Extract all public comments made by any LinkedIn user, along with the posts they commented on.
List of LinkedIn usernames or profile URLs to scrape comments from. Enter one username/URL per line. URLs will be automatically converted to usernames.
Maximum number of comments to scrape from each profile. Minimum is 10 comments. Default is 10.
Results to deliver
200 creditsThis agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.
Lagic Proxy
Pricing
Provide a list of LinkedIn profiles to get a dataset of their recent public comments. The data includes the comment text, commenter's profile, and full details of the original post, useful for competitive analysis and sales intelligence.
Understanding what your competitors, prospects, or industry leaders are talking about on LinkedIn provides a significant advantage. Manually tracking this activity is time-consuming and impractical. This tool automates the process by gathering the public comments made by specific individuals. Simply provide a list of LinkedIn profile URLs or usernames. The tool will then find their recent comments across the platform and return a structured dataset for each one. You get the full comment text, a link to it, and engagement stats like reactions and replies. Crucially, you also get the context. For each comment, the tool extracts the original post it was left on, including the post's author, text, images or video, and its own engagement metrics. This allows you to analyze not just *what* someone said, but *where* and *why* they said it. Because this tool does not require you to provide a LinkedIn session cookie, you can run it without logging in, simplifying setup and protecting your account's privacy.
Create a list of the LinkedIn profile URLs or usernames you want to track.
Paste the list into the 'LinkedIn Usernames or Profile URLs' field.
Set the maximum number of recent comments you want to retrieve for each profile.
Click 'Run' to start the data collection.
Download the collected comments and post data as a CSV or JSON file.