Evaluate LinkedIn profiles with Apify and Groq Llama chat model
Ready for 3.0What this workflow does
This AI workflow has 6 nodes and runs when someone submits an n8n form (“LinkedIn Profile Evaluator”). Along the way it connects Groq Chat Model.
How it runs
Trigger: When someone submits an n8n form (“LinkedIn Profile Evaluator”).
- Set API Keys and Profile URL (Edit Fields (Set)): sets 3 fields: apifyApiKey, groqApiKey, profileUrl
- Submit Profile to Apify (HTTP Request): calls an HTTP API (POST)
- AI Profile Analysis (Basic LLM Chain): sends a prompt to an LLM, with model: Initialize Groq Chat Model
- Show Profile Evaluation Results (n8n Form): shows the next form page
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (6)
- n8n Form Trigger
n8n-nodes-base.formTrigger - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Groq Chat Model
@n8n/n8n-nodes-langchain.lmChatGroq - n8n Form
n8n-nodes-base.form
From the author
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…