Generate Community Template Metadata
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This workflow generates metadata for community-contributed templates by extracting information from LinkedIn profiles and calculating an ICP score.
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About This Workflow
Overview
This workflow is designed to automate the process of generating metadata for 'Community Contributed' templates. It leverages AI to extract key information from LinkedIn profiles, calculates an Ideal Customer Profile (ICP) score based on predefined criteria, and updates a Google Sheet with the results.
Key Features
- Extracts full name, job title, employer, connections, followers, and about section from LinkedIn profiles.
- Determines AI interest level, seniority, and technical depth from extracted data.
- Calculates an ICP score based on a weighted sum of AI interest, technical depth, and seniority.
- Updates a Google Sheet with the extracted LinkedIn URL and calculated ICP score, identified by a row number.
How To Use
- Import the workflow: Load this JSON into your n8n instance.
- Configure Google Sheets Credentials: Ensure your n8n has access to the specified Google Sheet ('ICP Score for Template').
- Set Environment Variables: Configure
BASE_URLandWEBHOOK_URLin your n8n environment. - Trigger the workflow: Click 'Test workflow' to initiate the data extraction and scoring process.
Apps Used
Workflow JSON
{
"id": "9340e7bb-5576-47a6-b2c8-44375b2bf46a",
"name": "Generate Community Template Metadata",
"nodes": 0,
"category": "Template Management",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 9340e7bb-5576...
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