Open‑source tool auto-identity-remove lets macOS users scrub personal data from more than 500 people‑search sites each month. Written in Node.js 18+ and powered by Playwright, the script automates form submission, solves CAPTCHAs via CapSolver, and tracks opt‑out history to avoid duplicate work. Every run ends with an iMessage recap for your data purge today.

The runner searches each broker for the user’s name, city, state and ZIP, then locates a matching profile when necessary. If a form is protected by reCAPTCHA, CapSolver’s AI solves it at roughly $0.001 per solve, keeping the process fully automated. Sites that already cleared the user are skipped for up to 90 days together.

A GitHub repository hosts the code and a detailed setup script that configures launchd for a monthly job, stores credentials in a git‑ignored config.json, and writes per‑run logs. Users can manually trigger the script or let launchd run it at 9 a.m. on the first of each month and monitor its status through the iMessage summary.

Unlike paid services such as Incogni or Optery, auto‑identity‑remove offers full control, transparency, and no recurring fees. It fills gaps left by commercial tools—Acxiom, LexisNexis, ZoomInfo, Clearbit—while maintaining a lightweight, reproducible workflow. The project thrives on community contributions that refine broker selectors and expand the auto‑detected list for users worldwide with minimal setup effort.