LinkedIn Profile Comments Scraper

Extract public Comments made by Linkedin User. Get structured data including reaction and posts

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!
• Recent Comments
• Post content and media
• Reaction counts by type (likes, comments, etc.)
• Post URLs for sharing
• Media attachments (images, articles, etc.)
• Pagination support for older posts

🔧 Simple Usage

Provide a LinkedIn profile username to get their recent comments and activity. The username is the last part of a LinkedIn profile URL (e.g., 'satyanadella' from linkedin.com/in/satyanadella).

Advanced: Pagination Support

Each run returns up to 100 comments per page.

For accessing older posts:

1. Make first run with page_number = 1 and get first 100 results
2. Get pagination_token from run output of page 1
3. Make second run with that pagination_token and page_number = 2 to get next 100 results
4. For next 100 results, do the same by using pagination_token from second run output

Output Preview

1{
2    "comments": [
3        {
4            "posted_at": "2 months ago",
5            "text": "Post content here...",
6            "url": "https://www.linkedin.com/comments/...",
7            "author": {
8                "first_name": "Satya",
9                "last_name": "Nadella",
10                "headline": "Chairman and CEO at Microsoft",
11                "profile_url": "https://www.linkedin.com/in/satyanadella",
12                "profile_picture": "https://..."
13            },
14            "stats": {
15                "total_reactions": 2508,
16                "likes": 2048,
17                "appreciations": 63,
18                "empathy": 195,
19                "interests": 20,
20                "praises": 182,
21                "comments": 159,
22                "reposts": 159
23            },
24            "media": {
25                "type": "article",
26                "url": "https://...",
27                "thumbnail": "https://..."
28            }
29        }
30    ],
31    "metadata": {
32        "pagination_token": "dXJuOmxpOmFj..."
33    }
34}