Regtransfers/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 (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

APIFYTOKEN not found - Ask user to create.env with APIFYTOKEN=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.
• never 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.