Files
augmentx-job-market/README.md
T

1.3 KiB
Raw Blame History

AugmentX – Job Market Data Platform

A data platform designed to collect verified job postings directly from official company career pages, transform them into clean and structured data, and provide transparent insights into job-market demand and skills trends.

Project Principles & Architecture

  • Primary Data Source: Official company career pages and Applicant Tracking Systems (ATS).
  • Secondary Sources: Job discovery platforms are used only to identify and locate official company career pages—not as sources for scraping job postings.
  • Core Technology Stack: Python, HTTP clients, HTML/JSON parsing, SQLite/PostgreSQL, and Pandas.

Roadmap

  • Week 1 – Job Source Identification & Prioritization: Identify, evaluate, and prioritize official company career pages.
  • Week 2 – Job Data Collection & Automated Crawlers: Build automated crawlers to collect job postings from prioritized sources.
  • Week 3 – Data Cleaning & Deduplication: Clean, standardize, and remove duplicate job records.
  • Week 4 – Search Experience & Exploratory Analytics: Develop a simple job search experience and explore the collected market data.
  • Week 5 – Market Trends & Skills Analytics: Extract skills from job postings and analyze demand trends across roles and skills.