Stack Radar

Discover the most in-demand tech stacks by scraping live job listings from LinkedIn and Indeed. A personal portfolio project powered by Apify, Azure ADLS Gen2, and Databricks.

Personal project not intended for heavy use. Limited to 1 request per 5 minutes.

Pipeline status

Data Engineer in Belgium

  1. Scraping LinkedIn & Indeed

    Apify fetches job listings via headless browser

  2. Writing to Azure Data Lake Gen2

    Raw JSON stored in ADLS Gen2

  3. Databricks PySpark pipeline

    Stack extraction, deduplication & ranking

  4. Stack rankings ready

    Most-demanded stacks ranked by mention frequency