the power of automation? Let your music sorting be as elegant as your song selections.
   
   — End —

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.