This n8n workflow automates the process of scraping LinkedIn profile data, extracting key skills, experience summaries, and basic profile information, then storing and updating this data in a database like Supabase. It begins with a webhook trigger, allowing manual or automated initiation. The workflow retrieves profile data from a LinkedIn URL via BrightData, then uses Google Gemini’s AI models to analyze and extract specific information such as skills, experiences, and basic profile info. Extracted content is summarized and formatted into Markdown, then stored or updated in a Supabase database. This setup is highly useful for recruiters, market researchers, or content aggregators who want to compile structured LinkedIn data for analysis or outreach automation.

Node Count	>20 Nodes
Nodes Used	@brightdata/n8n-nodes-brightdata.brightData, @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, aggregate, if, merge, respondToWebhook, set, stickyNote, stopAndError, supabase, webhook