Extract every post and its engagement stats from any public LinkedIn profile.
The public LinkedIn profile URL to scrape (e.g. or )
Required when fetching the next result page. Please use the token from the result of your previous call.
Use this param to fetch posts of the next result page: 0 for page 1, 50 for page 2, etc.
Results to deliver
700 creditsThis agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.
Lagic Proxy
Pricing
Get a complete history of a person's LinkedIn posts, including post text, media, and detailed engagement data like likes, comments, and reposts, to analyze content strategies or research individuals.
This tool provides a structured data export of all posts from a specific public LinkedIn profile. It's designed for anyone who needs to analyze the content strategy of an individual, be it a competitor, a potential client, a thought leader, or a candidate. By providing a single LinkedIn profile URL, you get a full breakdown of their posting history. The dataset includes the full text of each post, links to any images or videos, and detailed metrics on audience engagement. You'll see not just the total number of reactions, but also a breakdown by type (likes, praise, empathy, etc.), along with comment and repost counts. This allows for a nuanced understanding of what content resonates with their audience. This is particularly useful for marketing agencies performing competitive analysis, sales teams conducting pre-call research on key prospects, and brand managers tracking the activity of company executives or influencers. The tool handles pagination, meaning you can retrieve a person's entire posting history, not just the most recent activity.
Find the public LinkedIn profile you wish to analyze.
Copy the full URL from your browser's address bar (it can be a standard or Sales Navigator URL).
Paste the URL into the 'LinkedIn URL' input field.
Run the tool to retrieve the first page of posts and engagement data.
To get the next page, copy the 'pagination_token' from the results and paste it into the corresponding input field for a new run.