LinkedIn Content Performance Analyzer & Strategy Report

Turn raw LinkedIn post data into actionable content intelligence. Get engagement rates, best posting times, topic analysis, format effectiveness, sentiment insights, and personalized growth recommendations.

Why This Exists

Every LinkedIn scraper gives you raw data. This actor gives you intelligence. Feed it posts from any LinkedIn scraper (HarvestAPI, Apify, your own), and get a complete content strategy report that would cost $500+ from a social media consultant.

Built for social media managers, content strategists, growth marketers, and anyone building a personal brand on LinkedIn.

What You Get

Analysis	Details
Engagement Metrics	Per post engagement rate, total reactions, comments, shares, trend direction (up/down/stable), top 5 and bottom 5 posts
Posting Timing	Best day of week, best hour of day, posts per week average, consistency score, full day and hour distributions
Content Formats	Breakdown by text, image, video, article, poll, carousel. Average engagement per format. Best performing format. Diversity score
Topic Analysis	Top 20 keywords, topic clusters with engagement scores, trending topics (gaining traction recently)
Hashtag Effectiveness	Most used hashtags with engagement data, optimal hashtag count, count vs engagement correlation
Sentiment Analysis	Positive/neutral/negative distribution, sentiment vs engagement correlation (do positive posts get more likes?)
Growth Recommendations	8 to 12 specific, data backed recommendations personalized to the profile

Input

Provide a JSON array of LinkedIn posts. Compatible with HarvestAPI, Apify LinkedIn scrapers, and most common formats.

{
  "profileName": "Satya Nadella",
  "posts": [
    {
      "text": "Excited to announce our latest AI breakthrough...",
      "postedAt": "2026-03-15T10:00:00Z",
      "numLikes": 1500,
      "numComments": 200,
      "numShares": 50,
      "type": "text",
      "hashtags": ["#AI", "#leadership"],
      "images": [],
      "videoUrl": null
    }
  ]
}

Post Fields

Field	Type	Description
text	string	The post content
postedAt	string	ISO 8601 timestamp
numLikes	number	Reaction count
numComments	number	Comment count
numShares	number	Share/repost count
type	string	One of: text, image, video, article, poll, carousel
hashtags	array	List of hashtags used (optional, extracted from text if missing)
images	array	Image URLs (optional)
videoUrl	string	Video URL if video post (optional)

Output

The actor pushes a structured report to the default dataset. Here is an example:

{
  "profileName": "Satya Nadella",
  "postsAnalyzed": 50,
  "dateRange": { "from": "2026-01-01", "to": "2026-04-01" },
  "engagement": {
    "averageRate": 0.042,
    "totalReactions": 75000,
    "totalComments": 5000,
    "totalShares": 1200,
    "trend": "increasing",
    "top5Posts": [],
    "bottom5Posts": []
  },
  "timing": {
    "bestDay": "Tuesday",
    "bestHour": 9,
    "postsPerWeek": 3.2,
    "consistencyScore": 0.78,
    "dayDistribution": { "Monday": 8, "Tuesday": 12 },
    "hourDistribution": { "9": 15, "10": 8 }
  },
  "formats": {
    "distribution": { "text": 20, "image": 15, "video": 10, "article": 5 },
    "bestFormat": "video",
    "engagementByFormat": { "text": 300, "image": 450, "video": 800 },
    "diversityScore": 0.67
  },
  "topics": {
    "topWords": ["leadership", "innovation", "technology"],
    "topicClusters": [
      { "topic": "leadership", "count": 15, "avgEngagement": 1200, "trending": true }
    ]
  },
  "hashtags": {
    "mostUsed": [{ "tag": "#AI", "count": 20, "avgEngagement": 1500 }],
    "optimalCount": 3,
    "countVsEngagement": [{ "hashtagCount": 3, "posts": 15, "avgEngagement": 1200 }]
  },
  "sentiment": {
    "distribution": { "positive": 0.6, "neutral": 0.3, "negative": 0.1 },
    "engagementCorrelation": "positive posts get 2.3x more engagement than negative ones"
  },
  "recommendations": [
    "Post on Tuesdays at 9 AM UTC for maximum reach based on your historical engagement data.",
    "Your video posts get 2.7x more engagement than text. Consider creating more video content."
  ],
  "analyzedAt": "2026-04-12T15:30:00Z"
}

Use Cases

Social Media Managers: Analyze client LinkedIn profiles to build data driven content calendars. Show clients exactly what works and what does not.

Content Strategists: Identify winning topics, formats, and posting times. Stop guessing and start optimizing.

Personal Branding: Understand what resonates with your audience. Get specific recommendations to grow your reach.

Competitive Analysis: Analyze competitor profiles to reverse engineer their content strategy.

Agency Reporting: Generate professional analysis reports for clients in seconds instead of hours.

How to Get Post Data

This actor analyzes posts. To get LinkedIn post data, use any of these sources:

1. HarvestAPI LinkedIn Profile Posts (free on Apify Store)
2. Any LinkedIn scraper that outputs posts with engagement metrics
3. LinkedIn API if you have access
4. Manual export from LinkedIn analytics

Pricing

Pay per use with Apify's pay per event model.

Event	Price
Profile Analyzed	$0.02 per report

One report covers all posts you provide (up to hundreds). That is less than a penny per post analyzed.

Related Actors

Looking for more LinkedIn intelligence?

Actor	What It Does
LinkedIn Employee Scraper	Extract employee data from any company on LinkedIn
Entity OSINT Analyzer	Deep open source intelligence on any person or company
Website Intelligence API	Full technology, SEO, and security analysis of any website

Support

Built and maintained by George The Developer. Open an issue on the actor page or reach out on X @ai_in_it.