Overview Install Files 2 SecuritySummary This source did not publish a separate summary. Review SKILL.md before using the skill.
Content Analytics
Track and analyze content performance using Apify Actors to extract engagement metrics from multiple platforms.
When to Use
You need engagement, growth, or ROI metrics for posts, reels, videos, ads, or hashtags.
The task is to use Apify Actors to collect cross-platform content performance data.
You need exported analytics results and a concise interpretation of what content is performing best.
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 content analytics type (select Actor)
- [ ] Step 2: Fetch Actor schema via mcpc
- [ ] Step 3: Ask user preferences (format, filename)
- [ ] Step 4: Run the analytics script
- [ ] Step 5: Summarize findings
Step 1: Identify Content Analytics Type
Select the appropriate Actor based on analytics needs:
User Need Actor ID Best For Post engagement metrics apify/instagram-post-scraperPost performance Reel performance apify/instagram-reel-scraperReel analytics Follower growth tracking apify/instagram-followers-count-scraperGrowth metrics Comment engagement apify/instagram-comment-scraperComment analysis Hashtag performance apify/instagram-hashtag-scraperBranded hashtags Mention tracking apify/instagram-tagged-scraper
Comprehensive metrics apify/instagram-scraperFull data
API-based analytics apify/instagram-api-scraperAPI access
Facebook post performance apify/facebook-posts-scraperPost metrics
Reaction analysis apify/facebook-likes-scraperEngagement types
Facebook Reels metrics apify/facebook-reels-scraperReels performance
Ad performance tracking apify/facebook-ads-scraperAd analytics
Facebook comment analysis apify/facebook-comments-scraperComment engagement
Page performance audit apify/facebook-pages-scraperPage metrics
YouTube video metrics streamers/youtube-scraperVideo performance
YouTube Shorts analytics streamers/youtube-shorts-scraperShorts performance
TikTok content metrics clockworks/tiktok-scraperTikTok analytics
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/instagram-post-scraper).
Actor description and README
Required and optional input parameters
Output fields (if available)
Step 3: Ask User Preferences
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'
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
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 content pieces analyzed
File location and name
Key performance insights
Suggested next steps (deeper analysis, content optimization)
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
Limitations
Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.