This n8n workflow automates the handling of LinkedIn messages received via a webhook, integrating AI-powered responses, data enrichment from Unipile, and Slack notifications. It starts by receiving a message through a webhook, then checks if the message is from a specific sender before processing. The workflow enriches LinkedIn user or organization data using Unipile APIs, and intelligently responds to messages with AI-generated content. It also manages Slack interactions, such as button presses for approval or archiving messages, and updates or deletes Slack messages accordingly. Additionally, the workflow leverages a Notion database for dynamic request routing, ensuring scalable process management. This automation is ideal for enriching LinkedIn engagement, managing responses, and maintaining an organized messaging flow across platforms.
Automated LinkedIn Message Processing & Response Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, httpRequest, if, noOp, notion, respondToWebhook, set, slack, stickyNote, switch, webhook |
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