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:

• 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