This n8n workflow automates the process of extracting company data from LinkedIn, generating detailed stories and summaries using Google’s Gemini AI, and notifying users via webhooks. Starting with a manual trigger, it retrieves data snapshots from Bright Data, performs content extraction, summarization, and formatting of company stories using advanced language models. The workflow includes error checks, delays for data processing, and webhook notifications for insight delivery. It is highly practical for marketing, HR, and content teams to automate company profile updates and generate engaging narratives from LinkedIn data without manual effort.
Automated Company Stories from LinkedIn with AI Insights
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainSummarization, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, httpRequest, if, manualTrigger, set, stickyNote, wait |
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