LinkedIn Profile Comments

Give it a LinkedIn profile URL, get back the comments that person has left on other people’s posts.

What it does

• Returns the comments a profile has left on other people’s posts. A bare username works in place of the full URL.
• Each comment comes with its replies and the parent post’s author and engagement, so you can read it in context.
• This is the strongest personalisation signal of the three profile-activity tools — it surfaces opinions in the prospect’s own words.
• posted_limit narrows results by recency — any, 24h, week, month, 3months, 6months.

Many people comment far more often than they post. If linkedin_profile_posts comes back thin, try this tool before writing the prospect off as inactive.

Use cases

• Write an opener from what they argued. A comment is an opinion in their own words, which beats any inferred interest.
• Read a quiet prospect. People who publish nothing often comment weekly; this finds the activity a posts-only check misses.
• Learn who they listen to. Repeat authors in their comment history show whose views shape their thinking.
• Qualify a lead’s actual priorities. What someone keeps arguing about is a better read on their agenda than their job title.

How to use it

Show me the comments linkedin.com/in/janedoe has left in the past month.

Get 25 of her comments from the last 3 months. For each, include the
parent post's author and topic.

From those comments, list the positions she has actually argued —
things she is for and against. Quote her wording.

Draft a two-line opener that engages with one of those positions
directly. No compliments, no summary of her comment back to her.

Example prompts

Best prompting practices

• Say “comments they left”. Otherwise your client may reach for the posts or reactions tool.
• Set posted_limit. For outreach timing, week or month beats any. Use the exact enum — 24h, week, month, 3months, 6months.
• Widen before you write someone off. A 24h window returning nothing means nothing. Retry at month before calling the profile inactive.
• Raise max_results deliberately. Three comments is a spot check. Twenty-five shows a consistent point of view, and costs eight times as much — you pay per comment.
• Ask for quotes. “Quote her wording” gives you material you can respond to, rather than a paraphrase you have to trust.
• Ask for the parent post too. Comment text, the post it sat under, the author and the date — the context is what makes the comment mean something.
• Do not parrot the comment back. Engaging with the position works. Repeating what they said reads as a bot.
• Fall back to this tool when the profile has no posts. Commenting is far more common than publishing.

Output

{
  "comments": [
    {
      "content": "Disagree — attribution is not the bottleneck here...",
      "posted_at": "2026-07-30",
      "parent_post": {
        "author": "John Smith",
        "engagement": { "reactions": 412, "comments": 58 }
      },
      "replies": []
    }
  ]
}

Credits and limits

0.2 credits per comment returned. max_results accepts 1–50 and defaults to 3, so the default call costs up to 0.6 credits and a 50-result call up to 10. A profile with fewer comments than the cap costs less. Run check_credits (free) before a large batch.

Parameters

Related tools

Next steps

• All MCP tools — the full catalogue with credit costs
• MCP use cases — personalisation workflows
• AI for Sales Reps — workflows that chain this tool into outreach

Keep learning

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