Customer Review Analysis and Insights Workflow

This n8n workflow automates the process of collecting, analyzing, and extracting insights from Trustpilot customer reviews. It begins with manually triggered execution, where reviews are scraped from Trustpilot pages using HTTP requests and HTML extraction nodes. These reviews are then stored in a Qdrant vector database to facilitate similarity searches. The workflow applies clustering algorithms, like K-means, on review embeddings to group similar reviews. For each cluster, an advanced language model generates summaries and insights, which are then exported to a Google Sheet for reporting. Additional steps include clearing old data, triggering analysis workflows, and refining the review groups, making this workflow ideal for businesses seeking detailed customer feedback insights at scale.