Crawler
Connected Python pipelines crawl open-web registries and third-party databases, surfacing verified candidates through Metabase and a dedicated recruiter web app.
ITSUA designs, builds, and operates custom web applications for product teams in 20+ verticals. Consider starting own project similar to this one.
→ REQUEST PROPOSAL
Sourcing licensed specialists across a distributed network is slow and patchy.
Hiring managers had to comb through public registries by hand, and once a name surfaced there was no clean way to verify work history or find a warm-intro path.
Connected Python pipelines. Two ways in.
| L1 · Crawl | A graph of connected Python scripts against public licensing registries | Python + MySQL | Authoritative baseline |
| L2 · Enrich | Joins against professional networks and third-party contact databases | Python + MySQL | Work history + warm-intro paths |
| L3 · Surface | Metabase for analysts, a dedicated web app (recruiter dashboard, user management, activity log) for operators | Metabase · Vue · Nest | One source of truth |
A live, fully-automated sourcing pipeline.
Weeks of manual trawling replaced with fresh monthly leads — each candidate arrives with verified credentials, a reconstructed work history, and a warm-intro path. Analysts slice data in Metabase; recruiters work cases from a dedicated dashboard with full user management and activity logging.