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Evaluate LinkedIn profiles with Apify and Groq Llama chat model

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Created by: Dhia Kassab || meddhiakassab
Dhia Kassab

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Last update 17 hours ago

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Quick overview

This workflow collects a LinkedIn profile URL via an n8n form, scrapes the public profile data using the Apify LinkedIn Profile Scraper actor, analyzes the results with a Groq-hosted Llama model, and displays an HTML-formatted evaluation back to the user.

How it works

  1. Receives a LinkedIn Profile URL when a user submits the n8n form.
  2. Prepares the LinkedIn URL along with the Apify API token and Groq API key used for downstream requests.
  3. Sends the profile URL to the Apify harvestapi/linkedin-profile-scraper actor and retrieves the scraped dataset items.
  4. Passes the scraped profile JSON to a Groq chat model via an LLM chain to generate an HTML evaluation with a score and recommendations.
  5. Displays the generated HTML evaluation to the user as the form completion message.

Setup

  1. Add a valid Apify API token and ensure the Apify actor endpoint (harvestapi/linkedin-profile-scraper) is accessible for your account.
  2. Add Groq API credentials in n8n and confirm the selected model (meta-llama/llama-4-scout-17b-16e-instruct) is available to your Groq account.
  3. Replace the placeholder API key values in the workflow (or move them to n8n credentials/environment variables) and verify the form field label matches LinkedIn Profile URL.