Anti-Detection Scraping at Scale
A resumable pipeline engineered to harvest 50,000 profiles from a DataDome-protected platform.
- Role
- Engineer
- Client
- Data client (anonymized)
- Year
- 2026
- Lane
- AI Automation
The problem
A client needed 50,000 structured profiles from a platform hardened with DataDome — one of the toughest anti-bot systems in production. Naïve scraping gets blocked in minutes.
What I built
A stealth extraction pipeline: full search → trip → profile → reviews flow, residential-proxy rotation, a resumable queue so a run can stop and continue without loss, schema-validated output to XLSX/CSV/JSON, and quality-audit + backfill passes. Adversarial hardening was iterative — captured failure cases fed straight back into the evasion logic.
Outcome
A reliable, restartable harvester built to clear a 50,000-profile target against active anti-bot defenses — with validated, analysis-ready data at the end.