Analyze and understand your audience using Apify Actors to extract follower demographics, engagement patterns, and behavior data from multiple platforms.
Prerequisites
(No need to check it upfront)
-
.envfile withAPIFY_TOKEN -
Node.js 20.6+ (for native
--env-filesupport) -
mcpcCLI tool (for fetching Actor schemas)
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:
| 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