high-fidelity-data-extraction

This skill enables the agent to extract deep intelligence from social media platforms (Instagram, TikTok, YouTube, etc.) and complex web environments with high precision.

🚀 Core Philosophy: The Extraction Spectrum

When tasked with extraction, always check the prompt for specific limitations. If no limitations are provided, assume Standard Level.

Extraction Capability Matrix

| 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 |

📊 Tabular Output Format

Unless the user specifies otherwise, all extracted data should be compiled into a Markdown table for maximum scannability.

Standard Template:

| 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 |

🧠 Smart Filtering Strategy (Instagram Reels)

When the goal involves "high-performing" content or maximizing engagement:

1. Reels First: Navigate to the /reels/ tab immediately. View counts are not visible on the main grid but are overlayed on Reel thumbnails.
2. Baseline Calculation:
   • Extract view counts from the first 6-12 visible Reels.
   • Calculate the average (mean) view count.
3. Filtration:
   • Only click/extract posts that exceed this average.
   • This ensures we focus valuable browser resources on proven content.

🛠️ Execution Instructions for the Subagent

1. DOM First: Never navigate blindly. Use browser_get_dom to identify the obfuscated class names for captions and comments.
2. Surgical Navigation: To avoid 429 errors (Too Many Requests), navigate directly to post URLs once the links are gathered from the grid, rather than infinite scrolling.
3. Expansion Logic: Always look for ... more or "View all comments" buttons and trigger them via JavaScript to ensure data completeness.
4. Verification: Always capture a final screenshot of the "Main Extraction Target" to verify text accuracy against the visual truth.

🛑 Limitations & Compliance

• Obey Prompt Bounds: If the user says "Only get usernames," do NOT extract captions.
• Privacy: Respect platform TOS by focusing on public-facing data and ignoring private user details.
• Anti-Spam: Filter out "Promote on..." or generic bot comments automatically.