Meeting Attendee Research Subflow

Salespeople or anyone preparing for a meeting. This workflow researches meeting attendees. It summarizes their past emails and LinkedIn activity. This helps you get ready for your meeting with important attendee info. Set up a Gmail account and add your LinkedIn cookies. Then, configure the Apify Web Scraper node for LinkedIn access. Gmail account, LinkedIn account, Apify.com account (free tier available), n8n. You can change the summary agents to focus on different information. You can also extract more LinkedIn sections. Key Technologies: Gmail,LinkedIn,Apify.com (web scraping),OpenAI (GPT-4o),n8n Automation Value: Gathering attendee information before meetings saves time. Providing summarized context improves meeting preparation. AI summarizes complex information for quick understanding. Automated data collection reduces manual research efforts. Best Practices: Use sticky notes to explain complex parts of the workflow. They make the workflow easier to understand. Implement error handling with 'If' nodes and 'Set' nodes to return clear messages when data is missing or operations fail. This makes the workflow more reliable. Use dedicated AI model nodes (like OpenAI Chat Model) to provide the language model to other AI nodes (like LLM Chain) to keep the workflow modular and easy to manage. When scraping websites, always check the legal terms of service to ensure you are allowed to scrape the data. Be mindful of rate limits when interacting with external APIs (like Apify or Gmail) to avoid getting blocked. Use 'Set' nodes to clean and simplify data after extraction, especially before sending it to an AI model. This improves the AI's understanding and response quality.