| name | apify-audience-analysis |
| description | "Use — Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram," |
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:
- 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
Diff History
- v00.33.0: Ingested from antigravity-awesome-skills community repo
Why This Skill Exists
Use — Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram,
What If Fails
- condition: Recurso ou ferramenta necessária indisponível
