apify-audience-analysis

Extract audience demographics, engagement patterns, and behavior data from Facebook, Instagram, YouTube, and TikTok. Supports 18+ specialized Actors covering follower demographics, engagement metrics, comments, and profile analysis across all four platforms Offers three output formats: quick chat display, CSV export, or JSON export for downstream analysis Requires Apify token and mcpc CLI tool; uses dynamic schema fetching to adapt inputs to each Actor's requirements Includes structured workflow with platform selection, schema inspection, user preference collection, and result summarization

INSTALLATION

npx skills add https://github.com/apify/agent-skills --skill apify-audience-analysis

Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

Audience Analysis

Name: apify-audience-analysis
Author: apify

Analyze and understand your audience using Apify Actors to extract follower demographics, engagement patterns, and behavior data from multiple platforms.

Prerequisites

(No need to check it upfront)

.env file with APIFY_TOKEN

Node.js 20.6+ (for native --env-file support)

mcpc CLI tool: npm install -g @apify/mcpc

Workflow

Copy this checklist and track progress:

Task Progress:

- [ ] Step 1: Identify audience analysis type (select Actor)

- [ ] Step 2: Fetch Actor schema via mcpc

- [ ] Step 3: Ask user preferences (format, filename)

- [ ] Step 4: Run the analysis script

- [ ] Step 5: Summarize findings

Step 1: Identify Audience Analysis Type

Select the appropriate Actor based on analysis needs:

User Need

Actor ID

Best For

Facebook follower demographics

apify/facebook-followers-following-scraper

FB followers/following lists

Facebook engagement behavior

apify/facebook-likes-scraper

FB post likes analysis

Facebook video audience

apify/facebook-reels-scraper

FB Reels viewers

Facebook comment analysis

apify/facebook-comments-scraper

FB post/video comments

Facebook content engagement

apify/facebook-posts-scraper

FB post engagement metrics

Instagram audience sizing

apify/instagram-profile-scraper

IG profile demographics

Instagram location-based

apify/instagram-search-scraper

IG geo-tagged audience

Instagram tagged network

apify/instagram-tagged-scraper

IG tag network analysis

Instagram comprehensive

apify/instagram-scraper

Full IG audience data

Instagram API-based

apify/instagram-api-scraper

IG API access

Instagram follower counts

apify/instagram-followers-count-scraper

IG follower tracking

Instagram comment export

apify/export-instagram-comments-posts

IG comment bulk export

Instagram comment analysis

apify/instagram-comment-scraper

IG comment sentiment

YouTube viewer feedback

streamers/youtube-comments-scraper

YT comment analysis

YouTube channel audience

streamers/youtube-channel-scraper

YT channel subscribers

TikTok follower demographics

clockworks/tiktok-followers-scraper

TT follower lists

TikTok profile analysis

clockworks/tiktok-profile-scraper

TT profile demographics

TikTok comment analysis

clockworks/tiktok-comments-scraper

TT comment engagement

Step 2: Fetch Actor Schema

Fetch the Actor's input schema and details dynamically using mcpc:

export $(grep APIFY_TOKEN .env | xargs) &#x26;&#x26; mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call fetch-actor-details actor:="ACTOR_ID" | jq -r ".content"

Replace ACTOR_ID with the selected Actor (e.g., apify/facebook-followers-following-scraper).

This returns:

Actor description and README

Required and optional input parameters

Output fields (if available)

Step 3: Ask User Preferences

Before running, ask:

Output format:

Quick answer - Display top few results in chat (no file saved)

CSV - Full export with all fields

JSON - Full export in JSON format

Number of results: Based on character of use case

Step 4: Run the Script

Quick answer (display in chat, no file):

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \

  --actor "ACTOR_ID" \

  --input 'JSON_INPUT'

CSV:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \

  --actor "ACTOR_ID" \

  --input 'JSON_INPUT' \

  --output YYYY-MM-DD_OUTPUT_FILE.csv \

  --format csv

JSON:

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \

  --actor "ACTOR_ID" \

  --input 'JSON_INPUT' \

  --output YYYY-MM-DD_OUTPUT_FILE.json \

  --format json

Step 5: Summarize Findings

After completion, report:

Number of audience members/profiles analyzed

File location and name

Key demographic insights

Suggested next steps (deeper analysis, segmentation)

Error Handling

APIFY_TOKEN not found - Ask user to create .env with APIFY_TOKEN=your_token

mcpc not found - Ask user to install npm install -g @apify/mcpc

Actor not found - Check Actor ID spelling

Run FAILED - Ask user to check Apify console link in error output

Timeout - Reduce input size or increase --timeout