3 items
Extract TikTok Comments instantly — search keywords, filter spam, sort by likes, download CSV/JSON/TXT in one click. TikTok Comment Finder Tool — Extract & Export Comments Scan any TikTok video and extract thousands of comments in minutes. Perfect for marketers, creators, researchers, and giveaway managers. ⚡ FEATURES: - Auto-scroll & fetch all comments + replies - Real username & display name extraction - Search by keyword (WhatsApp, Telegram, email, crypto) - Smart Filters: Emails, Links, WhatsApp, Telegram, Verified users, High Likes, Replies - Filter options: No Duplicates, One Per User, No Emoji, Has Emoji, Sticker Only, Text+Emoji - Sort by: Most Likes, Most Recent, Oldest First - Export to CSV, JSON, TXT with one click - Copy usernames or comments to clipboard instantly - Auto-retry scroll if comments stop loading - Desktop notifications when scan retries or completes - Dark & Light mode 📊 USE CASES: - Find giveaway participants from comments - Collect leads, emails, WhatsApp numbers - Research audience sentiment & engagement - Export verified user comments - Filter out spam & duplicate comments - Analyze top liked comments 🔒 PRIVACY & SECURITY: - Works ONLY on tiktok.com - Zero data sent to any external server - No login or TikTok account required - All data stays on your device - Open source friendly — no hidden code HOW TO USE: 1. Open any TikTok video in Chrome 2. Click the TikTok Comment Finder Tool icon 3. Press "Start Scan" — auto-scrolls & fetches 4. Use filters to narrow results 5. Export as CSV, JSON, or TXT
May 27, 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.