Evaluate LinkedIn profiles with Apify and Groq Llama chat model

Description

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 Receives a LinkedIn Profile URL when a user submits the n8n form. Prepares the LinkedIn URL along with the Apify API token and Groq API key used for downstream requests. Sends the profile URL to the Apify harvestapi/linkedin-profile-scraper actor and retrieves the scraped dataset items. Passes the scraped profile JSON to a Groq chat model via an LLM chain to generate an HTML evaluation with a score and recommendations. Displays the generated HTML evaluation to the user as the form completion message. Setup Add a valid Apify API token and ensure the Apify actor endpoint (harvestapi/linkedin-profile-scraper) is accessible for your account. 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. 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. An n8n automation workflow template by Dhia Kassab.

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Categories

• Automation
• AI

Tags

• n8n
• workflow
• http-request
• basic-llm-chain
• groq-chat-model

Capabilities

• 3 nodes
• 2 views

Information