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Export LinkedIn post likes and comments to CSV with Claude or ChatGPT (2026)

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Export everyone who liked or commented on LinkedIn post URL to a CSV with their name, headline and profile link, and flag the ones who work at kind of company.

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Overview

The people who like and comment on a LinkedIn post are the ones who care about its topic: your audience on your own posts, a competitor's audience on theirs. LinkedIn shows you their names. It does not let you take the list with you.

Why it's hard

LinkedIn has no export for a post's likers or commenters, and its data archive only holds what you did yourself. The usual tools each take something: PhantomBuster runs on its servers with your session cookie, Chrome extensions export one open post at a time, and the Apify actors read LinkedIn without an account and bill per thousand reactions. None of them sits where you already ask questions: in your AI assistant.

How Reduck does it

Reduck reads the post in your own Chrome, where you are already signed in to LinkedIn. get_post_reactors opens the reactions list and returns each person with their name, headline, connection degree and profile link. get_post_comments returns the comments with their authors and text. Your agent filters the list ("only founders", "only people at SaaS companies"), opens the profiles that matter with get_profile, and writes the CSV.

Tools

Script What it does Takes
get_post_reactors Who reacted to a post: name, headline, degree, profile link, and the total count; 200 by default, more on request the post url, how many
get_post_comments The comments: author, headline, profile link, text, age, reactions, loaded replies the post url, sort, how many
get_profile A person's full profile: headline, about, experience, education a public id

The full list of LinkedIn scripts is in the catalogue.

Connect it

  1. Install the Reduck extension in Chrome and stay signed in to LinkedIn there.
  2. Add Reduck to your client: Claude Code, Claude Desktop, ChatGPT or any other MCP client.
  3. Ask: "Export everyone who liked or commented on this LinkedIn post to a CSV with their name, headline and profile link: ."

Ways to export LinkedIn post likers and commenters

By hand Chrome extensions PhantomBuster Apify actors Reduck
Runs In your browser In your browser On PhantomBuster's servers On Apify's servers In your own Chrome
LinkedIn account Yours Yours Your session cookie None Yours
Reaction type Yes Some Not documented Some No
Called from your AI agent No No No Through Apify's MCP Yes

Who it's for

  • Founders and sales teams who want to know who engaged with a post in their market
  • Creators who want the list of people who reacted to their own posts
  • Marketers comparing who engages with a competitor's posts

FAQ

No. LinkedIn shows the list of people who reacted and the comments under the post, but has no export button. Its 'Download your data' archive holds your own reactions and comments, not the people who reacted to your posts. So a list of likers in a sheet means copying names one by one, or a tool that reads the list for you.
Yes. get_post_reactors returns each person's profile link as LinkedIn links it from the reactions list, either the vanity form (/in/janedoe) or the member-id form (/in/ACoAA…); both open the profile. With each one comes the name, the headline, the connection degree and whether it is a person or a company page. Tested on 2026-10-13 on a post with 2,325 reactions: asked for 600, it returned 600 different people, each with a headline and an /in/ link.
No. get_post_reactors gives who reacted and the post's total reaction count, not whether each person chose Like, Celebrate or Insightful. If the reaction type matters to you, some Apify actors return it.
get_post_comments reads the top-level comments with each author's name, headline and profile link, the text, its age and its reactions, plus the replies LinkedIn has loaded under each one. Sort by 'recent' to reach every top-level comment: LinkedIn's default 'relevant' order hides low-engagement comments. Older replies behind 'See previous replies' are flagged with hasMoreReplies, not loaded.
PhantomBuster's Post Likers Export and Post Commenters Export run from PhantomBuster's servers with your LinkedIn session cookie. Chrome extensions export from the open post, one post at a time. Apify actors read posts without a LinkedIn account and bill per 1,000 reactions. Reduck reads the post in your own signed-in Chrome, when your agent asks, so the same agent can export the list, open the profiles that matter and write the CSV in one conversation.
LinkedIn's User Agreement prohibits scraping, and no tool can promise that LinkedIn will never act on an account. Reduck does not run a crawler: each script runs only when you or your agent asks, in your own Chrome. A list of people with names and headlines is personal data under GDPR: if you use it for outreach, you need a lawful basis and a way for people to object.
Yes. Reduck connects to ChatGPT, Claude, Claude Code, Codex, Cursor and any other MCP client. You ask in plain words, and the agent picks the LinkedIn scripts it needs.

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