This article provides a complete, practical walkthrough of the Splitout Code 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:
   Unlocking Audience Insights with Automation: A Deep Dive into the YouTube Video Comment Analysis Agent Workflow Using n8n
   
   Meta Description:
   Explore how the n8n-powered YouTube Video Comment Analysis Agent automates video data and comment analysis to generate insightful, AI-driven reports for content creators. Learn about key features, workflow structure, and third-party API integrations.
   
   Keywords:
   n8n YouTube API automation, YouTube comment analysis, AI content strategy tool, GPT-4 YouTube analytics, Google Drive automation, Gmail reporting workflow, YouTube sentiment analysis, YouTube viewer insight tool, video metadata analysis, YouTube creator actionable insights
   
   Article:
   
   📽️ YouTube Video Comment Analysis Agent: Automating Insightful Content Strategy with n8n & AI
   
   For YouTube creators seeking deeper insight into what makes their content resonate, data is a goldmine—but only if you know how to extract and interpret it. Manually analyzing a video’s performance metrics and thousands of comments is both inefficient and impractical.
   
   Enter the YouTube Video Comment Analysis Agent: a powerful, automated n8n workflow that integrates third-party APIs and AI to generate a dynamic, insightful report on a YouTube video’s performance and audience interaction.
   
   This article explores how this no-code/low-code automation leverages the YouTube API, OpenAI’s GPT-4, and Google’s productivity ecosystem to produce actionable intelligence for YouTubers.
   
   🔁 Workflow Overview
   
   Built on the versatile n8n platform, this workflow is designed to be launched manually or via webhook. It takes a YouTube video ID and a Google API key as input variables. These are used to fetch detailed video statistics and an exhaustive list of viewer comments—no pagination left behind, thanks to coded nodes that dynamically handle multi-page comment retrieval.
   
   Once the data is collected, the workflow stitches together video metadata and aggregated user feedback, then feeds it to a GPT-4o (mini) AI agent for deep analysis.
   
   📊 What the Workflow Delivers
   
   The core output is a structured markdown-formatted report addressing various facets of audience engagement and video performance:
   
   1. Video Overview:
      The AI examines title, description, views, likes, and comments to provide a performance snapshot.
   
   2. Sentiment & Thematic Analysis:
      Extracts emotional tone (positive/negative/neutral) from viewer feedback and identifies recurring themes, key interest points, and common pain points.
   
   3. Actionable Content Suggestions:
      Creators get future video ideas automatically derived from viewer questions, topic suggestions, or critiques.
   
   4. Audience Profiling:
      Based on language and comment complexity, the report infers audience expertise level and interest areas.
   
   5. Collaboration Opportunities:
      Viewer cues or thematic overlaps suggest potential YouTube channels or creators for partnerships.
   
   6. Engagement Optimization:
      The report ends with a bullet list of actionable strategies to maintain or improve future video performance.
   
   📥 Delivery and Output Options
   
   Once the AI prepares the report, the workflow ensures it reaches the creator quickly and conveniently:
   
   - First, the markdown report is converted into HTML for better presentation.
   - It’s then emailed via Gmail to a predefined recipient.
   - A copy is also saved to the creator’s Google Drive for archival and future reference.
   
   📌 Noteworthy Features and Smart Design
   
   What sets this workflow apart is its multi-layered use of automation, coding, and AI technologies within n8n:
   
   - Fully automated YouTube API calls constructed via dynamic JavaScript nodes.
   - Advanced parsing of commentThread data including pagination handling.
   - Smart aggregation and summarization of comment content.
   - Integration with GPT-4o-mini for analytical and narrative generation.
   - Final output is fully customized and beautifully rendered through HTML and saved across platforms.
   
   🔧 Third-Party APIs Used
   
   This workflow integrates the following third-party services:
   
   1. YouTube Data API v3
      - Used to fetch video details and comment threads via endpoints:
        - https://www.googleapis.com/youtube/v3/videos
        - https://www.googleapis.com/youtube/v3/commentThreads
   
   2. OpenAI GPT-4o-mini (via LangChain plugin)
      - Core for natural language analysis and report generation.
   
   3. Gmail API (OAuth2)
      - Automates report delivery to the video creator's inbox.
   
   4. Google Drive API
      - Saves complete reports as text documents for record-keeping or team collaboration.
   
   🧭 Why This Workflow Matters
   
   This intelligent automation removes the guesswork from audience interaction. Creators no longer have to scroll through thousands of comments or manually interpret video metrics. The AI provides a synthesized, human-readable document packed with observations and strategies drawn directly from viewer behavior and feedback.
   
   Moreover, creators gain a repeatable, scalable way to derive content ideas, understand viewer sentiment, and guide editorial planning.
   
   🎯 Final Thoughts
   
   The YouTube Video Comment Analysis Agent demonstrates how no-code platforms like n8n can empower independent creators, marketers, and educators to act on data. With this workflow, insights aren't buried in analytics panels or lost in comment sections—they’re served directly in your inbox and Drive folder, ready to shape your next piece of content.
   
   Whether you’re a solo creator or managing a media team, this tool is a force multiplier—delivering what every creative mind craves: insight, clarity, and direction.
   
   —
   
   Ready to level up your content production? Try cloning this n8n workflow, plug in your video ID and Google API key, and let the future of content strategy begin.

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.