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Professional tool for extracting and exporting keywords 🚀 TagScout POD Keyword Extractor is the ultimate research utility for Print-On-Demand (POD) sellers, designers, and e-commerce entrepreneurs. Stop wasting time manually researching tags—instantly extract, analyze, and export top-performing keywords from any seller page with a single click. Whether you are optimizing your own listings for SEO or analyzing competitor strategies, TagScout delivers the exact data you need in milliseconds to help your products rank higher and sell more. ✨ Key Features: 🎯 Instant Extraction: Automatically pull the most relevant and frequently used keywords from any active store or product page. #️⃣ Hashtag Converter: Instantly transform extracted tags into ready-to-use hashtags for seamless social media marketing. 💾 Bulk Export (CSV & TXT): Download your extracted data directly to your device for easy spreadsheet management and future reuse. 📋 One-Click Copy: Copy all raw tags or formatted hashtags to your clipboard instantly without manual highlighting. ⚡ Lightning Fast & Native: Built for maximum speed with a lightweight, non-intrusive UI that never interrupts your workflow. 🛠️ How to Use: 🛒 Navigate to any Print-On-Demand or e-commerce seller/product page. 🖱️ Open the TagScout extension. ▶️ Click "Extract from Current Page". 📥 Copy the results or export them directly as a TXT or CSV file. 🔒 Privacy & Security: 100% secure and private. TagScout operates entirely locally within your browser. No user data, browsing history, or personal information is ever tracked, collected, or stored on external servers.
May 7, 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.