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.

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) && 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