Compare LinkedIn profiles against job descriptions with Groq AI & GhostGenius

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Recruiter Mirror is a proof‑of‑concept ATS analysis tool for SDRs/BDRs. Compare your LinkedIn or CV to job descriptions and get recruiter‑ready insights. By comparing candidate profiles against job...

Best for

HR automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatgroq, n8n-nodes-base.httprequest, n8n-nodes-base.webhook, n8n-nodes-base.set, n8n-nodes-base.aggregate, n8n-nodes-base.merge, n8n-nodes-base.respondtowebhook, @n8n/n8n-nodes-langchain.agent

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Compare LinkedIn profiles against job descriptions with Groq AI & GhostGenius
Workflow name: Compare LinkedIn profiles against job descriptions with Groq AI & GhostGenius

Recruiter Mirror is a proof‑of‑concept ATS analysis tool for SDRs/BDRs. Compare your LinkedIn or CV to job descriptions and get recruiter‑ready insights.

By comparing candidate profiles against job descriptions, it highlights strengths, flags missing keywords, and generates actionable optimization tips. Designed as a practical proof of concept for breaking into tech sales, it shows how automation and AI prompts can turn LinkedIn into a recruiter‑ready magnet.

Got it ✅ — based on your workflow (Webhook → LinkedIn CV/JD fetch → GhostGenius API → n8n parsing/transform → Groq LLM → Output to Webhook), here’s a clear list of tools & APIs required to set up your Recruiter Mirror (Proof of Concept) project:

🔧 Tools & APIs Required

1. n8n (Automation Platform)

Either n8n Cloud or self‑hosted n8n instance.
Used to orchestrate the workflow, manage nodes, and handle credentials securely.

2. Webhook Node (Form Intake)

Captures LinkedIn profile (LinkedIn_CV) and job posting (LinkedIn_JD) links submitted by the user.
Acts as the starting point for the workflow.

3. GhostGenius API

Endpoints Used:
- /v2/profile → Scrapes and returns structured CV/LinkedIn data.
- /v2/job → Scrapes and returns structured job description data.
Auth: Requires valid credentials (e.g., API key / header auth).

4. Groq LLM API (via n8n node)

Model Used: moonshotai/kimi-k2-instruct (via Groq Chat Model node).
Purpose: Runs the ATS Recruiter Check, comparing CV JSON vs JD JSON, then outputs a structured JSON per the ATS schema.
Auth: Groq account + saved API credentials in n8n.

5. Code Node (JavaScript Transformation)

Parses Groq’s JSON output safely (JSON.parse).
Generates clean, recruiter‑ready HTML summaries with structured sections:
- Status
- Reasoning
- Recommendation
- Matched keywords / Missing keywords
- Optimization tips

6. n8n Native Nodes

Set & Aggregate Nodes → Rebuild structured CV & JD objects.
Merge Node → Combine CV data with job description for comparison.
If Node → Validates LinkedIn URL before processing (fallback to error messaging).
Respond to Webhook Node → Sends back the final recruiter‑ready insights in JSON (or HTML).

⚠️ Important Notes

Credentials: Store API keys & auth headers securely inside n8n Credentials Manager (never hardcode inside nodes).
Proof of Concept: This workflow demonstrates feasibility but is not production‑ready (scraping stability, LinkedIn terms of use, and API limits should be considered before real deployments).

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 - Groq Chat Model4

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

Block 2 - Get profile details

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

Block 3 - Get job details

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

Block 4 - Webhook (GET Form details)

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 5 - Build CV

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

Block 6 - Combine_CV

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

Block 7 - Build JD

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

Block 8 - Combine_JD

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

Block 9 - ATS compare

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

Block 10 - Merge2

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3

Block 11 - Respond to Webhook

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.1

Block 12 - Recruiter Check

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 13 - If

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

Block 14 - Error_node

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.1

Block 15 - ThankYOU message

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 16 - Workflow Description (Sticky Note)1

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

Block 17 - Analysis Result (Sticky Note)

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

3. Summary Table

Workflow	Compare LinkedIn profiles against job descriptions with Groq AI & GhostGenius
Complexity	advanced
Nodes	17
Categories	HR, AI Summarization
Author	Stephan Koning
Published	03 Sept 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/8235/8235.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 HR workflows AI Summarization workflows

Frequently asked questions

What does Compare LinkedIn profiles against job descriptions with Groq AI & GhostGenius 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 HR, AI Summarization use case.

Stephan Koning

15 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatgroq n8n-nodes-base.httprequest n8n-nodes-base.webhook n8n-nodes-base.set n8n-nodes-base.aggregate n8n-nodes-base.merge n8n-nodes-base.respondtowebhook @n8n/n8n-nodes-langchain.agent

Complexity

advanced

Published 03 Sept 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/8235/8235.json

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Compare LinkedIn profiles against job descriptions with Groq AI & GhostGenius

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

🔧 Tools & APIs Required

1. n8n (Automation Platform)

2. Webhook Node (Form Intake)

3. GhostGenius API

4. Groq LLM API (via n8n node)

5. Code Node (JavaScript Transformation)

6. n8n Native Nodes

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Groq Chat Model4

Block 2 - Get profile details​

Block 3 - Get job details​

Block 4 - Webhook (GET Form details)

Block 5 - Build CV

Block 6 - Combine_CV

Block 7 - Build JD

Block 8 - Combine_JD

Block 9 - ATS compare

Block 10 - Merge2

Block 11 - Respond to Webhook

Block 12 - Recruiter Check

Block 13 - If

Block 14 - Error_node

Block 15 - ThankYOU message

Block 16 - Workflow Description (Sticky Note)1

Block 17 - Analysis Result (Sticky Note)

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

Block 2 - Get profile details

Block 3 - Get job details