LinkedIn Comments Scraper

LinkedIn comments scraper: paste post links and get one row per comment, with the comment's text, time and reactions, the commenter's name, headline and profile link, and the post it answers.

You give it LinkedIn post links, post URNs or post ids. You get the comments on each post as rows, in the order LinkedIn shows them to someone who is not signed in, each with the post's author, date, likes and comment count beside it.

It reads public posts only. A post LinkedIn does not serve to the run comes back as a free row saying so, and you pay only for comments that come back.

Input	LinkedIn post links (linkedin.com/posts/... or .../feed/update/urn:li:activity:...), post URNs or post ids
Output	One row per comment: text, time, reactions, pictures, commenter name, headline and profile link, and the post's author, date, likes and comment count; commenter profiles on request
Ceiling	1,000 posts per run
Account needed	None from you
Price	$0.0105 per 1,000 comments, the same rate on every plan. The free plan's $5 a month covers about 476,000

Using an AI agent?
Actor	dami_studio/linkedin-post-comments-scraper
Set one field	postUrls, labelled "Post links" in the Console
Cap the bill	maxTotalChargeUsd on the run, for example 0.10: it never charges past that
MCP, one link	https://mcp.apify.com/?tools=fetch-actor-details,dami_studio/linkedin-post-comments-scraper
How often	Daily, to follow the discussion on a set of posts

🔍 What LinkedIn Post Comments Scraper does

It opens each post's public page and turns every comment shown there into a row: what was said, when, how many reactions it got, and who said it. The commenter's headline comes along when LinkedIn prints it under the name, and so does any picture posted in the comment.

Each row also carries the post itself: its author, text, date, likes and total comment count, so one export answers both "who commented" and "on what".

Two settings narrow or widen it:

• Comments posted within keeps only recent comments, from the last 24 hours up to the last year, or from a date you choose.
• Add commenter profiles reads each commenter's public LinkedIn profile too: headline, location, followers, about, current company, experience, education and skills. Paid per profile that comes back.

📋 What data you get from each LinkedIn comment

What you get	Field
The comment	commentId, commentUrn, commentUrl, text, imageUrls, position
When	postedAt, postedAgo
Reactions	reactions
Who wrote it	authorName, authorHeadline, authorUrl, authorPublicId, authorType, authorPictureUrl, authorIsPostAuthor
The post it answers	postUrl, postUrn, postActivityId, postAuthorName, postAuthorUrl, postText, postPublishedAt, postLikes, postCommentsCount, postMediaType
Commenter profile (paid add-on)	commenterProfile (headline, location, followers, connections, about, currentCompany, experience, education, skills and more)
Where it came from	inputUrl, scrapedAt

▶️ How to scrape LinkedIn comments

1. Open LinkedIn Post Comments Scraper and click Try for free.
2. Paste post links into Post links, one per line. A post's link is in its "Copy link to post" menu.
3. Set a window under Comments posted within if you only want recent comments.
4. Turn on Add commenter profiles if you need them, then click Start.
5. Download the rows as JSON, CSV or Excel, or read them from the API.

Leave the list empty and you get one free sample row showing the shape of the output, with nothing read.

💰 How much does it cost to scrape LinkedIn comments?

$0.0105 per 1,000 comments, which is $0.0000105 each, the same rate on every plan. On the free plan, the $5 Apify gives you each month covers about 476,000 comments.

Commenter profiles cost $1.40 per 1,000 profiles, charged once per commenter in a run, and only when the profile comes back.

Free rows are never charged: a post that was not served, a post with no comment in your date window, an entry that is not a post link, the sample row, and the row that says the run stopped at your time or cost limit.

📥 What you give it

{
  "postUrls": ["https://www.linkedin.com/posts/williamhgates_world-bank-says-small-ai-could-transform-activity-7522801130767224832-2eZH"],
  "postedLimit": "any",
  "includeCommenterProfiles": false
}

Field	Default	What it is
postUrls	none, the form starts with one example	Up to 1,000 post links, post URNs (urn:li:activity:..., urn:li:ugcPost:...) or post ids. A profile, company or article link is refused with a free row.
maxCommentsPerPost	1000	Stops each post at this many comments.
postedLimit	any	any, 24h, week, month, 3months, 6months or year.
postedAfter	none	A day as YYYY-MM-DD. When set, it replaces postedLimit. Any other format is refused before anything runs.
includeCommenterProfiles	false	Reads each commenter's public profile. Paid per profile that comes back.

📤 What you get back

A real row from a run on 7 November 2026. The post text is cut short, and the commenter's name is shortened and their links left out here:

{
  "ok": true,
  "recordType": "comment",
  "postUrl": "https://www.linkedin.com/posts/rippling_what-do-cursor-clay-runway-decagon-and-activity-7361793045501018112-At0M",
  "postActivityId": "7361793045501018112",
  "position": 1,
  "commentId": "7361849030915600384",
  "commentUrl": "https://www.linkedin.com/feed/update/urn:li:ugcPost:7361792876822896641?commentUrn=urn%3Ali%3Acomment%3A%28ugcPost%3A7361792876822896641%2C7361849030915600384%29",
  "text": "🔥 Clicklease is proud to be amongst the cutting edge companies partnering with Rippling.",
  "postedAt": "2025-08-14T19:59:45.512Z",
  "postedAgo": "1y",
  "reactions": 9,
  "imageUrls": [],
  "authorName": "L. O.",
  "authorType": "person",
  "authorHeadline": null,
  "authorIsPostAuthor": false,
  "postAuthorName": "Rippling",
  "postAuthorUrl": "https://www.linkedin.com/company/rippling",
  "postText": "What do Cursor, Clay, Runway, Decagon and most of the Forbes AI Top 50 have in common?…",
  "postPublishedAt": "2025-08-14T16:17:17.518Z",
  "postLikes": 1244,
  "postCommentsCount": 23,
  "postMediaType": "video",
  "scrapedAt": "2026-11-07T22:22:06.234Z"
}

Field	Read it like this
postedAt	The exact time the comment was made. postedAgo is LinkedIn's own "5d", "1y"
position	Where the comment sits on the post's page, from 1
authorHeadline	The line LinkedIn prints under the commenter's name; empty when it prints none
authorIsPostAuthor	True when the post's own author wrote the comment
postCommentsCount, postLikes, reactions	As counted when the run read them
commentUrl	Opens the post at that comment
Picture links	LinkedIn's own links. They stop working after a while, so save the file if you need it

🧾 Reading the output

Every real row has ok: true and recordType: "comment". Rows with ok: false are free notes, one per post that gave no comments, with errorCode and error saying why:

errorCode	What happened
NOT_SERVED	The post was not served this run. Re-run it later. A deleted or private post ends here too
NOT_FOUND	No public post at this link: deleted, or not shown publicly
NO_RESULTS	The post shows no comment, or none in your date window
BAD_INPUT	The entry is not a post link, URN or id, or the date is not YYYY-MM-DD
TIME_LIMIT	The run reached its time limit; notRead lists the posts it did not get to
COST_LIMIT	The run reached the maximum cost you set; notRead lists the rest

An empty run returns one sample row with _sample: true. To keep only real comments, filter on ok being true. The Comments with their post view puts each comment beside its post, and the Notes view lists the free rows.

💡 What people use it for

• Founders and marketers checking who reacts to their own posts and to other companies' launch posts in their market, and what they say.
• Sales teams finding people who comment on a topic they sell into, then reading their headline before reaching out.
• Community and social teams following the discussion under a campaign post day by day.
• Researchers collecting public reactions to a policy, product or event announced on LinkedIn.

A simple chain: take the post links a company publishes from LinkedIn Company Posts Scraper, run them here with Comments posted within set to week, then sort by reactions to see which comments drew the most agreement.

🚧 What it does not do

• No list of who liked or reacted to a post.
• No e-mail addresses or phone numbers.
• No LinkedIn articles: use the post that shares the article.
• Nothing from inside a LinkedIn account: no messages, no private posts, nothing only signed-in members see.
• It is not an official LinkedIn tool. Dami's Studio is independent and is not affiliated with or endorsed by LinkedIn, or by any other company named on this page.

🧭 Which LinkedIn scraper do you need?

If you want	Use
The comments on posts you already have	This one
The posts a company page publishes	LinkedIn Company Posts Scraper
A company's size, industry and headquarters	LinkedIn Companies Scraper
Job listings	LinkedIn Jobs Scraper

❓ Questions people ask

Do I need a LinkedIn account to scrape comments?

No. You don't need a LinkedIn account, a cookie or a login. The actor reads the public post pages LinkedIn shows to anyone who opens the link.

Why do the reaction counts differ from what I see on LinkedIn?

They are counted at the moment the run reads the post, and they keep moving. Open the post in a private browser window to compare with what a visitor sees.

Can I call it from code or an AI assistant?

Yes. The API tab has ready-made calls, and AI assistants can use it through Apify's MCP server at https://mcp.apify.com/?tools=fetch-actor-details,dami_studio/linkedin-post-comments-scraper. In Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("dami_studio/linkedin-post-comments-scraper").call(
    run_input={"postUrls": ["urn:li:activity:7522801130767224832"], "postedLimit": "month"},
    max_total_charge_usd=0.05,
)
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    if row.get("ok") is False:
        continue
    print(row["postedAt"], row["reactions"], row["authorName"], row["text"][:80])

Is scraping LinkedIn legal?

The actor reads public posts the way a signed-out visitor sees them, with no account and nothing private. Comments carry personal data, so GDPR and similar laws apply to what you keep and how you use it: keep only what you need, and mind the rules on contacting people. LinkedIn's own terms still apply to what you do with the data. Apify has a good write-up on the legality of web scraping. We are not lawyers, and this is not legal advice.

🆘 If something breaks

Open an issue on the actor's Issues tab. Include the run ID and the post link that went wrong, and we will look at it.