A Python tool that automates job market research and alumni career discovery through web scraping, API reverse-engineering, and LinkedIn data mapping.
Job market data collection Reverse-engineers Handshake's internal API and front-end architecture to run a high-throughput scraper, populating a NoSQL database with 10,000+ data points for job market trend analysis.
Alumni career discovery Uses Google-indexed scraping to automate the discovery of alumni career paths, extracting and mapping LinkedIn profile data with an 89%+ user-to-alumni match rate.
- Reverse-engineered Handshake's internal API by analyzing front-end network traffic
- Stored 10,000+ scraped records in a NoSQL database for trend analysis
- Achieved 89%+ match accuracy cross-referencing alumni records against LinkedIn profiles
- Configured CI/CD pipelines and automated unit test suites, reducing deployment latency by 10%
| Layer | Tools |
|---|---|
| Language | Python |
| Job scraping | JobSpy |
| LinkedIn data | linkedin-api |
| Team size | 3 engineers |
| Metric | Result |
|---|---|
| Data points collected | 10,000+ |
| Alumni match rate | 89%+ |
| Deployment latency reduction | 10% |
This project is for educational and research purposes. Usage of reverse-engineered APIs or unofficial LinkedIn access may violate the respective platforms' Terms of Service. Use responsibly.