YouTube Comment Sentiment Analyzer with Google Sheets & OpenAI

# YouTube Comment Sentiment Analyzer with Google Sheets & OpenAI --- ### Who Should Use This? Influencers, marketers, and data teams who need **instant insights** into audience sentiment without manual exports or scattered tools. --- ### The Challenge - **Manual exports** from YouTube Studio - **Time-consuming** sentiment tagging - **Data scattered** across multiple platforms Our workflow automates **everything**: from fetching comments to logging analysis—so you can focus on insights, not spreadsheets. --- ### What You'll Get 1. **Dynamic Input** Read a list of YouTube URLs from your Google Sheet. 2. **Full Comment Harvest** Pull **all** top-level comments (handles pagination 100/page). 3. **Deep Sentiment Scan** Classify each comment as **Positive**, **Neutral**, or **Negative** using OpenAI. 4. **Smart Formatting** Capture metadata (author, likes, timestamp) alongside sentiment. 5. **Seamless Storage** Append or update rows in your Google Sheet—ready for reporting. --- ### Easy Setup 1. **Prepare Google Sheet** - Create a sheet with a `video_urls` column (full YouTube links). - Add and authorize a Google Sheets OAuth or service-account credential in n8n. 2. **Enable YouTube API** - Activate Data API v3 in Google Cloud, grab an API key, and save as an HTTP credential in n8n. 3. **Configure OpenAI** - Enter your API key under the “OpenAI Chat” credential in n8n. 4. **Import the Workflow** - Paste the provided JSON into n8n. 5. **Run Manually** - Use the **Manual Trigger** node to start fetching and analyzing comments on demand. --- ### Customize to Your Needs - **Filter Comments**: Add an IF node to process only comments with specific keywords or minimum likes. - **Automate Schedule**: Swap the Manual Trigger for a Cron node if you later want periodic runs. - **Extended Analysis**: Swap sentiment classification for topic extraction, summarization, or translation by tweaking the LLM prompt. - **Alternate Destinations**: Replace Google Sheets with Airtable, Notion, or any database node. --- ### Tags ``YouTube`` ``Google Sheets`` ``OpenAI`` ``Sentiment Analysis`` ``n8n`` ``Manual Trigger``