Reddit Comment Sentiment Analysis with Bright Data and Gemini AI to Google Sheets

Description

This workflow automatically analyzes Reddit comments to understand public sentiment and community reactions. It saves you hours of manual reading by using AI to classify comments as positive, negative, or neutral, providing instant insights into how people feel about any Reddit post.

Overview
This workflow scrapes Reddit post comments using Bright Data's web scraping capabilities, then uses Google Gemini AI to analyze the sentiment of each comment. The results are automatically saved to Google Sheets with the comment text, sentiment classification, and reasoning behind each classification.

Tools Used
n8n**: The automation platform that orchestrates the workflow
Bright Data**: For scraping Reddit comments without restrictions or rate limits
Google Gemini**: AI model for intelligent sentiment analysis
Google Sheets**: For storing and tracking sentiment analysis results

How to Install
Import the Workflow: Download the .json file and import it into your n8n instance
Configure Bright Data: Add your Bright Data credentials to the scraping nodes
Set Up Google Gemini: Configure your Google Gemini API credentials
Configure Google Sheets: Connect your Google Sheets account and copy the template spreadsheet
Customize: Simply paste any Reddit post URL and run the workflow

Use Cases
Brand Monitoring**: Track sentiment around your brand or products on Reddit
Product Managers**: Understand user feedback and pain points from Reddit discussions
Market Research**: Analyze community reactions to news, launches, or announcements
Community Managers**: Monitor sentiment trends and identify issues early
Content Creators**: Gauge audience reactions to topics before creating content

Connect with Me
Website**: https://www.nofluff.online
YouTube**: https://www.youtube.com/@YaronBeen/videos
LinkedIn**: https://www.linkedin.com/in/yaronbeen/
Get Bright Data**: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission)

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