Leadership
Hourly Meeting Prep | Email Correspondence & LinkedIn Scraping
This workflow prepares users for meetings by gathering attendee information from Google Calendar, scraping LinkedIn for recent activity, and summarizing past email correspondence using AI. It then sends a concise pre-meeting notification via WhatsApp.
Built · ~6 hours saved per week
Busy professionals who want to prepare for meetings quickly.
This workflow sends you a WhatsApp message to prepare you for upcoming meetings. It checks your calendar, gathers attendee information, summarizes past emails, and scrapes LinkedIn for recent activity. Then, it uses AI to create a short, helpful notification.
You need to connect your Google Calendar, Gmail, WhatsApp Business Cloud, OpenAI, and Apify accounts. You also need to add your LinkedIn cookie to the workflow for scraping.
Google Calendar, Gmail, WhatsApp Business Cloud, OpenAI API key, Apify API key, LinkedIn account cookie.
You can change how often the workflow runs, what information it extracts from LinkedIn, and how the AI summarizes the information. You can also change the messaging app from WhatsApp to something else like Twilio or Telegram.
Key Technologies: n8n,Google Calendar,Gmail,WhatsApp Business Cloud,OpenAI,Apify,AI/LLM (Large Language Model)
Automation Value: Saves time by automating meeting preparation. Helps users make a better impression by providing relevant information. Reduces manual effort in gathering attendee context. Streamlines communication for meeting reminders.
Best Practices: Use sub-workflows for complex or repetitive tasks like fetching attendee data to improve readability and maintainability. Implement error handling (e.g., using "If" nodes and "Return Error" nodes) to manage scenarios where data is missing (e.g., no email or LinkedIn profile). Utilize AI for summarization and extraction tasks to reduce manual parsing and generate intelligent insights. Ensure proper credential management for all integrated services. Use "Sticky Notes" to document the workflow steps and logic for better understanding and collaboration. Combine and aggregate data effectively using "Merge", "Split Out", and "Aggregate" nodes to prepare data for AI processing or final output. Test the workflow thoroughly with various scenarios (e.g., attendees with/without LinkedIn, with/without email correspondence) to ensure robustness.
Tags: CRM Automations, Leadership Automations, People/HR Automations, Whatsapp, System (Parent/Child), Data Transformation
Integrations: Email, Google Calendar, OpenAI, Schedule, Sub-workflow, HTTP, Google Gemini