LinkedIn Post Comments Scraper

Effortlessly extract all comments and replies from any LinkedIn post, article, or video. Get detailed engagement data including the commenter's name, headline, profile URL, comment text, media, and nested replies — all structured and ready for analysis.

Why Use This LinkedIn Comments Scraper?

• Comprehensive Extraction — Collect thousands of comments from any LinkedIn post, regardless of whether it's an activity, share, or ugcPost.
• Smart URL Resolution — Simply paste the post URL. The scraper automatically resolves complex LinkedIn links and finds the underlying content URN to ensure no comments are missed.
• Rich Structured Data — Get the exact comment text, timestamps, mentions, attached media, and commenter's profile data.
• Nested Replies — Configurable option to extract nested replies to comments.
• Export-Ready — Download results as JSON, CSV, Excel, or any format supported by Apify.

Input

Field	Type	Required	Default	Description
postUrl	string	Yes	—	URL or ID of the LinkedIn post to scrape comments for (e.g. https://www.linkedin.com/posts/activity-123456789)
maxComments	integer	No	100	Maximum number of top-level comments to collect. Set higher to get all comments on viral posts.
sortOrder	string	No	RELEVANCE	Sort order for comments (RELEVANCE or RECENT).

Usage Examples

Scrape up to 1000 comments by relevance

{
    "postUrl": "https://www.linkedin.com/posts/activity-7397121047453523969",
    "maxComments": 1000,
    "sortOrder": "RELEVANCE"
}

Output — LinkedIn Comment Data Structure

Each run produces a dataset where every item represents a single top-level comment (which may include a replies array) with the following fields:

Field	Type	Description
comment_id	string	The ID of the comment
text	string	The text content of the comment
posted_at	object	Timestamps and relative time the comment was posted
author.name	string	Full name of the commenter
author.profile_url	string	Direct link to the commenter's LinkedIn profile
stats	object	Likes, replies, and other interaction counts on the comment
mentions	array	Mentions of profiles or companies within the comment
media	object	Attached images or articles in the comment
replies	array	Nested reply comment objects
totalComments	integer	The total number of comments on the post

Sample Output

[
  {
    "comment_id": "7123456789",
    "text": "This is a great insight! Thanks for sharing.",
    "posted_at": {
      "timestamp": 1700654321000,
      "date": "2023-11-22T12:00:00.000Z",
      "relative": "1d"
    },
    "is_edited": false,
    "is_pinned": false,
    "comment_url": "https://www.linkedin.com/feed/update/...",
    "author": {
      "name": "Jane Doe",
      "headline": "Software Engineer at TechCorp",
      "profileUrn": "ACoAAA...",
      "profile_url": "https://www.linkedin.com/in/janedoe",
      "profile_picture": "https://media.licdn.com/dms/image/...",
      "is_post_author": false
    },
    "stats": {
      "total_reactions": 5,
      "reactions": {
        "like": 5,
        "appreciation": 0,
        "empathy": 0,
        "interest": 0,
        "praise": 0
      },
      "comments": 1
    },
    "mentions": [],
    "media": null,
    "replies": [
      {
        "comment_id": "7123456790",
        "text": "I completely agree!",
        "author": { "name": "John Smith" }
      }
    ],
    "totalComments": 150
  }
]