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 (for fetching Actor schemas)

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:

| 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

apify-content-analytics

安装