LinkedIn Post Commenters

Give it a LinkedIn post URL, get back the people who commented on it.

What it does

• Returns the people who commented on a LinkedIn post.
• Commented, not reacted. For the people who liked or celebrated a post, use linkedin_post_engagers.
• sort_order is "Most relevant" (default) or "Most recent".
• Results are paged. page_number runs 1 to 10 — each page is a separate call and a separate charge.
• Commenters are the warmest engagement signal on LinkedIn: they wrote something, in public, about the topic.

This gives you people. It does not give you contact details — chain find_work_email for that.

Parameters

How to use it

Get the commenters on this LinkedIn post: <post_url>

Now pull pages 2 to 5 of the same post, sorted by most recent.

Keep only the people with a Head of Sales, VP Sales or RevOps title.
Drop everyone else.

Find work emails for the profiles that survived the filter. Do not guess
email patterns. Report credits used.

Example prompts

Best prompting practices

• Say “commented”, not “engaged”. “Engaged” is ambiguous and your client may route to linkedin_post_engagers instead.
• Ask for pages explicitly. One call returns one page. “Pages 1 to 5” means five calls and five charges — say the number so nothing is a surprise.
• Use Most recent for live posts. On a post that is still collecting comments, relevance sorting buries the newest people.
• Filter before you enrich. Enrichment costs more than the scrape. Cut to your ICP first, then look up emails.
• Pick posts on your topic, not your competitor’s brand. A post about the problem you solve produces a better list than a post about a company.

Output

{
  "commenters": [
    {
      "name": "Jane Doe",
      "headline": "VP Revenue Operations",
      "profile_url": "https://linkedin.com/in/janedoe",
      "comment": "This matches what we saw last quarter."
    }
  ]
}

Credits and limits

0.3 credits per call. One call returns one page, so 10 pages costs 3 credits. Maximum page number is 10. Run check_credits (free) before working through a list of posts.

Related tools

Next steps

• Automated Outbound — build a warm list from post engagement, end to end
• All MCP tools — the full catalogue with credit costs

Keep learning

Two courses take these tools past the reference page — clustered by GTM job, then chained into workflows.