This article provides a complete, practical walkthrough of the Telegram Splitout Create Webhook 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:**  
   Automating AI News Updates: A Smart YouTube Playlist Manager Built with n8n
   
   **Meta Description:**  
   Learn how to build an automated YouTube playlist generator using n8n, Google Sheets, and the YouTube API. This system curates daily AI news, deletes old playlists, updates trackable logs, and notifies you via Telegram.
   
   **Keywords:**  
   n8n automation, YouTube playlist automation, AI news curation, Google Sheets API, YouTube Data API, Telegram notification bot, automated workflows, content aggregation, video automation, daily playlist creator, no-code automation, AI tools
   
   ---
   
   **Automating AI News Aggregation: A YouTube Playlist Builder Powered by n8n**
   
   Today’s hyper-digital environment demands real-time content delivery. For those who consume AI-related news via YouTube, manually searching for the latest updates can be tedious and time-consuming. What if you could automatically pull fresh videos from curated channels, compile them into a new daily playlist, delete yesterday’s, and notify yourself—all without lifting a finger?
   
   This is exactly what a cleverly designed n8n workflow enables.
   
   Let’s break down how this automation works, what services it connects to, and how you can replicate or extend it to meet your own needs.
   
   ---
   
   ### Workflow Overview
   
   The “YT AI News Playlist Creator/AI News Form Updater” is an automation built in n8n, a powerful open-source no-code/low-code automation tool. It performs the following high-level functions:
   
   1. ⏰ Triggers every day at 7:15 AM.
   2. 🗑 Deletes yesterday’s playlist (to keep things fresh).
   3. 📋 Creates a new YouTube playlist with the current date in the title.
   4. 📈 Fetches the latest videos from a curated list of AI-focused YouTube channels.
   5. 📤 Adds qualifying videos (published in the past 24 hours) to the new playlist.
   6. 📓 Updates Google Sheets to log the new playlist's ID.
   7. 🔔 Sends a Telegram message to notify that the new playlist is live.
   
   ---
   
   ### Key Components & Stages
   
   #### 1. Google Sheets Integration – Channel Management
   At the heart of the system is a Google Sheet that stores channel usernames, IDs, names, and direct links. These are fetched using the YouTube API and updated automatically. This sheet acts as a dynamic source of truth for the AI news channels being monitored.
   
   A sub-workflow (triggered manually) captures new channel metadata using the `Get Channels` and `Update Google Sheet` nodes. Once in place, the main workflow knows which channels to scan for new content.
   
   #### 2. Scheduled Trigger – Set and Forget
   The core automation kicks off at 7:15 AM daily using the `Schedule Trigger`. This makes it a true "set and forget" operation—ideal for daily news gathering.
   
   #### 3. Playlist Management – Out with the Old, In with the New
   The first step in the morning workflow is to remove yesterday’s playlist using the `Delete Old Playlist` node. Next, the `Create Playlist` node builds a new playlist titled with the current date (e.g., "240706 AI News"), ensuring unique daily tracking.
   
   #### 4. Video Collection – Gathering Fresh Content
   The workflow then reads from Google Sheets to get the YouTube channel IDs, loops through them, and queries YouTube’s Data API for the latest videos posted within the last 24 hours. A filter ensures that only released (non-upcoming) videos are included.
   
   #### 5. Populating the Playlist
   After parsing and filtering, each valid video is added to the newly created playlist using the `YouTube` node in append mode. This results in a daily curated compilation of the freshest AI news videos available on YouTube.
   
   #### 6. Persistent Data Logging – Sheet Updates
   To keep track of active playlists, the new playlist ID is saved into another Google Sheet tab. This system supports deletion on the next run and provides a written record of what's been published.
   
   #### 7. Telegram Notification
   After the playlist is updated and populated, the workflow fires off a Telegram message (via the `Telegram` node), saying, “Your AI News YT Playlist has been updated.” This closes the loop between automation and human acknowledgment.
   
   ---
   
   ### Third-Party APIs Used
   
   This advanced automation uses several key APIs to function:
   
   1. 📺 YouTube Data API – To create playlists, delete them, fetch channel data, and pull recent videos.
   2. 📄 Google Sheets API – To read/write playlist and channel data.
   3. 📬 Telegram Bot API – To send notification messages about completed playlist updates.
   
   ---
   
   ### How to Set This Up
   
   1. Create a Google Sheet with the following columns:  
      - Channel User Name  
      - Channel Name  
      - Channel ID  
      - Link  
   
   2. Use the “Channel Updater” portion of the workflow to populate Channel Name, Link, and ID automatically.
   
   3. In the playlist automation:
      - Set your trigger time.
      - Input your YouTube and Google Sheets credentials.
      - Update the YouTube API key where required.
   
   4. Add your Telegram bot credentials to get completion pings.
   
   5. Optional: Remove or skip the "Delete Old Playlist" node on your first run to avoid broken references.
   
   ---
   
   ### Final Thoughts
   
   With tools like n8n, automation can bridge the gap between scattered data and structured, useful content delivery. Whether you're managing a personal media digest or building for a broader audience, this workflow showcases the power of modular automation.
   
   Automating daily video aggregation not only saves time but ensures consistency—a vital factor in staying informed in fast-moving fields like AI.
   
   So go ahead, grab a cup of coffee, and let your automation do the morning news for you.
   
   —
   
   Looking to extend this? Add sentiment analysis, categorize the playlist by AI topic, or even repurpose it for tech, politics, or health news.
   
   Automation is your assistant. You just need to give it a plan.
   
   —  
   Written by your AI Automation Assistant 🧠💡

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.