LinkedIn Post Commenters
/linkedin-post-commentersPaste a LinkedIn post URL and get back its commenters, each with name, headline, profile URL and the exact comment they wrote.
Overview
linkedin-post-commenters calls the SyncGTM MCP linkedin_post_commenters tool to return the people who commented on a LinkedIn post, each with their name, headline, profile URL and comment text. Commenters are the warmest engagement signal on LinkedIn because they wrote something in public about the topic, not just clicked a reaction. Results come back one page per call at 0.3 credits, pages 1 to 10, sorted by Most relevant or Most recent.
What it does
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Takes one required input, post_url — the full LinkedIn post URL. A profile URL or a company page URL will not work.
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Returns each commenter's name, headline, LinkedIn profile URL and the text of the comment they left.
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Returns commenters only. The people who liked or celebrated the post come from linkedin_post_engagers, a different tool at the same price.
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sort_order switches between Most relevant (the default) and Most recent. Most recent is for a post still collecting comments.
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Results are paged. page_number runs 1 to 10, each page is a separate call and a separate charge, and 10 is the hard ceiling — a post with thousands of comments will not hand you all of them.
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Costs 0.3 credits per call, so all 10 pages of one post is 3 credits. It returns no emails, phones, company names or domains — chain find_work_email for contact details.
How to use it
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Download the skill file — it saves as linkedin-post-commenters.zip.
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In Claude, open Settings → Capabilities → Skills and upload the .zip (or unzip the linkedin-post-commenters/ folder into .claude/skills/ for Claude Code).
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Connect the SyncGTM MCP server — browser sign-in, no API key — and run check_credits once to see your balance before a batch of posts.
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Trigger it by typing /linkedin-post-commenters, pasting the post URL, and saying how many pages you want. One page is one call and one charge, so name the number.
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Tune sort_order, the one setting that matters: Most recent on a post still collecting comments (roughly its first 48 hours), Most relevant on everything older.
Use cases
Competitor post mining
Pull the commenters on a competitor's product or launch post. These are people who publicly took a position on the category, months before they fill in a form.
Same-day inbound follow-up
Work your founder's post while it is still live. Sorted by Most recent, you get the newest commenters and can reply before the thread goes cold.
Event and webinar interest lists
Turn a conference or webinar announcement post into a list of people who said in public they are going. Their own comment tells you which session pulled them in.
Personalization material
Keep each person's exact comment as the opening line of the email or DM. It beats a generic 'saw you engaged with a post' opener.
GTM workflow examples
Mine a competitor's audience into a sequence
- 1Run `linkedin_profile_posts` on the competitor's founder or head of product with max_posts 50 — the output carries a `url` plus reaction and comment counts per post — then take the three posts with the highest comment counts.
- 2Run `linkedin_post_commenters` on each of those three URLs, pages 1 to 3, sort_order Most relevant — nine calls, 2.7 credits, producing one row per commenter with headline, profile URL and comment text.
- 3Cut the rows to Head of Sales, VP Sales and RevOps headlines, drop anyone whose headline names the competitor, then run `find_work_email` on the survivors with linkedin_url set to their profile_url, 1 credit each.
- 4Run `verify_email` on every address at 0.3 credits so nothing undeliverable enters the sequence.
Outcome: A sequence-ready list of verified ICP buyers who publicly commented on a competitor's post, each row carrying their own comment as the first line of the email.
Work your own post the day it goes live
- 1Run `linkedin_profile_posts` on the founder's profile with max_posts 10 and copy the `url` of the post published this morning.
- 2Run `linkedin_post_commenters` on that URL with sort_order Most recent, page 1, re-running every few hours — Most relevant would bury the people commenting now under the early thread.
- 3Run `linkedin_post_engagers` on the same post URL, page 1, to add the people who only reacted, tagged as a colder second tier. It takes post_url and page_number only, so there is no sort to set.
- 4Run `find_work_email` on the commenter tier only, 1 credit each, and leave the reactor tier as LinkedIn connection requests.
Outcome: A same-day reply list split into two tiers: commenters with work emails for the inbox, reactors for LinkedIn DMs, both built within hours of the post going live.
Build a weekly repeat-engager list from three creators
- 1Run `linkedin_profile_posts` on each of the three creators your ICP follows, max_posts 10 — three calls, 0.9 credits — and take the two posts per creator from the last seven days with the highest comment counts.
- 2Run `linkedin_post_commenters` page 1 on each of those six posts, sort_order Most relevant — six calls, 1.8 credits.
- 3Merge the pages, deduplicate by profile_url, and flag every name that appears under more than one creator as a repeat engager.
- 4Run `linkedin_profile_comments` on the repeat engagers with max_results 25 and posted_limit month, 0.2 credits each, to pull what else they have argued about on other people's posts.
- 5Run `find_work_email` on the repeat engagers only, 1 credit each.
Outcome: A weekly list of people commenting across several creators in your category, each with a work email and a documented trail of opinions to open the conversation on.
Prompts
Paste any of these into Claude once the skill is installed and the SyncGTM MCP is connected.
Get the commenters on this LinkedIn post: [post URL]. Page 1 only, sort_order Most relevant. Return name, headline, profile URL and their comment text.Pull pages 1 to 3 of commenters on [post URL] with sort_order Most recent. Stop early if a page comes back empty, and tell me the credits used.Get pages 1 and 2 of commenters on [post URL], keep only VP Sales, Head of Sales and RevOps headlines, and show me the names you cut.Get page 1 of commenters on [post URL], then find work emails for at most 10 of them whose headline mentions RevOps. Pass each person's profile URL as linkedin_url, do not guess email patterns, and report credits used.Get the last 20 posts from linkedin.com/in/[competitor-founder], pick the 3 with the most comments, then pull page 1 of commenters on each of those post URLs. That is 4 calls and 1.2 credits — confirm the spend before you run it.Best practices
Say "commented", not "engaged". "Engaged" is ambiguous and your client may route to linkedin_post_engagers, which returns reactors instead of the people who wrote something.
Ask for pages by number. One call returns one page and costs 0.3 credits, so "get me all the commenters" can quietly become 10 calls and 3 credits.
Stop when a page comes back empty. Not every post has 10 pages of comments, and page_number is capped at 10 — so a heavily commented post never gives you the whole thread, and requesting all 10 by default pays for empty pages.
Set sort_order to Most recent on any post published in the last day or two. On a live post, Most relevant buries the newest commenters under the early thread.
Filter to your ICP before you enrich. The scrape is 0.3 credits per page; find_work_email is 1 credit per person, so a 40-name page enriched in full costs 40 credits against 6 for the 6 who match. Expect a lower hit rate than usual too — this tool returns no company, so there is no organization_name to pass to find_work_email.
Pick posts about the problem you solve, not posts about a brand. And for what one prospect has commented across other people's posts, linkedin_profile_comments is the cheaper fit at 0.2 credits.