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

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Pre-meeting lead research agent with Calendly, Perplexity & RapidAPI preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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...

Best for

  • Lead Nurturing automation workflows
  • AI Chatbot automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.calendlytrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.agenttool, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.perplexitytool, n8n-nodes-base.httprequesttool, n8n-nodes-base.slack

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Fabian Herhold.

Original n8n.io source

1.1 Workflow description

Title
Pre-meeting lead research agent with Calendly, Perplexity & RapidAPI
Workflow name
Pre-meeting lead research agent with Calendly, Perplexity & RapidAPI

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:

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:

  • Company Research: Uses Perplexity AI to validate company details, recent news, funding, leadership changes, and business signals
  • LinkedIn Analysis: Leverages RapidAPI to analyze the person's profile, recent posts, comments, and engagement patterns from the last 60-90 days
  • Signal Detection: Identifies hiring signals, growth indicators, and potential risks with confidence scoring
  • Meeting Prep: Synthesizes everything into personalized talking points, conversation starters, and strategic recommendations

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:

  • Calendly API (for webhook trigger)
  • OpenAI API key (GPT-4 recommended for orchestration)
  • Perplexity API key (for web research)
  • RapidAPI subscription (for LinkedIn data endpoints)
  • Slack bot token (for output delivery)

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

  • Change output destination: Replace Slack with email, Teams, or CRM integration
  • Modify research depth: Adjust the AI prompts to focus on specific industries or company types
  • Add more signals: Extend the Signal Research Agent to detect additional business indicators
  • Integrate with CRM: Add nodes to automatically update contact records in your sales system
  • Schedule follow-ups: Connect to calendar tools to automatically schedule research updates

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

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Calendly Trigger

Type / Role
n8n-nodes-base.calendlyTrigger - calendlyTrigger
Config choices
Version 1

Block 2 - AI Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 2.2

Block 3 - Company Research Agent

Type / Role
@n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices
Version 2.2

Block 4 - Person Research Agent

Type / Role
@n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices
Version 2.2

Block 5 - Signal Research Agent

Type / Role
@n8n/n8n-nodes-langchain.agentTool - agentTool
Config choices
Version 2.2

Block 6 - OpenAI Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 7 - OpenAI Chat Model1

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 8 - OpenAI Chat Model2

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 9 - OpenAI Chat Model3

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 10 - Structured Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 11 - OpenAI Chat Model4

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 12 - Perplexity Research

Type / Role
n8n-nodes-base.perplexityTool - perplexityTool
Config choices
Version 1

Block 13 - Research a person

Type / Role
n8n-nodes-base.perplexityTool - perplexityTool
Config choices
Version 1

Block 14 - Enrich LinkedIn Profile

Type / Role
n8n-nodes-base.httpRequestTool - httpRequestTool
Config choices
Version 4.2

Block 15 - Get LinkedIn Posts

Type / Role
n8n-nodes-base.httpRequestTool - httpRequestTool
Config choices
Version 4.2

Block 16 - Get LinkedIn comments

Type / Role
n8n-nodes-base.httpRequestTool - httpRequestTool
Config choices
Version 4.2

Block 17 - Get LinkedIn Reactions

Type / Role
n8n-nodes-base.httpRequestTool - httpRequestTool
Config choices
Version 4.2

Block 18 - Message a model in Perplexity

Type / Role
n8n-nodes-base.perplexityTool - perplexityTool
Config choices
Version 1

Block 19 - Send a message

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.3

Block 20 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 21 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 22 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Pre-meeting lead research agent with Calendly, Perplexity & RapidAPI
Complexity advanced
Nodes 22
Categories Lead Nurturing, AI Chatbot
Author Fabian Herhold
Published 26 Sept 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/8957/8957.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Pre-meeting lead research agent with Calendly, Perplexity & RapidAPI do?

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...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Nurturing, AI Chatbot use case.