LinkedIn Post Engagers

Give it a LinkedIn post URL, get back the people who reacted to it.

What it does

• Returns the people who reacted to a LinkedIn post — likes, celebrates and the rest.
• Reacted, not commented. For the people who wrote a comment, use linkedin_post_commenters.
• Results are paged. page_number runs 1 to 10 — each page is a separate call and a separate charge.
• Reactions are a wider, shallower signal than comments. Most posts have several times more reactors than commenters, but a like says less than a sentence does.
• Run both tools on the same post when you want full coverage of an audience.

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

Parameters

How to use it

Get the people who reacted to this LinkedIn post: <post_url>

Now pull pages 2 to 10 of the same post. Stop early if a page comes back empty.

Also pull the commenters on that post and merge the two lists, deduplicated
by profile URL. Mark which people did both.

Keep only Head of Sales, VP Sales and RevOps titles, then find their work
emails. Do not guess email patterns. Report credits used.

Example prompts

Best prompting practices

• Say “reacted” or “liked”. “Engaged” is ambiguous and your client may route to linkedin_post_commenters instead.
• Ask for pages explicitly. One call returns one page. “Pages 1 to 10” means ten calls and ten charges.
• Rank commenters above reactors. When you merge the two lists, treat a comment as the stronger signal.
• Filter before you enrich. A reactor list is long and mostly out of ICP. Cut it down before spending enrichment credits.
• Pick posts on your topic. A post about the problem you solve produces a better list than a post about a brand.

Output

{
  "engagers": [
    {
      "name": "Jane Doe",
      "headline": "VP Revenue Operations",
      "profile_url": "https://linkedin.com/in/janedoe",
      "reaction": "LIKE"
    }
  ]
}

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.