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Scan your LinkedIn feed and analyse posts with your own Groq or Claude API key. LinkedIn Post Analyser helps you scan your LinkedIn feed and collect post content + engagement signals in one place. Run optional AI analysis (Groq or Claude) using your own API key to identify patterns, top posts, and content ideas. **What it does:** • Scan your LinkedIn feed to extract posts with engagement metrics • Analyse content patterns and identify high-performing posts • Get AI-powered insights using your own Groq or Anthropic Claude API key • Optional profile enrichment using RapidAPI • Export reports with optional viewport screenshots • All data stored locally in your browser **How it works:** 1. Navigate to linkedin.com/feed (must be logged in) 2. Open the extension side panel 3. Click "Scan Feed" to extract posts from your feed 4. View collected posts with engagement data 5. Optionally run AI analysis to identify trends and top content 6. Export results as HTML reports **Privacy-first approach:** Scanning happens only when you click Scan. Data is stored locally in your browser. If you enable AI analysis, extracted text is sent to your selected provider (Groq or Anthropic). Optional profile enrichment uses RapidAPI only when you provide a key. Your API keys are stored locally and never sent to the extension developer. **Not affiliated with, endorsed by, or sponsored by LinkedIn.**
Dec 17, 2025
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.