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Scrape Pinterest pins with saves, likes, and engagement metrics # Upsell Pinterest Scraper Extract comprehensive data from Pinterest search results with one click! ## Features ✨ **Rich Data Extraction** - Saves count - Reactions, Likes, Repins - Comments and Shares - Creation dates - Pin descriptions and authors ⚡ **Fast & Flexible** - Set maximum pins to collect - Filter by minimum saves/likes - Adjustable scroll speed - Time limits for quick scraping 💾 **Easy Export** - Download as CSV - Sorted by saves (highest first) - Smart filename with search query and date - Open in Excel, Google Sheets, or any spreadsheet app 🎯 **Perfect For** - Pinterest marketers analyzing trending pins - Content creators researching popular posts - E-commerce sellers finding winning products - Social media managers tracking engagement ## How to Use 1. Navigate to any Pinterest search page 2. Click the extension icon 3. Configure your settings: - Maximum pins to collect - Minimum saves threshold - Scroll delay and time limit 4. Click "Start Scraping" 5. Watch real-time progress 6. Download CSV when complete ## Privacy & Data - All data processing happens in your browser - No data is sent to external servers - Extension only reads public Pinterest data - No login credentials are collected ## Support Having issues? Check our troubleshooting guide or contact support. ## Changelog ### Version 1.0.0 - Initial release - Basic pin scraping functionality - CSV export with comprehensive metrics - Configurable limits and filters
Nov 6, 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.