apify-audience-analysis

Analyze audience demographics and engagement across social platforms via Apify Actors.

1|Updated Apr 12, 2026
One-click install
npx skills add https://github.com/cryptopafi/nexusos-skills --skill apify-audience-analysis-cryptopafi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: apify-audience-analysis
Source: https://github.com/cryptopafi/nexusos-skills/tree/main/apify-audience-analysis
Command: npx skills add https://github.com/cryptopafi/nexusos-skills --skill apify-audience-analysis-cryptopafi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Social audience data is fragmented across platforms and difficult to extract at scale, making it hard to understand follower demographics, preferences, behavior patterns, and engagement quality. This Skill streamlines collection and initial analysis by orchestrating Apify Actors to gather standardized follower, comment, viewership, and engagement data from Facebook, Instagram, YouTube, and TikTok.

Core Features & Use Cases

  • Actor selection & schema discovery: Choose the appropriate Apify Actor for followers, comments, posts, or videos and fetch the Actor input schema with mcpc to prepare valid inputs.
  • Automated runs & exports: Start Actor runs via a lightweight runner script, poll for completion, and export results as CSV or JSON or show a quick preview of top records.
  • Use cases: Market segmentation and demographic profiling for ad targeting, creator audience research for content strategy, and competitive benchmarking by comparing engagement patterns across platforms.

Quick Start

Run a selected Apify Actor to extract follower demographics and engagement metrics and export the full dataset as a CSV file.

Frequently Asked Questions about apify-audience-analysis

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

FAQPage Schema
How do I extract audience demographics and engagement metrics across social media platforms?

Audience demographics and engagement metrics are extracted by orchestrating Apify Actors to gather standardized follower, comment, viewership, and engagement data from Facebook, Instagram, YouTube, and TikTok.

Can I export social media audience data to CSV from Apify Actors?

Social media audience data exports to CSV or JSON are supported by running a selected Apify Actor, polling for completion, and outputting the full dataset or a quick preview of top records.

How do I discover Apify Actor input schemas for social media scraping tasks?

Apify Actor input schemas are discovered using mcpc to fetch the required input structure, ensuring valid parameters are prepared before starting Actor runs for followers, comments, posts, or videos.

Does this approach work for competitive benchmarking across Facebook, Instagram, YouTube, and TikTok?

Competitive benchmarking across Facebook, Instagram, YouTube, and TikTok is supported by extracting and comparing engagement patterns, viewership signals, and follower lists to inform segmentation and strategy.

What do I need to run Apify Actors for social media audience analysis?

Running Apify Actors for audience analysis requires token-based authentication to satisfy technical requirements, along with mcpc for discovering Actor input schemas and preparing valid run inputs.

What's the best way to analyze follower behavior patterns for content strategy?

Follower behavior patterns for content strategy are analyzed by collecting standardized viewership signals and engagement metrics across platforms, enabling creator audience research and demographic profiling.