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Description
Extract reviews from the current Amazon product reviews page and export to CSV, XLSX, or JSON. Export Software Advice reviews to CSV or Excel with one click. Extract ratings, review dates, reviewer names, industry, pros, cons, "Reasons for Switching," "Reasons for Choosing," and full review text - ready for analysis in Excel, Google Sheets, Power BI, or any B2B research tool. Built for sales enablement teams, SaaS founders, software consultants, and product managers who need structured review data for win/loss analysis, competitive research, and churn diagnosis. HOW IT WORKS 1. Go to any product page on softwareadvice.com 2. Click the extension icon and hit Extract 3. Choose your export format - CSV or Excel (.xlsx) 4. Download your analysis-ready file The extension is specifically designed for Software Advice's structured review layout, automatically expanding truncated text and preserving the unique data fields that make this platform valuable for B2B decision-making research. DATA FIELDS INCLUDED IN EVERY EXPORT - Overall rating - Review date - Reviewer name - Reviewer industry - Review title - Pros section (full text) - Cons section (full text) - Full review body - "Reasons for Switching" (why the reviewer left their previous tool) - "Reasons for Choosing" (what drove the purchase decision) The "Reasons for Switching" and "Reasons for Choosing" fields are what make Software Advice data uniquely valuable. No other review platform captures the specific trigger that made a buyer leave one product for another - this is the exact data sales teams need for competitive positioning and churn analysis. USE CASES - Win/loss analysis: Export the "Reasons for Choosing" field in bulk to identify which features and factors most frequently drive purchase decisions in your software category - Churn research: Analyze "Reasons for Switching" data across competing products to understand the exact tipping points that cause users to leave - then make sure your product avoids those triggers - Sales battle cards: Extract competitor Cons sections and switching reasons, then organize them into objection-handling scripts and competitive talking points for your sales team - Software selection consulting: Aggregate review data across multiple products in a category to build data-backed recommendations for clients evaluating their tech stack - Product roadmap validation: Use the Pros from market leaders to understand which features buyers consider table-stakes, and the Cons to find where established products are failing - Market entry research: Before entering a new software category, export reviews from the top-rated products to map the decision criteria, switching triggers, and unmet needs that define the competitive landscape AI-POWERED ANALYSIS (OPTIONAL) Upload your exported file to our AI dashboard at reviewsextractor.com to automatically detect: - Recurring switching triggers and churn patterns - Feature requests ranked by frequency - Sentiment trends across product categories - Competitive positioning gaps your product can exploit 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 - No tracking or analytics collected from your browsing Part of the Reviews Extractor suite at reviewsextractor.com. Free to try. No credit card required.