n8n Decodo Google Gemini Sentiment Analysis Review Management

Collect reviews, analyze sentiment, and generate reports with Decodo and Google Gemini

Automate your customer feedback analysis with AI-powered sentiment scoring and automated reporting

Download Template JSON · n8n compatible · Free
Review sentiment analysis workflow diagram

What This Workflow Does

This n8n workflow automates the entire customer feedback lifecycle—from collecting reviews across platforms to generating actionable insights. It solves the challenge of manually monitoring multiple review sources while providing deeper sentiment analysis than basic star ratings.

The system extracts review data from provided URLs, uses Google Gemini's AI to analyze sentiment and key themes, then compiles professional reports with trends and actionable insights. Businesses save 10-15 hours weekly on manual review monitoring while gaining more consistent, data-driven customer intelligence.

How It Works

1. Review Collection

The workflow begins by scraping review links from your Airtable base or other data sources. It handles authentication and pagination to ensure complete data collection from each review platform.

2. Data Extraction

Using Decodo's powerful scraping capabilities, the workflow extracts structured review data including text, ratings, dates, and reviewer information. This creates a standardized dataset regardless of the original platform format.

3. Sentiment Analysis

Google Gemini processes each review, assigning sentiment scores (positive/neutral/negative) and identifying key themes, complaints, or compliments. The AI detects emotional tone and specific product/service mentions.

4. Reporting

The system generates comprehensive reports including sentiment trends over time, common complaint categories, and positive feedback highlights. Reports can be delivered via email, saved to Google Drive, or pushed to BI tools.

Pro tip: Configure alerts for negative sentiment spikes to enable rapid response to customer issues before they escalate.

Who This Is For

This workflow is ideal for customer experience teams, marketing agencies managing multiple clients, and any business receiving substantial online feedback. Specific use cases include:

  • E-commerce stores monitoring product reviews
  • Hospitality businesses tracking guest feedback
  • SaaS companies analyzing user sentiment
  • Local service providers managing Google/Yelp reviews

What You'll Need

  1. n8n instance (cloud or self-hosted)
  2. Decodo account for web scraping
  3. Google Gemini API access
  4. Review source URLs (Airtable, spreadsheet, or direct links)
  5. Destination for reports (Email, Google Drive, etc.)

Quick Setup Guide

  1. Download the JSON template file
  2. Import into your n8n instance
  3. Configure Decodo and Google Gemini API connections
  4. Set your review source (Airtable base, spreadsheet, etc.)
  5. Define report recipients and schedule
  6. Test with sample review URLs
  7. Activate the workflow

Key Benefits

Save 10+ hours weekly by automating manual review monitoring and analysis across all your platforms.

Discover hidden trends with AI-powered sentiment analysis that goes beyond star ratings to understand customer emotions.

Respond faster to issues with real-time alerts for negative sentiment spikes or specific complaint keywords.

Standardize feedback analysis across locations, products, or teams with consistent scoring methodology.

Demonstrate CX improvements with professional reports showing sentiment trends and impact of changes.

Frequently Asked Questions

Common questions about review analysis integration and automation

Sentiment analysis automatically categorizes customer reviews as positive, negative, or neutral, helping businesses quickly identify trends and issues. This AI-powered approach saves hundreds of hours compared to manual review reading while providing more consistent analysis.

For example, a restaurant chain can instantly spot location-specific complaints or menu items receiving praise across all review platforms. The system quantifies subjective feedback into actionable metrics that track over time.

  • Identifies emerging issues before they escalate
  • Provides objective scoring of subjective feedback
  • Enables comparison across locations/time periods

E-commerce stores, SaaS companies, hospitality businesses, and any service providers with online reviews benefit significantly. These businesses typically receive high volumes of feedback across multiple platforms that's impossible to monitor manually.

A hotel group with 50 properties, for instance, could automatically track guest satisfaction across Booking.com, Google Reviews, and TripAdvisor in real-time. The system aggregates all feedback into a single dashboard with comparable metrics.

  • Multi-location businesses gain centralized visibility
  • High-volume review platforms need automation
  • Product-based businesses track item-specific feedback

Modern AI like Google Gemini achieves 85-90% accuracy in sentiment analysis, with particular strength in identifying strong positive or negative emotions. While humans better understand nuanced sarcasm or cultural references, AI provides consistent, scalable analysis.

Most businesses use AI for initial filtering, then have staff review only the most critical feedback flagged by the system. This hybrid approach combines AI efficiency with human judgment where it matters most.

  • AI excels at volume and consistency
  • Humans handle complex language nuances
  • Combined approach maximizes efficiency

The workflow can connect with any platform that provides API access or public review pages, including Google Reviews, Yelp, Trustpilot, G2, Capterra, and App Store reviews. For e-commerce, it integrates with Shopify, Amazon, and eBay seller feedback.

The system is particularly valuable for aggregating reviews from multiple sources into a single dashboard. A software company could combine feedback from their website, app stores, and third-party review sites for complete visibility.

  • Supports 50+ major review platforms
  • Handles both API and web scraping
  • Normalizes data from different sources

High-volume businesses should analyze reviews daily to catch emerging issues quickly, while others benefit from weekly analysis. The key advantage of automation is enabling real-time alerts for negative reviews while providing monthly trend reports.

A retail brand might monitor daily for urgent complaints while tracking overall sentiment monthly to measure CX improvements. The system can be configured for different alert thresholds and reporting frequencies based on business needs.

  • Daily for high-volume/high-impact feedback
  • Weekly for most service businesses
  • Monthly trend analysis for all

Yes, advanced NLP can identify and categorize mentions of specific products, features, or service aspects within reviews. This allows businesses to quantify feedback about particular menu items, software features, or staff interactions.

For example, a SaaS company could automatically track how often users mention their new dashboard interface and whether feedback is positive. A hotel could measure sentiment around specific amenities like pool cleanliness or breakfast quality.

  • Tracks mentions of specific features/products
  • Measures sentiment around service aspects
  • Identifies improvement opportunities

Yes, GrowwStacks specializes in building tailored review monitoring systems that connect to your specific platforms and deliver insights in your preferred format. Our team can create custom dashboards, alert thresholds, and reporting workflows that match your business processes.

We've built solutions for franchises, e-commerce brands, and B2B SaaS companies needing specialized review intelligence. Our custom automations typically integrate with your existing CRM, helpdesk, or BI tools for seamless workflow integration.

  • Custom platform integrations
  • Branded reporting formats
  • Specialized alert logic

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