apify-audience-analysis

Audience Analysis

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

When to Use

• You need audience demographics, engagement patterns, or follower behavior from social platforms.

• The task is to choose and run Apify Actors for audience analysis across Facebook, Instagram, YouTube, or TikTok.

• You need structured extraction plus a summarized interpretation of audience findings.

Prerequisites

• .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) && 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:
1. 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
2. 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

Limitations

• Use this skill only when the task clearly matches the scope described above.

• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.

• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.