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JStaRFilms
JStaRFilmsCOMMUNITY
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high-fidelity-extraction

Extract captions, comments, engagement metrics, and brand mentions from social media via browser automation.

23|5|Updated Nov 5, 2025
Search Tags:#data-analysis#extraction#social-media#browser-automation#sentiment-analysis#brand-intelligence
One-click install
npx skills add https://github.com/JStaRFilms/VibeCode-Protocol-Suite --skill high-fidelity-extraction
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: high-fidelity-extraction
Source: https://github.com/JStaRFilms/VibeCode-Protocol-Suite/tree/main/assets/.agent/skills/high-fidelity-extraction
Command: npx skills add https://github.com/JStaRFilms/VibeCode-Protocol-Suite --skill high-fidelity-extraction

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables precise extraction of granular social media and web intelligence using browser automation and DOM analysis to replace manual data gathering.

Core Features & Use Cases

  • Extraction of captions, top comments, engagement metrics, and brand mentions across social platforms
  • Deterministic browser-navigation and DOM-based data harvesting for repeatable results
  • Use Case: Monitor brand presence and sentiment across Instagram, TikTok, YouTube, and pages with dynamic content.

Quick Start

Provide the target profiles and let the skill initiate browser automation to start extraction.

Frequently Asked Questions about high-fidelity-extraction

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract social media data for brand intelligence and sentiment analysis?▼

Social media data extraction for brand intelligence uses deterministic browser automation to harvest captions, comments, and engagement metrics across platforms like Instagram, TikTok, and YouTube. This DOM-based approach replaces manual data gathering with structured outputs for sentiment analysis.

Can I use browser automation to extract top comments and engagement metrics from Instagram and TikTok?▼

Yes, browser automation extracts top comments and engagement metrics from Instagram and TikTok through deterministic browser-navigation and DOM-based data harvesting. This ensures reproducible results when monitoring dynamic social media pages.

What is the best way to monitor brand mentions across dynamic web environments?▼

Monitoring brand mentions across dynamic web environments is best achieved through multi-level extraction using deterministic browser actions. This captures granular intelligence like captions and engagement metrics, structuring outputs specifically for competitive analysis and sentiment mapping.

Does this data extraction method work on pages with dynamic content like YouTube?▼

This data extraction method works on pages with dynamic content like YouTube by using deterministic browser-navigation and DOM analysis. It reliably harvests granular social media intelligence and engagement data for reproducible monitoring.

How do I start scraping captions and brand mentions for competitive analysis?▼

To start scraping captions and brand mentions for competitive analysis, provide the target social media profiles to initiate browser automation. The skill then automatically extracts structured intelligence for your sentiment mapping tasks.

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