Batch LinkedIn Post Comments & Replies Scraper

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

Our LinkedIn Scraping Suite

Get comprehensive LinkedIn data with our specialized actors:

• LinkedIn Jobs Scraper - Search and filter job listings with advanced criteria
• LinkedIn Job Detail Scraper - Extract comprehensive details about specific job postings
• LinkedIn Profile Detail Scraper - Get detailed public profile information
• LinkedIn Profile Posts Scraper - Extract user posts and activity
• LinkedIn Post Comments Scraper - Extract comments, replies and engagement from posts
• LinkedIn Profile Comments Scraper - Extract user comments and related data
• LinkedIn Profile Reactions Scraper - Extract user reactions and related data
• LinkedIn Company Detail Scraper - Extract comprehensive company information
• LinkedIn Company Posts Scraper - Extract company posts and related data

Each actor is designed to work independently or in combination for advanced use cases.

Features

• 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:

1{
2  "comment_id": "7302375502034411520",
3  "text": "This is a great point! Healthcare professionals need...",
4  "posted_at": {
5    "timestamp": 1626782941000,
6    "date": "2023-07-20 12:49:01",
7    "relative": "2d"
8  },
9  "is_edited": false,
10  "is_pinned": false,
11  "comment_url": "https://www.linkedin.com/feed/update/...",
12  "comment_type": "comment",
13  "author": {
14    "name": "John Smith",
15    "headline": "Healthcare Professional | Digital Health Advocate",
16    "profile_url": "https://www.linkedin.com/in/johnsmith/",
17    "profile_picture": "https://media.licdn.com/dms/image/..."
18  },
19  "stats": {
20    "total_reactions": 25,
21    "reactions": {
22      "like": 20,
23      "appreciation": 3,
24      "empathy": 2,
25      "interest": 0,
26      "praise": 0
27    },
28    "comments": 3
29  },
30  "post_input": "7302346926123798528"
31}

For replies, additional fields are included:

1{
2  "comment_type": "reply",
3  "parent_comment_id": "7302375502034411520"
4}

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