💬 Pre-meeting lead research agent with Calendly, Perplexity & RapidAPI

⚡ 484 views · 💬 Lead Nurturing & AI Sales Agents

💡 Pro Tip — If you’re pulling LinkedIn data through HTTP requests or dealing with API restrictions, there’s a community node called ScraperNode that handles this natively. It has dedicated scrapers for profiles, companies, jobs, and people search — you just pass a URL and get structured data back.

View All Scrapers

Description

Who’s it for

Sales teams, BDRs, account managers, and customer success professionals who want to show up prepared for every meeting. Perfect for anyone using Calendly who wants to automate prospect research and never walk into a call blind again.

Watch the full tutorial here:

AI Meeting Research Workflow Tutorial

What it does

This workflow automatically researches your meeting attendees the moment they book through Calendly. It combines multiple AI agents to gather comprehensive intelligence:

The final research brief gets delivered directly to your Slack, saving 30-45 minutes of manual research per meeting.

How it works

  1. Someone books a meeting via your Calendly (must include LinkedIn URL in booking form)
  2. Main AI Agent extracts company domain from email and coordinates three specialist research agents
  3. Company Agent researches business intel via Perplexity
  4. Person Agent analyzes LinkedIn activity using 4 different RapidAPI endpoints
  5. Signal Agent identifies business opportunities and risks
  6. Comprehensive meeting brief gets sent to your Slack channel

Requirements

API Credentials needed:

Important: Your Calendly booking form must include a LinkedIn URL field to get optimal results.

How to set up

  1. Configure Calendly: Add the Calendly trigger node with your API credentials
  2. Update Slack destination: Modify the final Slack node with your user ID or channel
  3. Add API keys: Configure all the API credentials in their respective nodes
  4. Test the workflow: Book a test meeting through Calendly to verify the complete flow
  5. Customize prompts: Adjust the AI agent prompts based on your specific industry or use case

The workflow uses structured JSON output with confidence scoring and source citation for reliable, actionable intelligence.

How to customize the workflow

The modular design makes it easy to adapt for different sales processes and research requirements.

🔗 Nodes Used

Slack, Calendly Trigger, AI Agent, OpenAI Chat Model, Structured Output Parser, AI Agent Tool

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup