Why Use This Automation
This powerful n8n workflow automates the extraction and summarization of Yelp business reviews using Bright Data web scraping and Google Gemini AI, transforming unstructured customer feedback into actionable business intelligence. Companies struggling to manually analyze customer sentiment can now leverage this advanced automation to quickly understand their online reputation, identify key strengths and improvement areas, and make data-driven decisions without hours of manual review.
Time Savings
Save 8-12 hours per week of manual review and analysis time
Cost Savings
Reduce customer insights operational costs by $1,200-$2,400 monthly
Key Benefits
- ✓Automatically extract comprehensive Yelp review data in real-time
- ✓Generate AI-powered summaries of customer sentiment
- ✓Reduce manual review time by up to 90%
- ✓Gain instant insights into business performance and customer experience
- ✓Scalable solution for businesses of all sizes
How It Works
The workflow begins with a manual trigger, using Bright Data's web scraping capabilities to extract Yelp reviews for a specific business. The extracted data is then processed through a series of HTTP requests and data manipulation nodes. Google Gemini AI analyzes the collected reviews, generating concise summaries and sentiment analysis. The workflow integrates multiple n8n nodes to handle data routing, error management, and final output generation.
Industry Applications
Retail
E-commerce and brick-and-mortar stores can monitor online reputation, understanding customer experiences and adapting marketing and product strategies accordingly.
Hospitality
Restaurants and hotels can instantly track customer satisfaction, identifying recurring themes in reviews to improve service quality and address potential issues quickly.
Professional Services
Consulting firms, law offices, and agencies can track client feedback across platforms, maintaining high service standards and reputation management.