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* fix: stabilize validation and tests on Windows * test: add Windows smoke coverage for skill activation * refactor: make setup_web script CommonJS * fix: repair aegisops-ai frontmatter * docs: add when-to-use guidance to core skills * docs: add when-to-use guidance to Apify skills * docs: add when-to-use guidance to Google and Expo skills * docs: add when-to-use guidance to Makepad skills * docs: add when-to-use guidance to git workflow skills * docs: add when-to-use guidance to fp-ts skills * docs: add when-to-use guidance to Three.js skills * docs: add when-to-use guidance to n8n skills * docs: add when-to-use guidance to health analysis skills * docs: add when-to-use guidance to writing and review skills * meta: sync generated catalog metadata * docs: add when-to-use guidance to Robius skills * docs: add when-to-use guidance to review and workflow skills * docs: add when-to-use guidance to science and data skills * docs: add when-to-use guidance to tooling and automation skills * docs: add when-to-use guidance to remaining skills * fix: gate bundle helper execution in Windows activation * chore: drop generated artifacts from contributor PR * docs(maintenance): Record PR 457 sweep Document the open issue triage, PR supersedence decision, local verification, and source-only cleanup that prepared PR #457 for re-running CI. --------- Co-authored-by: sickn33 <sickn33@users.noreply.github.com>
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name, description, risk, source
| name | description | risk | source |
|---|---|---|---|
| apify-audience-analysis | Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok. | unknown | 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)
.envfile withAPIFY_TOKEN- Node.js 20.6+ (for native
--env-filesupport) mcpcCLI 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