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:

• 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