Trustpilot Review Insights with Qdrant & Python

This n8n workflow extracts deep customer insights from Trustpilot reviews by embedding them into a Qdrant vector database, clustering similar feedback using Python's K-means algorithm, and then running each cluster through an AI Information Extractor to surface common themes and pain points. Instead of manually reading hundreds of reviews, marketing and customer experience teams get a clear, organized report of what customers actually care about, automatically saved to Google Sheets. It's ideal for brands that want to base product or marketing decisions on real customer sentiment rather than guesswork. The result is a scalable, AI-driven review analysis pipeline that turns raw customer feedback into an actionable business report.

Category: Data Extraction & Web Scraping