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he4rt-marketing-extension

Track and export Twitter engagement data as structured JSON.

8|Updated May 16, 2026
Search Tags:#social media#analytics#community management#Twitter#engagement tracking
One-click install
npx skills add https://github.com/Aradotso/marketing-skills --skill he4rt-marketing-extension
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: he4rt-marketing-extension
Source: https://github.com/Aradotso/marketing-skills/tree/main/skills/he4rt-marketing-extension
Command: npx skills add https://github.com/Aradotso/marketing-skills --skill he4rt-marketing-extension

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The He4rt Marketing Extension addresses the need for detailed community engagement analytics on Twitter that go beyond the data available through Twitter's native analytics tools.

Core Features & Use Cases

  • Passive Engagement Tracking: Captures and stores Twitter GraphQL responses to track engagement without requiring user interaction.
  • Data Extraction: Extracts granular engagement data, such as likes, replies, and tweet metrics.
  • Data Export: Exports engagement data in structured JSON format for further analysis or integration with analytics tools.
  • Use Case: A community manager can use this Skill to analyze engagement trends and track interactions over time to understand audience behavior.

Quick Start

Install the He4rt Marketing Extension, then navigate to Twitter and browse normally to begin capturing data.

Frequently Asked Questions about he4rt-marketing-extension

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

FAQPage Schema
How do I track Twitter engagement metrics beyond native analytics?▼

To track Twitter engagement beyond native analytics, you can capture and extract granular data like likes, replies, and tweet metrics in structured JSON format for in-depth analysis and backend integration.

How do I passively capture Twitter GraphQL responses for community management?▼

You can passively capture Twitter GraphQL responses by browsing normally with the extension active, requiring no manual user interaction to store the engagement data.

What is the best way to export Twitter community interactions into structured data?▼

The best way to export Twitter community interactions is to capture them passively and export the extracted likes, replies, and user interactions into a structured JSON format.

Can I use captured Twitter engagement data for backend integration?▼

Yes, you can use the captured Twitter engagement data for backend integration because it is exported in structured JSON format, allowing seamless integration with your existing analytics tools.

Does passive engagement tracking require manual interaction while browsing Twitter?▼

Passive engagement tracking does not require manual interaction; it automatically captures and stores Twitter data in the background while you browse normally.

How do I analyze audience behavior trends using Twitter engagement data?▼

You can analyze audience behavior trends by exporting the captured Twitter engagement data to track interactions over time and understand how your community engages with your content.

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