apify-content-analytics_skill

Overview

This skill helps you track engagement metrics, measure campaign ROI, and compare content performance across Instagram, Facebook, YouTube, and TikTok. It uses Apify Actors to scrape platform-specific metrics and exports results as quick summaries, CSV, or JSON for downstream analysis. The workflow guides selection of the right Actor, schema fetching, execution, and result summarization.

How this skill works

Pick the Actor that matches your analytics goal (post, reel, comments, hashtags, ads, or full account scraping). Fetch the Actor input schema with the mcpc CLI and your APIFY_TOKEN, supply input parameters, then run a Node.js script to execute the Actor. Results can be shown inline for quick answers or exported to CSV/JSON for reporting and ROI calculations.

When to use it

• Monitoring campaign performance across multiple platforms
• Generating exports for weekly or monthly content reports
• Comparing organic vs. paid content engagement
• Auditing page/channel health (followers, engagement trends)
• Quick checks when troubleshooting missing or unexpected metrics

Best practices

• Store APIFY_TOKEN in a .env file and run Node.js with --env-file for secure access
• Use mcpc to fetch the Actor schema so you only supply supported input fields
• Start with small result sets to validate parameters before full runs to avoid timeouts
• Choose CSV for spreadsheets and JSON for programmatic pipelines
• Record the Actor ID and exact input used for reproducible runs

Example use cases

• Export last 30 days of Instagram post engagement into CSV to calculate engagement rate
• Fetch YouTube video metrics and compare watch-time and retention across two campaigns
• Track follower growth on Instagram weekly using the followers-count Actor
• Gather Facebook ad metrics and export JSON for ROI computation in your BI tool
• Scrape TikTok content metrics to identify top-performing formats and hashtags