Visualize job-market skill gaps from Himalayas jobs with NVIDIA NIM

by Janos Gyorgy · 31 views · created 2026-06-18 · Market Research, AI Summarization

What this workflow does

This workflow has 13 nodes and runs when an HTTP GET request hits its webhook URL (plus 1 other trigger). It uses only n8n's built-in nodes.

How it runs

Trigger: When an HTTP GET request hits its webhook URL (plus 1 other trigger).

1. Set Job Search Criteria (Code): runs custom JavaScript code
2. Record Your Skills Data (Code): runs custom JavaScript code
3. Manage Cache Stability (Code): runs custom JavaScript code
4. Check Cache Freshness (If): checks a condition and branches into true / false
5. Provide HTML Response (Respond to Webhook): sends the response back to the webhook caller
6. Fetch Recent Job Listings (Code): runs custom JavaScript code
7. Rank Job Listings (Code): runs custom JavaScript code
8. Build Extraction Request (Code): runs custom JavaScript code
9. Post to LLM API (HTTP Request): calls an HTTP API (POST)
10. Analyze Extracted Skills (Code): runs custom JavaScript code

…plus 1 more step. See the full node list below.

Before you upgrade to n8n 3.0

Nodes used (6)

• Webhookn8n-nodes-base.webhook
• Manual Triggern8n-nodes-base.manualTrigger
• Coden8n-nodes-base.code
• Ifn8n-nodes-base.if
• HTTP Requestn8n-nodes-base.httpRequest
• Respond to Webhookn8n-nodes-base.respondToWebhook

From the author

Quick overview Turn a job search into a measured system. This workflow scrapes live job posts, uses an LLM to extract the skills each one is asking for, compares that demand against the skills you list, and serves the result as a live radar page. How it works…

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