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Capture and save job application details to Succefy seamlessly Succefy Job Application Tracker helps you capture, organize, and analyze job postings directly from your browser — without switching tabs or copy-pasting. KEY FEATURES • One-click job capture from LinkedIn, Indeed, Glassdoor, Monster, ZipRecruiter, and more • AI-powered job match analysis — compare any job posting against your resume instantly • Edit captured details (title, company, location, salary, contract type, work type) • Priority star rating to rank your opportunities • AI cover letter generation tailored to each job • Multi-language support: English, Türkçe, Nederlands • Full sync with your Succefy account and dashboard HOW IT WORKS 1. Install the extension and log in with your Succefy account 2. Browse any job posting on LinkedIn, Indeed, Glassdoor, or other job boards 3. Click "Capture Job Details" — the extension extracts all key information automatically 4. Rate the job, edit the details, and run an AI match analysis against your resume 5. Save it to your Succefy tracker and manage all your applications in one place AI JOB MATCH ANALYSIS Upload your resume or use a saved Succefy CV to get a match score, missing keywords, and personalized recommendations for each job you're considering. STAY ORGANIZED Never lose track of a promising opportunity. Every captured job is saved to your Succefy dashboard where you can track application status, set priorities, and review your pipeline. Sign up free at succefy.com
Jul 14, 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.