5 items
Review and save job postings from supported sites to Lytdash. Save job postings to your Lytdash preparation workspace Save to Lytdash helps you capture a job posting from a supported site without retyping its details. Open a job posting, launch the extension, and review the information detected on the current page before importing it into Lytdash. Review before import The popup may extract the role, company, location, employment type, remote signals, posting date, description, source URL, and relevant skills or signals. You can review and edit the available fields before choosing Import to Lytdash. Truthful extraction Extraction depends on reliable evidence in the current page. If a field is missing, ambiguous, or unsupported, it may remain empty or require manual review. Save to Lytdash does not invent missing job details and does not guarantee complete extraction on every website. Preparation, not application submission Imported job data is added to your Lytdash preparation workflow so you can organize and evaluate the opportunity. The extension does not submit a job application, send information to an employer, or apply automatically. Privacy and security The extension reads the active job page when you use the popup. Your extension token and verified account details are stored locally in Chrome. When you import, the reviewed job data and token are sent over HTTPS to Lytdash and associated with your account. The token can be revoked or renewed from Lytdash Settings. See https://lytdash.com/privacy for details. A Lytdash account and an eligible plan are required to import jobs.
Sep 10, 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.