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"content": "### **How to Use This Workflow:**\n\ud83d\udcdd **YouTube Comment Sentiment Analyzer**\n\n1. \ud83d\udd18 **Trigger:** Click \"Execute Workflow\" to run it manually.\n\n2. \ud83d\udcc4 Your Google Sheet should have **2 sheets**:\n - **Sheet1 (Results with Sentiment):**\n - Column A: `commentId` (YouTube comment id)\n - Column B: `video_url` (url of video)\n - Column C: `comment` (YouTube comment)\n - Column D: `authorName` (Name of author as per Youtube)\n - Column E: `likes` (Number of likes on that particular comment)\n - Column f: `reply` (Number of replies on that particular comment)\n - Column g: `sentiment` (Analyzed sentiment of the comment)\n - Column h: `published_at` (timestamp of comment published)\n \n - **Sheet2 (Video URLs):**\n - Column A: `video_urls` (list of YouTube video URLs)\n - Column B: `last_fetched_time` (timestamp of the last fetch)\n - Column C: `next_fetch_time` (time for the next fetch)\n\n3. \ud83d\udd10 **Make sure these credentials are set up**:\n - Google Sheets (Service Account)\n - YouTube Data API v3\n - OpenAI API Key (for sentiment analysis)\n\n4. \u2705 **What this workflow does**:\n - Reads **video URLs** from **Sheet2**.\n - Checks **last fetched time** (if applicable).\n - Fetches new comments from YouTube.\n - Analyzes sentiment using OpenAI.\n - Appends **comment**, **sentiment**, **video ID**, and **timestamp** to **Sheet1**.\n - Updates **last_fetched** timestamp in **Sheet2**.\n\n5. \ud83d\udca1 **Tip:**\n - You can replace the **Manual Trigger** with a **Cron node** for automatic execution at specified intervals.\n"
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