Analyze social media audience demographics and engagement
A skill for running the right Apify Actor to analyze audience demographics across four social platforms.
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Why it matters
Extract and analyze follower demographics, engagement patterns, and behavior data from social media platforms to understand your audience composition and inform marketing strategy.
Outcomes
What it gets done
Select the appropriate Apify Actor based on platform and analysis type (Facebook, Instagram, YouTube, or TikTok)
Fetch Actor schema and configure input parameters for audience data extraction
Run the Actor to scrape follower lists, comments, engagement metrics, or profile demographics
Summarize findings with demographic insights, engagement patterns, and recommended next steps
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-apify-audience-analysis | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
Reports
Agent outcome reports
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Overview
This skill selects and runs the right Apify Actor to analyze audience demographics and engagement on Facebook, Instagram, YouTube, and TikTok, then summarizes the findings. It maps 17 named Actors to specific analysis needs and fetches each one's input schema dynamically via the mcpc CLI. It supports quick chat answers, CSV, or JSON output. Use it when you need structured audience demographic or engagement data from one of the four supported platforms. Skip it for platforms or data types it doesn't map to an Actor.
What it does
This skill analyzes social-media audience demographics, engagement patterns, and follower behavior on Facebook, Instagram, YouTube, and TikTok by selecting and running the right Apify Actor for the task, then summarizing the results. It maps 17 named Actors to specific analysis needs: for example apify/facebook-followers-following-scraper for FB follower and following lists, apify/instagram-profile-scraper for IG demographics, apify/instagram-comment-scraper for IG comment sentiment, streamers/youtube-comments-scraper for YouTube comment analysis, streamers/youtube-channel-scraper for YouTube subscriber data, and clockworks/tiktok-followers-scraper or clockworks/tiktok-profile-scraper for TikTok follower and profile demographics. Other mapped Actors cover Facebook engagement behavior (apify/facebook-likes-scraper), Facebook Reels viewers (apify/facebook-reels-scraper), Facebook comment analysis (apify/facebook-comments-scraper), and Instagram geo-tagged or tagged-network audiences (apify/instagram-search-scraper, apify/instagram-tagged-scraper).
When to use - and when NOT to
Use it when you need audience demographics, engagement patterns, or follower behavior from Facebook, Instagram, YouTube, or TikTok, when the task is to choose and run the right Apify Actor for audience analysis, or when you need structured extraction plus a summarized interpretation of the findings rather than raw scraped data.
Inputs and outputs
Requires an .env file with APIFY_TOKEN, Node.js 20.6+ for native --env-file support, and the mcpc CLI (npm install -g @apify/mcpc). The workflow tracks five steps: identify the right Actor from the mapping table; fetch its input schema dynamically via mcpc ... tools-call fetch-actor-details actor:="ACTOR_ID"; ask the user for output format, a quick chat answer with no file, a full CSV export, or a full JSON export, and how many results to pull; run it with:
node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
--actor "ACTOR_ID" \
--input 'JSON_INPUT'
adding --output and --format csv or --format json for file exports; then report the number of audience members analyzed, the output file location, key demographic insights, and suggested next steps such as deeper segmentation. Named error cases include a missing APIFY_TOKEN (ask the user to create .env), a missing mcpc install, a misspelled Actor ID, a failed run (check the Apify console link in the error output), and timeouts (reduce input size or raise --timeout).
Integrations
Built entirely on Apify Actors accessed through the mcpc CLI and Apify's MCP endpoint (mcp.apify.com), covering platform-specific scrapers across Facebook, Instagram, YouTube, and TikTok rather than a single unified API.
Who it's for
Marketers and social-media analysts who need structured audience demographic and engagement data from multiple platforms without hand-picking and configuring each Apify Actor and its input schema themselves, and who want a consistent five-step checklist (identify Actor, fetch schema, confirm preferences, run, summarize) instead of a different ad hoc process per platform.
FAQ
Common questions
Discussion
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