This n8n workflow streamlines the process of scraping, analyzing, and generating insights from Trustpilot customer reviews for a specific company. It begins with manual trigger and data cleanup steps, then scrapes recent reviews across multiple pages using HTTP requests. The reviews are extracted from HTML content, processed into vectors via OpenAI embeddings, and stored in a Qdrant vector database. Clustering algorithms are applied to group similar reviews, which are then analyzed by an AI language model to extract meaningful insights, themes, and sentiment. The final insights are automatically compiled and exported into a Google Sheet for easy review, supporting businesses in understanding customer feedback and improving their products or services.
Automated Customer Review Analysis and Insights Workflow
| Node Count | >20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreQdrant, code, executeWorkflow, executeWorkflowTrigger, filter, googleSheets, html, httpRequest, manualTrigger, set, splitOut, stickyNote |
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