1 item
Automatically monitor LinkedIn engagement and discover warm prospects LinkedIn Engagement Intelligence helps you identify and connect with warm prospects based on their LinkedIn activity. KEY FEATURES: - Extract commenters from any LinkedIn post with full profile details - Capture reactors (likes, celebrates, supports, etc.) with complete information - Export engagement data to CSV for easy import into your CRM or outreach tools - Track engagement metrics and identify high-priority leads - Automatic deduplication to keep your data clean PERFECT FOR: → Sales professionals seeking warm leads → Business development teams building prospect lists → Marketers identifying engaged audiences → Anyone looking to turn LinkedIn engagement into business opportunities HOW IT WORKS: 1. Navigate to any LinkedIn post 2. Click the extension icon 3. Extract commenters or reactors with one click 4. Download organized CSV file with all prospect data 5. Your data is organized and ready for outreach WHAT YOU GET IN THE CSV: - Full names and professional headlines - Direct profile URLs for easy connection - Engagement type and timing - Post context for personalized outreach - Clean, organized data ready for CRM import PRIVACY & SECURITY: - Only extracts publicly visible LinkedIn information - No data is stored on external servers - All processing happens locally in your browser - Respects LinkedIn's terms of service Perfect for sales professionals, recruiters, and business development teams who want to systematically identify and engage with prospects showing genuine interest in relevant topics.
Jan 15, 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.