n8n Workflow: Compare LinkedIn Profiles Against Job Descriptions with Groq AI

This n8n workflow leverages the power of AI to compare a LinkedIn profile against a given job description, providing a detailed analysis of how well the candidate's profile aligns with the job requirements. It's designed to streamline the initial screening process for recruiters, hiring managers, or even job seekers looking to optimize their profiles.

What it does

This workflow automates the following steps:

1. Receives Input: It starts by listening for a webhook trigger, expecting a JSON payload containing a LinkedIn profile URL and a job description.
2. Prepares Data: It extracts and structures the received data, ensuring it's in a suitable format for the AI agent.
3. Analyzes with AI: It utilizes a Groq AI Chat Model within an AI Agent to perform a comprehensive comparison between the LinkedIn profile and the job description. The AI is prompted to identify matches, gaps, and provide a summary.
4. Generates Response: The AI agent's output, which includes the comparison results, is then prepared as a JSON response.
5. Responds to Webhook: Finally, it sends the AI-generated comparison back as a response to the initial webhook call.

Prerequisites/Requirements

To use this workflow, you will need:

• n8n Instance: A running instance of n8n (cloud or self-hosted).
• Groq API Key: An API key for the Groq AI service, configured as a credential in your n8n instance.
• LinkedIn Profile URL: The URL of the LinkedIn profile you wish to analyze.
• Job Description: The text content of the job description to compare against.

Setup/Usage

1. Import the Workflow:

   • Download the provided JSON file for this workflow.
   • In your n8n instance, go to "Workflows" and click "New".
   • Click the "Import from JSON" button and paste the workflow JSON or upload the file.

2. Configure Credentials:

   • Locate the "Groq Chat Model" node.
   • Ensure your Groq API Key is configured as a credential. If not, create a new credential of type "Groq API" and enter your API key.

3. Activate the Webhook:

   • The "Webhook" node is the trigger for this workflow.
   • After importing, save and activate the workflow.
   • Copy the "Webhook URL" from the "Webhook" node. This URL will be used to send requests to the workflow.

4. Send Requests:

   • Send a POST request to the copied Webhook URL with a JSON body containing linkedinProfileUrl and jobDescription.

   Example Request Body:

   {
     "linkedinProfileUrl": "https://www.linkedin.com/in/johndoe/",
     "jobDescription": "We are looking for a Senior Software Engineer with expertise in Python, AWS, and experience leading small teams. Strong communication skills are a must."
   }
   

   The workflow will respond with the AI-generated comparison.