This workflow automates enriching LinkedIn profiles, generating personalized ice breakers using an AI language model, and updating a Google Sheet with the insights and generated messages. It is designed for prospect outreach, sales, or networking automation.

The process begins when the workflow is manually triggered or scheduled. It retrieves a list of LinkedIn URLs from a Google Sheet, then for each prospect, it initiates a Bright Data snapshot request to fetch profile data. The workflow waits for the snapshot completion, checks the status periodically, and once ready, retrieves the profile data via Bright Data API.

Using the fetched data, it updates the Google Sheet with the prospect’s details. Next, it runs an AI model (Claude) to craft a witty and personalized ice breaker message, focusing on recent posts or profile information to make outreach more engaging.

The ice breaker is then written back into the Google Sheet, completing the loop for each prospect. This automation can be used for personalized outreach campaigns, lead generation, or networking activities on LinkedIn, making outreach more efficient and tailored.

Key nodes include manual triggers, Google Sheets integrations, Bright Data API requests for profile enrichment, wait nodes to handle asynchronous API responses, and LangChain AI nodes for generating customized messages.

Node Count	>20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatAnthropic, googleSheets, httpRequest, if, manualTrigger, scheduleTrigger, set, splitInBatches, stickyNote, wait