Apify Content Analytics

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-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:

• 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 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.