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 with AI and Send to Discord Using n8n
   
   Meta Description:
   Learn how to build an automated n8n workflow that fetches new YouTube videos, generates AI-powered summaries using ChatGPT, and posts them to a Discord channel. Perfect for YouTubers and content communities.
   
   Keywords:
   n8n automation, YouTube API, Discord webhook, ChatGPT summary, video summarization, workflow automation, AI content, OpenAI API, automation tutorial, YouTube captions
   
   Third-Party APIs Used:
   
   1. YouTube Data API v3 – For retrieving video captions
   2. OpenAI API (ChatGPT – gpt-3.5-turbo) – To generate summaries from YouTube transcripts
   3. Discord Webhook API – To post the summary to a Discord channel
   
   Article:
   
   Automate Your YouTube Video Summaries and Share Them on Discord with n8n
   
   If you're a content creator who wants to keep your audience updated on Discord or a community manager that promotes YouTube videos, doing everything manually can be incredibly time-consuming. Luckily, with n8n — a powerful open-source workflow automation tool — it's now possible to automate the entire process of grabbing new YouTube videos, summarizing them using AI, and pushing those updates straight into your Discord server.
   
   In this article, we're diving into a practical n8n workflow that does exactly that. With the help of YouTube’s RSS feed, OpenAI’s ChatGPT, and a Discord webhook, you can eliminate the manual effort of summarizing and sharing your content.
   
   Let’s explore how it all works.
   
   📽 Step 1: Monitor New YouTube Videos
   
   At the heart of this workflow is the RSS Feed Trigger node, configured to poll a specific YouTube channel via its RSS feed. By using a URL like:
   
   https://www.youtube.com/feeds/videos.xml?channel_id=YOUR_CHANNEL_ID
   
   …the workflow will actively monitor the channel every minute for new video uploads. As soon as a new video appears, it triggers the sequence.
   
   🌐 Step 2: Retrieve Caption Metadata via YouTube API
   
   Once a video is detected, the workflow uses the YouTube Data API to fetch the list of available caption tracks for that video. This is done using the HTTP Request node with pre-authorized credentials. The API call pulls metadata such as language, ID, and type of caption files available.
   
   ✅ Pro Tip: This step ensures that only videos with available captions are processed — a crucial requirement since the transcript forms the basis for the AI-generated summary.
   
   🗣 Step 3: Filter for English Captions
   
   With multiple caption tracks possibly available, we don't want subtitles in languages we can't process. Using a Set node with JMESPath filtering, this workflow isolates the English transcription caption from the API response (if available).
   
   📥 Step 4: Download Caption Contents
   
   Once the English caption track is identified, another HTTP Request node reaches out to the YouTube API again — this time to retrieve the full caption file content using its unique ID.
   
   📄 Step 5: Convert Caption File to Raw Text
   
   The caption file, typically in XML or SRT format, needs to be cleanly converted into plain readable text. n8n’s “Extract From File” node accomplishes this, extracting only the transcript text so it’s ready for natural language processing.
   
   🧠 Step 6: Create AI Summary with ChatGPT
   
   Now comes the magic. Using the OpenAI node integrated into n8n, the transcript is sent to ChatGPT (gpt-3.5-turbo model) with a prompt to summarize the video in three insightful bullet points. This makes it user-friendly and highly digestible for your Discord audience.
   
   Here’s a sample prompt used in the workflow:
   
   "Summarise this transcript into three bullet points to sum up what the video is about and why someone should watch it."
   
   The result is compelling and quick-to-read summary content that can easily drive engagement.
   
   📢 Step 7: Post to Discord
   
   Finally, the summary and video link are published to your Discord channel using a Discord Webhook node. The message is smartly formatted to include the video title, the AI summary, and a clickable link inviting users to "Watch NOW."
   
   Here’s a sample output:
   
   🌟 New Video Alert! 🌟
   
   **“How AI Is Changing the Music Industry”**
   
   What’s it about?
   • Explores emerging trends in AI-powered music creation
   • Interviews with experts in audio engineering and AI
   • Discussion on the ethical implications of AI in creative fields
   
   [Watch NOW](https://www.youtube.com/watch?v=example) and remember to share your thoughts!
   
   🎯 Use Cases
   
   This workflow is perfect for:
   - YouTubers who want to promote their content in communities
   - Discord servers for fans or niche audiences
   - Educational channels curating knowledge for subscribers
   - Automated content hubs or AI-curated news feeds
   
   🧩 Why Use n8n?
   
   n8n (which stands for “nodemation”) is a powerful low-code automation tool that allows you to connect APIs together visually. It gives you full control over the data flow and supports complex logic between steps — all without needing to write heavy code.
   
   With out-of-the-box support for APIs like YouTube, OpenAI, and Discord, this workflow can be built entirely using native nodes and secure credentials.
   
   🛠 Setup Tips
   
   - You’ll need your YouTube channel’s ID and authorized access credentials with the YouTube Data API.
   - Set up an OpenAI API key with access to GPT-3.5-turbo.
   - Create an incoming webhook in your Discord server for automated messages.
   - Make sure to test for videos that may not have captions — error-handling nodes can enhance reliability.
   
   📌 Conclusion
   
   With this n8n pipeline, you automate a real-world content task — producing and sharing AI-generated summaries of YouTube videos. This saves time, amplifies reach, and keeps your community engaged.
   
   Watch the full tutorial here: https://mrc.fm/ai2d
   
   Whether you're a creator, community manager, or automation enthusiast, this use-case showcases the real synergy of AI and low-code flows.
   
   Now get building — your content deserves the spotlight.

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.