This n8n workflow enables an intelligent chat-based system to gather and update local business data automatically. When a chat message is received, it is processed using GPT-4o-mini, which maintains conversation context with a memory buffer. The workflow incorporates Dumpling AI’s agents to perform specific tasks: one fetches local business details, while another retrieves relevant news. The aggregated information is then seamlessly stored and updated in an Airtable database, providing an efficient solution for managing local business insights. This setup is ideal for businesses or services that need to collect, update, and analyze local business data constantly, such as marketing agencies, review platforms, or local directories.
Automated Local Business Data Collection with AI
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolHttpRequest, airtableTool, stickyNote |
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