Evaluate LinkedIn profiles with Apify and Groq Llama chat model

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1. Workflow Overview

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...

Best for

Market Research automation workflows
AI Summarization automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.formtrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.lmchatgroq, n8n-nodes-base.form

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Dhia Kassab.

Original n8n.io source

1.1 Workflow description

Title: Evaluate LinkedIn profiles with Apify and Groq Llama chat model
Workflow name: Evaluate LinkedIn profiles with Apify and Groq Llama chat model

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.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 6 - When Profile Form Submitted

Type / Role: n8n-nodes-base.formTrigger - formTrigger
Config choices: Version 2.2

Block 7 - Set API Keys and Profile URL

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 8 - Submit Profile to Apify

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 9 - AI Profile Analysis

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.5

Block 10 - Initialize Groq Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGroq - lmChatGroq
Config choices: Version 1

Block 11 - Show Profile Evaluation Results

Type / Role: n8n-nodes-base.form - form
Config choices: Version 1

Block 12 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Evaluate LinkedIn profiles with Apify and Groq Llama chat model
Complexity	intermediate
Nodes	12
Categories	Market Research, AI Summarization
Author	Dhia Kassab
Published	21 Jun 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/16530/16530.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Market Research workflows AI Summarization workflows

Frequently asked questions

What does Evaluate LinkedIn profiles with Apify and Groq Llama chat model do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.

Dhia Kassab

1 workflow

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.formtrigger n8n-nodes-base.set n8n-nodes-base.httprequest @n8n/n8n-nodes-langchain.chainllm @n8n/n8n-nodes-langchain.lmchatgroq n8n-nodes-base.form

Complexity

intermediate

Published 21 Jun 2026

Likes 0

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Install path: /data/workflows/16530/16530.json

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Evaluate LinkedIn profiles with Apify and Groq Llama chat model

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Quick overview

How it works

Setup

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note

Block 2 - Sticky Note1

Block 3 - Sticky Note2

Block 4 - Sticky Note3

Block 5 - Sticky Note4

Block 6 - When Profile Form Submitted

Block 7 - Set API Keys and Profile URL

Block 8 - Submit Profile to Apify

Block 9 - AI Profile Analysis

Block 10 - Initialize Groq Chat Model

Block 11 - Show Profile Evaluation Results

Block 12 - Sticky Note5

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions