Track content performance across social platforms

This skill tracks and analyzes content performance using Apify Actors to extract engagement metrics from Instagram, Facebook, YouTube and TikTok. It measures engagement, growth and campaign ROI for posts, reels, videos, ads and hashtags, exports the results and gives a concise interpretation of which content performs best.

The Actor catalog it selects from:

• Instagram: post engagement (apify/instagram-post-scraper), reel performance (apify/instagram-reel-scraper), follower growth (apify/instagram-followers-count-scraper), comment engagement, branded hashtag performance, mention tracking through tagged posts, a comprehensive scraper and an API-based scraper.
• Facebook: post performance (apify/facebook-posts-scraper), reaction analysis (apify/facebook-likes-scraper), Reels metrics, ad performance tracking (apify/facebook-ads-scraper), comment analysis and a page performance audit (apify/facebook-pages-scraper).
• YouTube: video metrics (streamers/youtube-scraper) and Shorts analytics (streamers/youtube-shorts-scraper).
• TikTok: content metrics (clockworks/tiktok-scraper).

The workflow is a five-step checklist: identify the content analytics type and select an Actor, fetch the Actor schema via mcpc, ask the user for preferences, run the analytics script, and summarize findings. The schema call returns the Actor description and README, the required and optional input parameters, and output fields when available. The user chooses the output format, either a quick answer displayed in chat with no file, a CSV with all fields, or a JSON export, and the number of results is set based on the use case. The final summary reports how many content pieces were analyzed, the file location and name, key performance insights and suggested next steps such as deeper analysis or content optimization.

Use it when you need engagement, growth or ROI metrics for posts, reels, videos, ads or hashtags, when the task is to use Apify Actors to collect cross-platform content performance data, or when you need exported analytics plus an interpretation. It is not a substitute for environment-specific validation, testing or expert review. If required inputs, permissions, safety boundaries or success criteria are missing, it stops and asks for clarification.

The input is the account, content or hashtag to analyze and the platform. Prerequisites are a .env file with APIFY_TOKEN, Node.js 20.6 or newer for native --env-file support, and the mcpc CLI installed from @apify/mcpc. The prerequisite check is not needed upfront.

node --env-file=.env ${CLAUDE_PLUGIN_ROOT}/reference/scripts/run_actor.js \
  --actor "ACTOR_ID" \
  --input 'JSON_INPUT'

The output is a chat summary or a CSV or JSON file whose name starts with the date. Error handling is spelled out: a missing token means creating .env with APIFY_TOKEN, a missing mcpc means installing it, an unknown Actor means checking the ID spelling, a failed run means checking the Apify console link, and a timeout means reducing input size or raising --timeout.

It uses Apify Actors, the mcpc CLI connected to mcp.apify.com, Node.js and the run_actor.js script from the plugin's reference scripts folder.

Social media managers, marketers and analysts who need cross-platform engagement metrics, campaign ROI figures and content performance comparisons without building scrapers.