Eliminates manual data entry when sourcing candidates by automatically scraping profile information from LinkedIn, GitHub, Xing, Gmail, and other pages, then importing it directly into Lever Hire with duplicate detection

User browses a candidate profile on LinkedIn, GitHub, Xing, or Gmail → extension content script scrapes profile data (name, job titles, descriptions, resume, tenure) → background script queries Lever Hire API to check for duplicates → extension badge/toft shows action (Create/Link/Match/Refer) → user clicks action to import candidate into Lever Hire via embedded iframe panel hosted on hire.lever.co

Target users: Recruiters and talent acquisition professionals using Lever Hire ATS / Hiring managers sourcing candidates on LinkedIn, GitHub, and Xing

Lever Hire is itself a paid SaaS product, but the extension contains no payment or feature-gating logic of its own
Cannot verify exact iframe UI content since it loads from Lever's servers dynamically

Monetization

No paid features detected

No payment, billing, subscription, premium, upgrade, or license-gating logic exists in the extension code. All 'pro' keyword matches are false positives matching generic terms like 'process', 'profile', 'profileReady'. The extension itself does not gate any features behind a paywall. Lever Hire is a paid SaaS ATS product, but that is an external business service unrelated to the extension's own feature gating.

Confidence: 90
Payment platform: --
Source: AI / High
Login required: Needs review
Reason: The extension requires an active Lever Hire account. The Chrome Web Store description explicitly states: '⚠ You need a Lever account to use the Lever Import Extension.' The extension communicates with Lever Hire's API (e.g., '/extension/api/match?') and loads a Lever-hosted iframe panel. Background.js checks for 'Unauthorized: user does not have access' (line 415) and references the auth login path (line 184). The extension is a launcher/helper that depends on the user being authenticated in the Lever Hire web application.

Permission risk

High-risk permissions

This estimate uses declared permissions and host permissions to assess access scope and sensitivity.

扩展能力较强：storage、tabs、scripting
主机权限覆盖范围较宽
同时具备浏览数据与站点访问能力

Publisher

Lever

Lever Inc.

Email: [email protected]
Phone: +16509065793
Address: 1730 Blake St Ste. 445 Denver, CO 80202 US

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Permissions

Host access