Project information

  • Category : Web Software
  • Project Name :🚀 Transforming Talent Acquisition: Automated LinkedIn Scraper & Resume Builder
  • Source Code : Public
  • Project URL: Github

Technology Used  

  • Bootstrap 5
  • Python
  • Django
  • Apify
  • SQLite

About this project

Finding the right talent shouldn't feel like searching for a needle in a haystack. I just built an end-to-end automated pipeline designed to streamline candidate sourcing for HR teams and talent acquisition agencies.
🛠️ How the Pipeline Works:

      Targeted Scraping: Extracts rich candidate data based on exact filters—including Location, Education, Key Skills, and customizable Data Limits.
      Centralized Database: Instantly cleans and saves profiles into a local database for quick querying and zero data loss.
      Dynamic Resume Generation: With a single click, it parses the database records to automatically generate a clean, standardized candidate resume/profile summary.
      Instant Cross-Verification: Every profile in the system includes a direct link back to the live LinkedIn profile, allowing HR teams to instantly verify data accuracy in real-time.