Unknown author · Tools
5 items
Scrape Facebook Ad Library — videos, images, text, Library IDs 🎯 Facebook Ads Library Scraper Pro — Competitor Ad Analysis & Ad Spy Tool Automatically collect all data from Facebook Ad Library in just a few clicks! 📊 Complete Data Collection: • Auto-load ALL ads from any Ad Library search page • Extract Library IDs, ad texts, headlines, call-to-action buttons • Capture launch dates, platforms, and advertiser info • Detect active and inactive ads 🎬 Video & Image Downloader: • Bulk download all video ads in original HD quality • Download all images and carousel creatives • Automatic duplicate removal — no repeated files • Preserve media with full metadata 📁 Export to CSV & JSON: • CSV export — Excel-compatible with UTF-8 support • JSON export — structured data for developers and APIs • All ad fields included: ID, status, dates, text, links, media URLs 🔍 Ad Spy & Watchlist: • Save advertisers to your Watchlist for daily monitoring • Auto-scan tracks new and removed ads automatically • Compare ad changes over time • Hunt creatives across multiple advertisers 👥 Built for: • Media buyers researching competitor ads • Agencies managing multiple client campaigns • Dropshippers finding winning products • Marketers analyzing ad strategies and creatives 🌍 Available in 12 languages 🔒 Privacy: We do not store or sell your data. All scraping happens locally in your browser. 💬 Support: @kirichuk_m (Telegram) | michael@getscaleforge.com ⚡ Works on: facebook.com/ads/library
Nov 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.