Automated LinkedIn Data Mining and Content Generation Workflow

This n8n workflow is designed to automate the process of scraping and analyzing LinkedIn profiles and company pages using Bright Data MCP tools, integrating AI language models for content generation, and storing the extracted data for further use. It begins with manual trigger to initiate the process, then sets specific LinkedIn URLs for individual and company profiles. The workflow utilizes Bright Data MCP clients to scrape detailed profile information—both personal and corporate—by making HTTP requests to specified webhooks and Bright Data tools. Extracted content is processed through n8n’s code and function nodes to convert raw responses into JSON, which is then transformed into binary data for storage on disk. Additionally, the workflow incorporates Google’s Gemini language model to generate comprehensive narratives or blog posts from the scraped data, enriching profiles with automated storytelling. This setup is useful for research, marketing insights, lead generation, and content development based on LinkedIn profiles and company pages, streamlining the data collection and content creation process in a scalable manner.