Reddit WWDC25 comment sentiment analysis to Google Shee

This automation workflow enables real-time tracking of public opinion about Apple products. It starts manually, scrapes recent Reddit posts about #WWDC25 via BrightData, filters relevant Apple-related content using AI classification, performs sentiment analysis on comments with Google Gemini, and exports structured results to Google Sheets for reporting and analysis.

## Who it´s for
- Marketers tracking reactions to Apple announcements
- Product analysts studying user feedback
- Researchers monitoring sentiment in tech communities
- Brand specialists observing WWDC mentions

## What the automation does
- Triggered manually in n8n
- Initiates Reddit post scraping via BrightData API
- Checks job status and waits until data is ready
- Filters posts for relevance (WWDC / Apple vs unrelated topics) using LangChain and Google Gemini
- Performs sentiment analysis (positive/negative/neutral) on each comment
- Excludes ´Not clear´ emotion labels from final dataset
- Merges and stores cleaned results in Google Sheets

## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic based on manual execution
- Integrations with BrightData, Reddit, Google Gemini, and Google Sheets
- Basic text instructions for launch and adaptation

## Requirements for setup
- n8n instance (cloud or self-hosted)
- BrightData account with Reddit scraping access
- Google Cloud project with Google Gemini API enabled
- Google Sheet for result export

## Benefits and outcomes
- Automated collection and sentiment analysis without manual search
- Fast access to qualitative insights on new iOS features
- Regular monitoring of public opinion trends
- Data-driven reporting and presentation preparation
- Identification of key discussion themes: performance, UI design, new tech

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.