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)

Pagination Support

Each run returns up to 100 post data per page.

Page Number is the field used for pagination. It's 1 by default.

• Page 1: Returns results 1-100
• Page 2: Returns results 101-200
• Page 3: Returns results 201-300
• And so on...

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