6 items
Save ads from Facebook, TikTok, Google, and LinkedIn to your Skaler boards 🚀 Stop losing ads in screenshots & broken links! Save ads from Facebook (Meta Ad Library), TikTok Creative Center, TikTok Ad Library, LinkedIn Ad Library, and Google straight to your Skaler boards. Why install Save to Skaler? - ⚡ One-click ad saving → Save Facebook, TikTok, LinkedIn, Google ads (images & videos) - 🧠 All ads in one place → Build your own swipe file inside Skaler - 🔗 No more lost ideas → Ads stay safe in your Skaler cloud account - 💡 Smarter ads → Use Skaler AI to transcribe, translate, and improve what you save - ⏱️ Save time → No more copy-paste, screenshots, or expired links ✨ Key Features: - ✅ Save from Facebook (Meta Ad Library), TikTok Creative Center, TikTok Ad Library, LinkedIn Ad Library, and Google - ✅ Works with images & videos - ✅ Direct to your Skaler boards - ✅ Easy & fast to use - ✅ Cloud storage in your Skaler account 👉 How to Use: 1. Install the extension 2. Log in to Skaler 3. Browse ads in Facebook/TikTok/LinkedIn/Google 4. Click “Save to Skaler” 5. Pick a board → Done! Who uses this? Marketers, media buyers, ad creators, agencies, e-commerce owners—anyone using the Facebook Ad Library, TikTok Ad Library, TikTok Creative Center, LinkedIn Ad Library, or Google ads for research & inspiration. ⚡ Start now: Install Save to Skaler and build your ad library today. (Requires a free Skaler account → https://skaler.app) --- ✨ Bonus inside Skaler: Saved ads are auto-transcribed, tagged, and organized. With one click, you can even recreate competitor ads using Skaler’s AI tools. Your saved ads become ready-to-launch assets.
Mar 2, 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.