This article provides a complete, practical walkthrough of the Wait 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: Automate Your Daily Podcast Digests with This Intelligent n8n Workflow
   
   Meta Description: 
   Discover how to automate daily summaries of top podcast episodes with this powerful n8n workflow. Using OpenAI, Taddy, and Gmail APIs, receive transcribed and summarized podcast content right in your inbox.
   
   Keywords:
   n8n workflow, podcast automation, daily podcast summary, OpenAI Whisper, GPT-4o, Taddy API, Gmail automation, podcast transcription, podcast email digest, productivity automation
   
   Third-Party APIs Used:
   
   1. Taddy API – to fetch top podcast episodes by genre
   2. OpenAI API – to transcribe (Whisper) and summarize (GPT-4o) podcast audio
   3. Aspose Audio Cutter API – to crop podcast audio files
   4. Gmail API – to send the summarized podcast report via email
   
   Article:
   
   Automate Your Daily Podcast Digests with This Intelligent n8n Workflow
   
   Podcasts are a great way to stay informed, but keeping up with the ever-growing list of daily episodes can be overwhelming. If you're someone who wants the insights of top podcast episodes without committing to hours of listening time, this n8n workflow is for you. Leveraging AI and automation, this workflow gathers the top podcast episodes in a genre of your choice, transcribes and summarizes them using OpenAI, and delivers a clean, HTML-formatted summary straight to your inbox.
   
   Let’s break down how this workflow functions and how you can set it up with minimal technical skill.
   
   📥 Step 1: Scheduling and Podcast Retrieval from Taddy
   
   Every morning (by default at 8:00 AM), a schedule node triggers the workflow. It starts by defining a target genre—such as TECHNOLOGY, NEWS, COMEDY, or SPORTS—using the Genre node.
   
   Using the Taddy API, a POST request is made to fetch the day’s top 10 podcast episodes in the selected genre from the Apple Podcast Charts. This step gives you the freshest, most popular conversations in your chosen category. You’ll need to sign up for an API key on taddy.org and configure the TaddyTopDaily node with your API credentials—specifically X-USER-ID and X-API-KEY headers.
   
   🔊 Step 2: Downloading and Cropping the Podcast Audio
   
   After retrieving the episode metadata and audio URL, the workflow expands (splits out) the podcast episodes to process them individually. In order to keep things efficient and processable, each episode is cropped down to a key segment—specifically around the 8:00 to 24:00 minute mark—using Aspose’s free Audio Cutter API.
   
   This cropping ensures a manageable audio length for transcription and summarization, which also reduces API latency and costs.
   
   🧠 Step 3: Transcribe and Summarize with OpenAI
   
   Once the cropped audio is successfully downloaded, it is passed to OpenAI’s Whisper model for transcription. This speech-to-text engine, renowned for its accuracy, converts podcast speech into readable text.
   
   The transcribed content is then handed off to GPT-4o-small (via OpenAI API once again), with a carefully crafted prompt asking to "Summarize the major points of the following podcast". The AI is instructed to produce a summary within 3–4 short paragraphs, prioritizing clarity and relevance, allowing readers to grasp the main idea quickly.
   
   📃 Step 4: Formatting the Final Summaries
   
   After all episodes have been transcribed and summarized, the workflow uses the Merge Results and HTML nodes to generate a cleanly formatted HTML email. This email includes a table that displays each podcast's name (as a link to the audio), episode title, and AI-generated summary.
   
   📧 Step 5: Sending the Summary to Your Inbox
   
   Finally, using the Gmail API node—linked via OAuth2 credentials from your Google Developer Console—the workflow sends the completed summary digest to your email. All you have to do is open your inbox and start your day informed.
   
   Setup Steps You’ll Need to Do:
   
   - Sign up for Taddy and obtain your developer API key and user ID.
   - Configure Gmail OAuth2 credentials and input them into the Gmail node.
   - Choose your desired podcast genre in the "Genre" node (e.g., TECHNOLOGY, ARTS).
   - Optionally adjust the schedule time if you'd prefer the email summary to arrive at a different hour.
   - Test the workflow using the 'Test Workflow' feature in n8n.
   
   Why This Workflow Matters
   
   Whether you're a busy professional, content curator, or simply a podcast enthusiast, this intelligent automation enables you to absorb critical insights from multiple episodes in minutes. Plus, with AI-generated summaries and full inbox delivery, you no longer need to juggle podcast apps or playback speeds.
   
   This workflow is a prime example of how low-code automation and powerful AI APIs can simplify your digital life. Best of all, it's customizable, scalable, and improved over time with better training models and metadata access.
   
   —
   
   In Conclusion
   
   Automating your podcast intake is no longer a futuristic idea—it’s practical and incredibly useful. With this n8n-powered workflow combining Taddy’s chart data, OpenAI’s advanced language models, Aspose’s cropper, and Gmail’s delivery engine, all you need to do is sit back, relax, and read your digest while sipping your coffee.
   
   Set it once, and let your AI assistant keep you podcast-savvy—every single day.
   
   Want the full workflow setup? Just plug this JSON into any self-hosted or cloud n8n instance and follow the sticky notes in the canvas for guidance.
   
   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.