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Auto-apply to jobs you approve, inside your own logged-in browser session. Supports JobStreet, Indeed, and LinkedIn. iNeedAutoJob applies to jobs you approve, inside your own logged-in browser. You review and approve jobs in the iNeedAutoJob dashboard, and this extension submits the applications for you — using your own login, your own session, your own connection. Nothing is ever submitted without your approval. Currently supports JobStreet, with more job sites on the way. HOW IT WORKS 1. Sign in at app.ineedautojob.com and add your résumé and job sources. 2. Review the jobs we find and approve the ones you want. 3. This extension opens each approved job and completes the application in your browser — filling screening questions and a cover letter tailored to that role. 4. Watch live progress in the popup, and pause anytime. WHY YOU'LL LIKE IT • Applies only to jobs you've approved — you stay in control • Works in your own logged-in session — no password sharing, ever • Fills screening questions and role-specific cover letters for you • Live status + one-click pause in the popup • Skips listings it can't complete, so nothing hangs PRIVACY & SECURITY The extension never sees or stores your job-board password. It runs inside your already-signed-in session and only acts on jobs you approved, reporting each result to your own iNeedAutoJob account. Privacy policy: https://ineedautojob.com/privacy REQUIREMENTS A free iNeedAutoJob account (app.ineedautojob.com) and being signed in to the supported job site in the same browser.
Jul 28, 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.