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Automatically find and score jobs from LinkedIn, Naukri, IIMJobs and more — across all industries and roles. JobPilot automatically searches job portals like LinkedIn and Naukri for finance and accounting jobs that match your profile — using your own browser session, so there's no IP blocking, no captchas, and no separate login needed. HOW IT WORKS ──────────── 1. Sign in with your JobPilot account (same email and password as the web app) 2. Click "Run Job Search" in the extension popup 3. The extension opens job search pages in background tabs using your existing LinkedIn and Naukri login 4. Jobs are automatically collected, scored by AI, and saved to your JobPilot dashboard 5. Close the popup — results appear in your Jobs tab within 2 minutes KEY FEATURES ──────────── ✓ Works with LinkedIn and Naukri simultaneously ✓ Uses your own browser login — no separate credentials needed ✓ AI-powered job scoring — only relevant senior finance roles surface ✓ Filters out junior, intern, and irrelevant roles automatically ✓ Results sync to your JobPilot web dashboard instantly ✓ Works on Chrome and Microsoft Edge PRIVACY & SECURITY ────────────────── • The extension only reads job listing pages (titles, companies, URLs) • It never reads your messages, contacts, or personal data • It never stores your LinkedIn or Naukri password • All data stays within your own JobPilot account — nothing is shared REQUIREMENTS ──────────── • A free JobPilot account at jobpilot-web.vercel.app • Must be logged in to LinkedIn and/or Naukri in the same browser SUPPORT ──────── For help, visit jobpilot-web.vercel.app or contact support from within the web app.
Jul 11, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.