Atlassian Marketplace Reviews Exporter

Extract reviews from Atlassian Marketplace plugins and export to CSV, XLSX, or JSON.

Export Atlassian Marketplace reviews to CSV or Excel with one click. Extract star ratings, review dates, hosting type (Cloud, Data Center, Server), app version, reviewer names, full review text, vendor responses, and helpful votes - ready for analysis in Excel, Google Sheets, or any BI tool. Built for Marketplace Partners, product managers, and Solution Partners who need structured review data from Jira, Confluence, and Bitbucket app listings for competitive analysis, Voice of Customer research, and release tracking. HOW IT WORKS 1. Go to any app page on marketplace.atlassian.com 2. Open the Reviews tab 3. Optionally set filters (e.g., Hosting: Cloud) 4. Click the extension icon and hit Extract 5. Download your file - CSV or Excel (.xlsx) The extension respects your active page filters. Want only Cloud reviews? Filter on the page first, then extract - you get exactly the subset you need. Pagination is handled automatically. DATA FIELDS INCLUDED IN EVERY EXPORT - Star rating (1-5) - Review date - Hosting type (Cloud, Data Center, or Server) - App version at time of review - Reviewer name - Full review text and title - Vendor response (if available) - Helpful vote count The hosting type field is what makes Atlassian Marketplace data uniquely valuable. You can segment feedback by deployment model to see whether an app's Cloud migration is going smoothly or if Data Center users are being neglected - critical intelligence for positioning your own app. USE CASES - Cloud vs Data Center sentiment analysis: Export reviews filtered by hosting type to compare user satisfaction across deployment models - identify whether a competitor is struggling with their Cloud version or losing Data Center customers - Release impact tracking: Use the app version field to correlate spikes in negative reviews with specific releases, pinpointing exactly which update introduced bugs or regressions - Competitive feature gap analysis: Export 1-star and 2-star reviews from the top apps in your Jira or Confluence category to find recurring complaints and missing features you can build into your own product - Voice of Customer reporting: Aggregate review data across your entire app portfolio to track customer satisfaction trends, support quality, and feature request patterns over time - Vendor response benchmarking: Analyze how competing Marketplace Partners handle negative reviews - response time, tone, resolution quality - to improve your own support strategy - Solution Partner due diligence: Before recommending plugins to enterprise clients, export and analyze review data to evaluate app stability, support responsiveness, and user satisfaction across hosting types AI-POWERED ANALYSIS (OPTIONAL) Upload your exported file to our AI dashboard at reviewsextractor.com to automatically detect: - Recurring complaint patterns segmented by hosting type - Feature requests ranked by frequency - Sentiment trends across app versions and releases - Competitive positioning gaps in your Marketplace category PRIVACY AND SECURITY - Runs 100% locally in your browser - no data is sent to any server during extraction - No account or login required to start exporting - All exported files save directly to your device - Does not access any Atlassian account data - only reads publicly visible reviews Part of the Reviews Extractor suite at reviewsextractor.com. Free to try. No credit card required.