LinkedIn Post Comments Scraper — No Cookies, No Login

Paste LinkedIn post links and get everyone who commented, merged into one row per person. Someone who commented on four of your posts is one lead with four comments. Each post also gets LinkedIn's own reaction, comment and repost counts.

No login, no cookies, no LinkedIn account needed.

You provide	You get
Post URLs	Commenters: name, headline, profile link, comment text, time, comment link
enrichProfiles on	Current company, location, followers, job title and company industry per person
Every run, free	Each post's counts: reactions, comments, reposts, top reaction types, author, text and publish time

Why Use This Scraper?

• No cookies and no login. Your LinkedIn account is never involved, so there is nothing to export and nothing to put at risk.
• One row per person across all your posts. Comment count, number of posts commented on, and every comment with its post.
• Enrichment from public data. Company, location, title and industry, looked up per person.
• Post counts for free. Reactions, comments and reposts as LinkedIn shows them, for every post, even posts left uncollected by a limit.
• Any post link form. activity and ugcPost links, from company pages or personal profiles. The same post pasted twice is collected once.
• Cost caps that hold. Per-post and per-run limits stop the requests, not only the rows.

Overview

This actor is for people who publish on LinkedIn and want to know who responds: marketing teams measuring a company page, sales teams building lead lists from engaged audiences, agencies reporting on client content, and researchers studying who joins the conversation.

The default output is one row per person, with who they are and every comment the run found from them. A second mode returns one row per comment.

Only comments are collected as people. LinkedIn shows the lists of who reacted and who reposted to logged-in members only, so this actor reports those as counts per post, not as names.

Supported Inputs

Link form	Example
Post link with activity id	https://www.linkedin.com/posts/acme_big-news-activity-7267273010393358336-AbCd
Feed update link	https://www.linkedin.com/feed/update/urn:li:activity:7267273010393358336/
ugcPost link	https://www.linkedin.com/feed/update/urn:li:ugcPost:7267273010393358336/
Bare URN or activity id	urn:li:activity:7267273010393358336

Use Copy link to post from the post's ··· menu.

Not supported: profile links, company page links, search result pages and LinkedIn articles (/pulse/). The actor takes posts, not accounts. To get a company's post links first, use a posts scraper such as LinkedIn Posts Scraper.

Use Cases

Who	What they do with the rows
B2B marketing	See which companies and job titles comment on each post
Sales / SDR teams	Build outreach lists from people who already engaged
Agencies	Report on who responds to client content, not only counts
Recruiters	Find people who comment on hiring and employer-brand posts
Competitor research	See who comments on a competitor's company page
Community managers	Spot repeat commenters across a quarter of posts

How It Works

1. Each link is reduced to its post id.
2. The post's public page is read once for its counts, author and text. Two links to the same post are recognised here and collected once.
3. Comments are read from public data, up to 200 per post.
4. Comments are merged into one row per person, most comments first.
5. With enrichProfiles, each person's public profile and their company's page are looked up, eight at a time.

Input Configuration

Field	Type	Notes
postUrls	string[]	Required. LinkedIn post links, URNs or activity ids.
includeComments	boolean	Default true. Switch off to get only each post's counts, which are free.
enrichProfiles	boolean	Default false. Adds company, location, title and industry fields. Billed per person enriched. Applies to one-row-per-person output.
outputMode	people | comments	Default people. comments returns one row per comment.
maxCommentsPerPost	integer	Stop a post after this many comments. Empty means all (up to 200).
maxItems	integer	Stop the run after this many comments. Empty means no cap.

Example input

Commenters on two posts:

{
  "postUrls": [
    "https://www.linkedin.com/posts/acme_big-news-activity-7267273010393358336-AbCd",
    "https://www.linkedin.com/feed/update/urn:li:activity:7267273010393358337/"
  ]
}

Commenters with company, title and industry, capped at 500 comments:

{
  "postUrls": ["https://www.linkedin.com/posts/acme_big-news-activity-7267273010393358336-AbCd"],
  "enrichProfiles": true,
  "maxItems": 500
}

One row per comment, for sentiment work:

{
  "postUrls": ["https://www.linkedin.com/posts/acme_big-news-activity-7267273010393358336-AbCd"],
  "outputMode": "comments"
}

Post counts only, free:

{
  "postUrls": ["https://www.linkedin.com/posts/acme_big-news-activity-7267273010393358336-AbCd"],
  "includeComments": false
}

Output Overview

In the default mode each row is a person (type: "person"). Identity fields come first, then the comment count and the number of posts they commented on, then the enrichment fields (null unless enrichProfiles is on), then comments, the list of their comments with the post each one belongs to.

A company page that comments gets a row too, with isCompany: true and no first or last name.

In per-comment mode each row is one comment (type: "comment") with the person's fields alongside it and postPublishedAt for the post.

A POSTS record in the key-value store has one entry per post: LinkedIn's own reactionCount, commentCount and repostCount, the topReactionTypes shown on the post, author, text and publishedAt, next to how many comments the run collected. It is read from the public post page and is not billed. Every post gets its counts, including posts left uncollected because a limit was reached. repostCount is null when LinkedIn shows no repost count on the page.

A SUMMARY record holds run totals.

Output Samples

One person row from a live run on a company post, with enrichProfiles on. Identity fields are replaced with placeholders; the shape and the other values are as returned.

{
  "type": "person",
  "fullName": "Jordan Example",
  "firstName": "Jordan",
  "lastName": "Example",
  "headline": "AI Activation Advisor for Owners & Operators | I turn AI hype into operating leverage",
  "profileUrl": "https://www.linkedin.com/in/jordan-example/",
  "publicIdentifier": "jordan-example",
  "isCompany": false,
  "commentCount": 1,
  "postCount": 1,
  "enriched": true,
  "currentTitle": null,
  "currentCompany": "Example Studio",
  "location": "New York, New York, United States",
  "followerCount": 12525,
  "connectionCount": 12017,
  "companyUrl": "https://www.linkedin.com/company/example-studio/",
  "companyIndustry": "Software Development",
  "companyEmployeeCount": 59,
  "companyHeadquarters": "New York, NY, US",
  "companyWebsite": "http://www.example.com",
  "comments": [
    {
      "postUrl": "https://www.linkedin.com/feed/update/urn:li:activity:7513274728854429696/",
      "text": "HR chatbots are the sleeper adoption story. High volume, low tolerance for hallucination, and a built-in feedback loop from employees.",
      "url": "https://www.linkedin.com/feed/update/urn:li:ugcPost:7513271898932371457?commentUrn=…",
      "createdAt": "2026-10-07T13:58:21.489Z"
    }
  ]
}

One POSTS entry from a live run capped at 3 comments (maxItems: 3):

{
  "postUrl": "https://www.linkedin.com/feed/update/urn:li:activity:7513274728854429696/",
  "author": "Microsoft",
  "publishedAt": "2026-10-06T16:31:25.253Z",
  "reactionCount": 342,
  "commentCount": 45,
  "repostCount": null,
  "topReactionTypes": ["LIKE", "EMPATHY", "PRAISE"],
  "commentsCollected": 3
}

currentTitle is null in the person row because the headline is a tagline and does not read "Title at Company". See the FAQ.

Key Output Fields

Who fullName, firstName, lastName, headline, profileUrl, publicIdentifier, isCompany

What they wrote commentCount, postCount, comments[] (postUrl, text, url, createdAt)

Enrichment, person (with enrichProfiles) enriched, currentCompany, currentTitle, location, followerCount, connectionCount

Enrichment, company (with enrichProfiles, when the company page is matched) companyUrl, companyIndustry, companyEmployeeCount, companyHeadquarters, companyWebsite

Per post (POSTS record) reactionCount, commentCount, repostCount, topReactionTypes, author, text, publishedAt, commentsCollected

FAQ

Do I need a LinkedIn account or cookie? No. Everything comes from public data. Nothing asks for or uses your LinkedIn session.

Can I get the people who reacted or reposted? Not from this actor. LinkedIn shows those lists to logged-in members only, and this actor does not log in. You get the reaction and repost counts per post instead.

Why does a post return at most 200 comments? That is the ceiling of the comment source. Posts with more comments return the 200 most relevant.

Why is currentTitle empty for some people? Public profiles carry a headline, not a separate job title. The actor fills currentTitle only when the headline reads "Title at Company" and that company matches the person's current company. A tagline such as "Helping founders scale" is left out rather than passed off as a title. headline is always returned.

Why is companyIndustry empty for some people? The profile gives the company's name, and the industry lives on the company's page. The actor finds that page from the name and accepts it only when the page's own name agrees. Companies with unusual page addresses are not matched, so expect partial coverage on the company fields.

Is a person with no enrichment data billed? No. If the profile lookup returns nothing usable, the person is left with enriched: false and no enrichment event is charged.

What are the post counts, and do they cost anything? Every run reads each post's public page once and saves LinkedIn's own reaction, comment and repost counts in the POSTS record. They are not billed. Switch comments off to get only these.

How fast is it? Comments take a few seconds per post. Enrichment is the slow part: each lookup takes 10–20 seconds and eight run in parallel, so 100 people take a few minutes.

Can it scrape a whole company page? It takes post links. Collect the page's post links first with a posts scraper, then paste them here.

Does it return emails or phone numbers? No.

Pricing

Pay per event, no subscription.

Event	Price
Run start	$0.005
Each comment collected	$0.002
Each person enriched (optional)	$0.003
Post counts	free

1,000 comments cost $2.00. Enriching 400 distinct people adds $1.20. Set maxItems or the run's maximum cost to cap spend; the actor stops making requests when either is reached.

The free plan collects up to 50 comments and enriches up to 10 people per run.

Support

Found a bug or need a field that isn't here? Open a ticket on the Issues tab.

Additional Services

Need the results pushed to a CRM or a sheet, or a scheduled run across a company page's new posts? Get in touch through the Apify Console.

Explore More Scrapers

LinkedIn in this family: Posts, Profiles, Company profiles, Company employees, People search, Email finder. Full list at apify.com/memo23.

🤖 For AI Agents & LLM Apps

Compact reference for agents calling this actor via the Apify MCP server or the Apify API (actor: memo23/linkedin-post-comments-scraper).

Purpose: people who commented on given LinkedIn posts, merged per person, with optional company and title enrichment, plus each post's reaction, comment and repost counts. No login or cookie.

Minimal input:

{ "postUrls": ["https://www.linkedin.com/feed/update/urn:li:activity:7513274728854429696/"], "maxItems": 20 }

With enrichment:

{ "postUrls": ["https://www.linkedin.com/feed/update/urn:li:activity:7513274728854429696/"], "enrichProfiles": true, "maxItems": 20 }

Output: rows with type = person (default) or comment. Person rows: fullName, headline, profileUrl, commentCount, postCount, comments[], and when enriched currentCompany, currentTitle, location, companyIndustry. Per-post counts are in the POSTS key-value record.

Behaviors an agent should know:

• Input is post links only. Profile and company links are rejected.
• Names of people who reacted or reposted are not available; only counts.
• Always set maxItems. Comments cap at 200 per post.
• currentTitle and the company* fields can be null on enriched rows; headline is always present.
• Enrichment adds 10–20 seconds per person (eight in parallel). Keep maxItems small for interactive use.
• Billing: $0.005 start + $0.002 per comment + $0.003 per enriched person. Post counts are free.

⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation, Microsoft Corporation, or any of their subsidiaries. All trademarks mentioned are the property of their respective owners.

All data is read from publicly available sources without logging in to LinkedIn. Users are responsible for ensuring their use complies with LinkedIn's terms of service, applicable data-protection law (including GDPR and CCPA), and any contractual obligations of their own organization.

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