This article provides a complete, practical walkthrough of the Rssfeedread Extractfromfile Automation 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 YouTube Video Summaries on Discord Using n8n and AI
   
   Meta Description:
   Discover how to automate sharing YouTube videos with AI-generated summaries to your Discord server using n8n, OpenAI, and the YouTube Data API. Simplify community updates and boost engagement with intelligent video briefs.
   
   Keywords:
   n8n automation, YouTube RSS, AI video summary, ChatGPT, YouTube API, Discord webhook, OpenAI GPT-3.5, automate video updates, caption analysis, community engagement
   
   Third-Party APIs Used:
   
   1. YouTube Data API (v3)
   2. OpenAI API (ChatGPT / GPT-3.5-turbo)
   3. Discord Webhook API
   
   Article:
   
   Automate YouTube Video Summaries on Discord Using n8n and AI
   
   Keeping your community or audience updated with the latest content can be time-consuming—especially when you want to distill long videos into meaningful summaries. That’s where automation and AI come to the rescue. This article will guide you through an n8n workflow that detects new YouTube uploads, retrieves their captions, summarizes them using OpenAI's ChatGPT model, and publishes a neatly formatted message directly to a Discord channel.
   
   Let’s break down how this clever automation works.
   
   Step 1: Detect New YouTube Uploads with an RSS Trigger
   
   The workflow begins with the YouTube Video Trigger node, which monitors a YouTube channel’s RSS feed for new video uploads. Every minute, this node polls the RSS feed URL:
   
   https://www.youtube.com/feeds/videos.xml?channel_id=UC08Fah8EIryeOZRkjBRohcQ
   
   Once a new video is detected, it passes key data like the video title and ID to the next stage in the workflow.
   
   Step 2: Retrieve Caption Metadata Using YouTube Data API
   
   The next node, Retrieve Caption Data, makes an authenticated call to the YouTube Data API (v3). It fetches an array of caption tracks associated with the video ID. A filtering node, Find English Captions, then uses a JMESPath expression to select only English-language caption tracks. This ensures that the summaries will be based on comprehensible text inputs for an AI language model.
   
   Step 3: Download and Convert the Captions
   
   With the correct caption ID in hand, the workflow downloads the actual caption file via the Download Captions node using YouTube OAuth2. This file is systemically converted into raw, readable text using the Caption File Conversion node. At this point, the transcript of the video is available as plain text—a perfect input for AI processing.
   
   Step 4: Generate a Summary with ChatGPT
   
   Here comes the magic. The transcript is then fed into OpenAI’s GPT-3.5-turbo model through the Caption Summary with ChatGPT node. The prompt instructs the model to summarize the video content into three concise bullet points, capturing both what the video is about and why someone should watch it. This puts the power of generative AI to work for content creators, providing them (and their audience) with meaningful, digestible previews of long-form content.
   
   Step 5: Share to Discord with Webhooks
   
   Finally, the automation posts to Discord using the Post to Discord node. It creates a message like this:
   
   🌟 New Video Alert! 🌟
   
   **{Video Title}**
   
   What's it about?
   
   - Bullet point 1
   - Bullet point 2
   - Bullet point 3
   
   [Watch NOW](video link) and remember to share your thoughts!
   
   This makes it incredibly easy for community members to stay informed and engaged—without needing to sift through YouTube themselves.
   
   Why This Matters
   
   - Save Time: No more manually writing summaries or posting links.
   - Increase Engagement: Provide your audience with instant, compelling overviews of your content.
   - Unlock Accessibility: Even users who can’t watch the video immediately can understand its value.
   - Stay Consistent: Your Discord server is always up to date with fresh content.
   
   Customize It for You
   
   You can adapt this workflow by changing the YouTube channel ID, refining the AI prompt, or embedding additional metadata such as publish date, duration, or video tags. If your videos contain multiple language captions, the filtering step can be adjusted accordingly.
   
   To get started, make sure you have the following in place:
   
   - An n8n instance (self-hosted or cloud)
   - A connected YouTube OAuth2 credential (to access captions)
   - An OpenAI API key
   - A Discord server with an incoming webhook URL
   
   In Summary
   
   This n8n workflow is a powerful example of how automation and AI can supercharge your content workflows. By combining YouTube’s RSS and captions API, OpenAI’s summarization capabilities, and Discord's webhook system, you create an intelligent feedback loop that benefits both creators and audiences alike.
   
   Whether you’re an educator, podcaster, or content creator looking to streamline your communication channels—this workflow is a game-changer. Automate the tedious, amplify the useful, and focus your time where it counts most: creation and engagement.
   
   Ready to try it yourself? Watch the full tutorial here: https://mrc.fm/ai2d
   
   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.