Automated Twitter Profile Analysis and Data Logging

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This n8n workflow streamlines the process of identifying, analyzing, and recording Twitter (X) profiles and their posts. Users start by submitting a person’s full name through a form, triggering a series of automated steps. The workflow performs a Google search to locate the profile URL, then scrapes and parses the profile page to extract relevant details. These details are then evaluated with AI models for interest and sentiment analysis, alongside social media post scraping and content analysis. The data collected—including profile info, posts, and AI-generated summaries—is finally compiled and stored in a Google Sheets document for easy review and further action. Practical uses include social media reputation management, competitor analysis, or influencer research.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserStructured, code, form, formTrigger, googleSheets, html, if, n8n-nodes-brightdata.brightData, set, wait

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