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Source a LinkedIn candidate into Orythara — auto-detect the profile, review, pick a job and services pillar, then add to your CRM. Ory Sourcing — LinkedIn Candidate Import for Orythara Ory Sourcing streamlines candidate sourcing by connecting LinkedIn directly to your Orythara recruitment pipeline. Instead of manually copying names, contact details, work history, and profile links from LinkedIn into your ATS, Ory Sourcing captures the candidate's profile data with a single click and imports it straight into Orythara — ready for review, tagging, and pipeline placement. Key features: One-click capture of candidate profiles while browsing LinkedIn Automatic extraction of key fields: name, current role, company, location, and profile URL Direct sync into Orythara's candidate database — no CSV exports, no manual re-entry Duplicate detection to avoid importing candidates already in your pipeline Works seamlessly within your existing LinkedIn browsing workflow, with no need to switch tabs or tools Why use Ory Sourcing: Recruiters spend significant time on manual data entry when building candidate pipelines from LinkedIn. Ory Sourcing eliminates that friction, letting your team source faster and keep candidate records accurate and consistent across your Orythara workspace. Whether you're building a longlist for a single role or sourcing at scale across multiple open positions, Ory Sourcing keeps your pipeline up to date in real time. Requirements: An active Orythara account is required to use this extension. Candidate data is synced only to your organization's Orythara workspace and is not shared with third parties.
Sep 12, 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.