Skillshub apify-content-analytics

Track engagement metrics, measure campaign ROI, and analyze content performance across Instagram, Facebook, YouTube, and TikTok.

install

source · Clone the upstream repo

git clone https://github.com/ComeOnOliver/skillshub

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/ComeOnOliver/skillshub "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/apify/agent-skills/apify-content-analytics" ~/.claude/skills/comeonoliver-skillshub-apify-content-analytics && rm -rf "$T"

manifest: skills/apify/agent-skills/apify-content-analytics/SKILL.md

source content

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