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Add job postings to TabsOnJobs and autofill applications from your saved profile — you always review and submit. TabsOnJobs Bulk Add lets you import job postings from a page you're already viewing straight into your TabsOnJobs account, no copy-pasting role titles, companies, and apply links one at a time. HOW IT WORKS 1. Open a careers page or job board you're browsing. 2. Click the TabsOnJobs Bulk Add icon. 3. The extension reads the job postings shown on that page and lists them with checkboxes. 4. Pick the ones you want and add them to your TabsOnJobs account, ready to score, tailor a resume for, and track. It works on most careers pages and job boards, including sites built on common applicant tracking systems and any page with standard job-posting markup. WHAT IT DOES NOT DO - It never reads a page on its own. It only reads a page when you open it and click. - It only sends the specific postings you select — nothing else on the page. - It does not collect browsing history, passwords, form data, or any page content unrelated to job postings. - It does not run in the background and has no trackers or ads. REQUIREMENTS You need a TabsOnJobs account and an active signed-in session at tabsonjobs.com, the import uses your existing logged-in session, so you stay in control of where the data goes. The server address is configurable in the extension's Settings if you self-host. TabsOnJobs is a personal job-search assistant that helps you discover roles, score how well they fit your resume, tailor resumes, prepare for interviews, and track applications.
Jul 13, 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.