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Advanced protocol for extracting granular social media and web intelligence using browser automation and DOM analysis.
This skill enables the agent to extract deep intelligence from social media platforms (Instagram, TikTok, YouTube, etc.) and complex web environments with high precision.
When tasked with extraction, always check the prompt for specific limitations. If no limitations are provided, assume Standard Level.
| Feature | Basic (Standard) | Deep (Advanced) | Elite (Full Intelligence) |
|---|---|---|---|
| Captions | Full Text + Hashtags | + Edited timestamps | + OCR from video overlays |
| Comments | Top 3-5 (Top Level) | Top 10 + Threaded replies | Full sentiment & pain point mapping |
| Engagement | Likes / Views count | Engagement Rate % | Share/Save estimates & Viral Velocity |
| Brand Intel | @Mentions in caption | + Link-in-bio analysis | + Competitor comparison vs Meta Ad Library |
| Visuals | Profile Screen/Grid | Individual Post Screenshots | UI/UX Reverse Engineering of Funnel |
| Technical | URL collection | Precise ISO Timestamps | API Pattern Mapping & DB Schema generation |
Unless the user specifies otherwise, all extracted data should be compiled into a Markdown table for maximum scannability.
| Post Type | Caption Snippet | Top Comments (Synthesized) | Key Metrics | Brand/Tags |
| :--- | :--- | :--- | :--- | :--- |
| Pinned | "How to be..." | Users asking about discipline tips | 30k Likes | @Adidas, #NYC |
| Recent 1 | "Day in life..." | High praise for work/life balance | 15k Views | @CeraVe |
When the goal involves "high-performing" content or maximizing engagement:
/reels/ tab immediately. View counts are not visible on the main grid but are overlayed on Reel thumbnails.browser_get_dom to identify the obfuscated class names for captions and comments.... more or "View all comments" buttons and trigger them via JavaScript to ensure data completeness.