WhatsApp Group Messages Summarization Workflow

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This n8n workflow automates the collection, organization, and summarization of messages from a WhatsApp group. Triggered by a webhook when new messages arrive, it gathers conversation data, filters relevant messages, and uses AI-powered language modeling to generate concise summaries. These summaries are then saved in Google Sheets for easy reference.

The process begins with a webhook that captures incoming WhatsApp messages, which are then aggregated and organized. The workflow fetches conversation data from Google Sheets, filtering messages based on specified groups. It integrates with the Evolution API to enhance group analysis and employs the ChatModel node to create meaningful summaries of the conversations. The breakdown of these steps helps users monitor group activity, generate quick summaries, and maintain records, making it ideal for managing active group chats or customer support channels.

This setup is especially practical for community managers, social media teams, or any users needing automatic insights and summaries from WhatsApp group discussions, saving time and improving communication clarity.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.chainSummarization, @n8n/n8n-nodes-langchain.lmChatOpenAi, aggregate, code, googleDrive, googleSheets, httpRequest, if, scheduleTrigger, set, stickyNote, webhook

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