This workflow automates the process of capturing Etsy reviews and sending real-time alerts to a Slack channel, while also leveraging AI to analyze and log review data for further insights. Starting with a webhook trigger, it receives reviews submitted on Etsy, then splits the review text for detailed processing. Using OpenAI’s language models, the workflow generates embeddings and stores them in a Supabase vector database for semantic searching. It employs an AI RAG (retrieval-augmented generation) agent to analyze the review context, logs the processed data into a Google Sheet, and sends an alert to Slack if any error occurs. This setup is ideal for Etsy sellers or customer support teams who want to monitor reviews efficiently, analyze customer feedback with AI, and immediately stay updated via Slack notifications.
Automated Etsy Reviews Monitoring via Slack and AI
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreSupabase, googleSheets, slack, stickyNote, webhook |
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