Apify Audience Analytics

--- name: apify-audience-analysis description: Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok. risk: unknown source: community --- # 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: `bash 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):** `bash node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \ --actor "ACTOR_ID" \ --input 'JSON_INPUT' ` **CSV:** `bash 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:** `bash 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 APIFYTOKEN=yourtoken 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