AGENT LAB: SKILLS
skills/apify/agent-skills/apify-content-analytics

apify-content-analytics

SKILL.md

Content Analytics

Track and analyze content performance using Apify Actors to extract engagement metrics from multiple platforms.

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-scraper Post performance
Reel performance apify/instagram-reel-scraper Reel analytics
Follower growth tracking apify/instagram-followers-count-scraper Growth metrics
Comment engagement apify/instagram-comment-scraper Comment analysis
Hashtag performance apify/instagram-hashtag-scraper Branded hashtags
Mention tracking apify/instagram-tagged-scraper Tag tracking
Comprehensive metrics apify/instagram-scraper Full data
API-based analytics apify/instagram-api-scraper API access
Facebook post performance apify/facebook-posts-scraper Post metrics
Reaction analysis apify/facebook-likes-scraper Engagement types
Facebook Reels metrics apify/facebook-reels-scraper Reels performance
Ad performance tracking apify/facebook-ads-scraper Ad analytics
Facebook comment analysis apify/facebook-comments-scraper Comment engagement
Page performance audit apify/facebook-pages-scraper Page metrics
YouTube video metrics streamers/youtube-scraper Video performance
YouTube Shorts analytics streamers/youtube-shorts-scraper Shorts performance
TikTok content metrics clockworks/tiktok-scraper TikTok 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).

This returns:

  • Actor description and README
  • Required and optional input parameters
  • Output fields (if available)

Step 3: Ask User Preferences

Before running, ask:

  1. 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
  2. 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 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

Weekly Installs
500
First Seen
Jan 28, 2026
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