Linkedin Post Comments,Replies,Engagements Scraper | No Cookies

🚀 Batch LinkedIn Post Comments & Replies Scraper

Extract comments, replies, and engagement metrics from LinkedIn posts including author details, reaction counts, timestamps, and nested replies.

For other LinkedIn actors, check: https://apify.com/apimaestro

✨ Key Features

• No account needed: Don't risk your account security by sharing your cookies and don't get your account restricted or banned!
• Comments and nested replies from LinkedIn posts
• Author details for each comment and reply
• Reaction counts by type (likes, appreciations, etc.)
• Comment timestamps (both absolute and relative)
• Support for multiple post formats and IDs
• Sorting options (most relevant or most recent)
• Ability to process posts in batches very fast

🔧 Usage

Input Formats

The actor accepts various LinkedIn post identifier formats:

• Numeric post IDs: 7302346926123798528
• Activity URLs: https://www.linkedin.com/feed/update/urn:li:activity:7302346926123798528/
• Full post URLs: https://www.linkedin.com/posts/username_title-activity-7302346926123798528-dMnz

Sorting Options

You can choose how comments are sorted:

• Most relevant (default): Shows the comments LinkedIn considers most engaging first
• Most recent: Shows the newest comments first (may not always work for all posts)

Output Structure

The actor produces structured data for each comment and reply:

{
  "comment_id": "7302375502034411520",
  "text": "This is a great point! Healthcare professionals need...",
  "posted_at": {
    "timestamp": 1626782941000,
    "date": "2023-07-20 12:49:01",
    "relative": "2d"
  },
  "is_edited": false,
  "is_pinned": false,
  "comment_url": "https://www.linkedin.com/feed/update/...",
  "comment_type": "comment",
  "author": {
    "name": "John Smith",
    "headline": "Healthcare Professional | Digital Health Advocate",
    "profile_url": "https://www.linkedin.com/in/johnsmith/",
    "profile_picture": "https://media.licdn.com/dms/image/..."
  },
  "stats": {
    "total_reactions": 25,
    "reactions": {
      "like": 20,
      "appreciation": 3,
      "empathy": 2,
      "interest": 0,
      "praise": 0
    },
    "comments": 3
  },
  "post_input": "7302346926123798528"
}

For replies, additional fields are included:

{
  "comment_type": "reply",
  "parent_comment_id": "7302375502034411520"
}

Use Cases

• Content analysis and sentiment tracking
• Engagement monitoring for social media managers
• Competitive intelligence gathering
• Market research and consumer feedback analysis
• Influencer research and audience analysis