LinkedIn Post Comments & Replies Scraper

A LinkedIn comments scraper that extracts every comment on a LinkedIn post: commenter name, headline, profile URL, comment text, a per-comment reaction breakdown, timestamps, and reply counts. Optionally fetch the nested replies under each comment too. Paste a post URL and the Actor auto-paginates through the full public comment thread. No LinkedIn account, login, or cookies required.

Batch up to 1,000 posts in a single run, opt into nested replies, or use metadata-only mode to pre-filter posts by comment count before you pay. You only pay for what is extracted.

💡 More LinkedIn tools by Atomus: https://apify.com/atomus

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What does this LinkedIn Comments Scraper do?

Paste one or more LinkedIn post URLs and it returns one structured JSON record per comment, with optional nested replies, ready for sentiment analysis, lead discovery, or an AI agent.

Feature	Description
🔄 Auto-pagination	One run extracts every top-level comment on the post. No manual page management.
💬 Nested replies (opt-in)	Turn on includeReplies to also fetch the replies under each comment, nested in the output. Off by default because replies add API calls (and cost).
📦 Batch processing	Scrape up to 1,000 posts in a single run.
📊 Reaction breakdown	Per-comment engagement: total reactions plus a breakdown by type (like, appreciation, empathy, interest, praise).
🔢 Metadata-only mode	Just need the comment count per post? metadataOnly returns the totals without scraping the comments, so you can pre-filter a large list cheaply.
📌 Pinned & edited flags	Know which comments are pinned or edited.
✍️ Author detection	Identifies when the post author replies to a comment.
🔀 Sorting options	Sort by most relevant or most recent.
🔗 All URL formats	Paste any LinkedIn post link, even with tracking parameters.
🔐 No cookies needed	No risk of account restrictions or bans.

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How do I scrape comments from a LinkedIn post?

1. Open the Actor and paste one or more LinkedIn post URLs (or raw activity IDs) into postUrls.
2. (Optional) Turn on includeReplies to also pull the nested replies, set sortBy to date for newest-first, or cap with maxComments.
3. Click Start. The Actor auto-paginates each post and pushes one record per comment (and reply) to the dataset.
4. Read the results. Each item is a structured comment; a free summary item per post tells you how many comments and replies were extracted and the estimated cost.

No login, no browser session, no cookies, just post URLs in and structured comment data out.

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Input

Basic Usage

Just paste one or more LinkedIn post URLs:

{
  "postUrls": [
    "https://www.linkedin.com/posts/satyanadella_no-one-becomes-a-clinician-to-do-paperwork-activity-7302346926123798528-jitu"
  ]
}

All Input Parameters

Parameter	Type	Required	Default	Description
postUrls	string[]	✅ Yes	(none)	LinkedIn post URLs or activity IDs (up to 1,000)
maxComments	integer	No	0	Max top-level comments per post. 0 = unlimited
sortBy	string	No	relevance	Sort by relevance or date (most recent)
includeReplies	boolean	No	false	Also fetch the replies to each comment and nest them in the output. Adds one API call per comment that has replies, so it increases run cost.
maxRepliesPerComment	integer	No	0	Max replies to fetch per comment when includeReplies is on. 0 = all. Ignored when includeReplies is off.
metadataOnly	boolean	No	false	Return only the comment count per post (no comments scraped). Charges 1 comment per post. Ignores the comment and reply options above.

Supported URL Formats

All of these work, just paste whatever you have:

✅ https://www.linkedin.com/posts/satyanadella_activity-7302346926123798528-jitu
✅ https://www.linkedin.com/feed/update/urn:li:activity:7302346926123798528/
✅ https://www.linkedin.com/feed/update/urn:li:share:7302346926123798528/
✅ https://www.linkedin.com/posts/user_slug-activity-123/?utm_source=share&utm_medium=...
✅ 7302346926123798528

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Output

Comment Example

Each top-level comment is one item. The replies array is present only when includeReplies is enabled.

{
  "comment_type": "comment",
  "text": "This is a great point! Healthcare professionals need better tools to focus on what matters most: patient care.",
  "is_pinned": false,
  "is_edited": false,
  "is_author": false,
  "reply_count": 3,
  "posted_at": {
    "timestamp": 1626782941000,
    "date": "2026-03-20T12:49:01.000Z"
  },
  "author": {
    "id": "ACoAAB8v74YB5oqaAg-4F2VRFh9tEt0zXfRsjpE",
    "name": "John Smith",
    "headline": "Healthcare Professional | Digital Health Advocate",
    "linkedinUrl": "https://www.linkedin.com/in/ACoAAB8v74YB...",
    "profile_pic": "https://media.licdn.com/dms/image/v2/..."
  },
  "stats": {
    "total_reactions": 25,
    "reactions": {
      "like": 20,
      "appreciation": 3,
      "empathy": 2
    },
    "replies": 3
  },
  "_metadata": {
    "comment_id": "7302375502034411520",
    "comment_url": "https://www.linkedin.com/feed/update/...",
    "post_url": "https://www.linkedin.com/posts/satyanadella_...",
    "post_id": "urn:li:activity:7302346926123798528",
    "extracted_at": "2026-03-30T12:00:00.000Z"
  }
}

Nested Replies Example (includeReplies: true)

When includeReplies is on, each comment carries a replies array. Every reply has comment_type: "reply" and links back to its parent via _metadata.parent_comment_id / parent_comment_url:

{
  "comment_type": "comment",
  "text": "Completely agree, the tooling gap is real.",
  "reply_count": 2,
  "replies": [
    {
      "comment_type": "reply",
      "text": "Exactly. We saw the same thing in our clinics.",
      "is_author": false,
      "author": {
        "name": "Maria Lopez",
        "headline": "Clinical Operations Lead"
      },
      "_metadata": {
        "comment_id": "7302400000000000001",
        "parent_comment_id": "7302375502034411520",
        "parent_comment_url": "https://www.linkedin.com/feed/update/...",
        "post_url": "https://www.linkedin.com/posts/satyanadella_...",
        "extracted_at": "2026-03-30T12:00:00.000Z"
      }
    }
  ]
}

Metadata-only Example (metadataOnly: true)

One clean item per post, just the counts:

{
  "type": "metadata",
  "post_url": "https://www.linkedin.com/posts/satyanadella_activity-7302346926123798528",
  "total_comments": 1243,
  "total_pages": 125,
  "extracted_at": "2026-03-30T12:00:00.000Z"
}

Run Summary

After each post, the actor pushes a free summary item (no charge) so you can see what was extracted and the estimated cost:

{
  "type": "summary",
  "post_url": "https://www.linkedin.com/posts/satyanadella_...",
  "total_comments_on_post": 1243,
  "comments_extracted": 1243,
  "replies_extracted": 0,
  "include_replies": false,
  "estimated_cost_usd": 5.9664,
  "free_tier_capped": false,
  "extracted_at": "2026-03-30T12:00:00.000Z"
}

Output Fields Reference

Field	Type	Description
comment_type	string	"comment" for a top-level comment, "reply" for a nested reply
text	string	Full text of the comment or reply
is_pinned	boolean	true if the comment is pinned by the post author
is_edited	boolean	true if the comment has been edited
is_author	boolean	true if the commenter is the post author
reply_count	integer	Number of replies to this comment
posted_at.timestamp	number	Unix timestamp in milliseconds
posted_at.date	string	ISO date string
author.id	string	LinkedIn profile URN
author.name	string	Commenter's full name
author.headline	string	Commenter's LinkedIn headline
author.linkedinUrl	string	Direct link to commenter's profile
author.profile_pic	string | null	Profile photo URL or null
stats.total_reactions	integer	Total reactions on this comment
stats.reactions	object	Breakdown by type (like, appreciation, empathy, interest, praise)
stats.replies	integer	Number of replies (same as reply_count)
replies	array	Nested replies, present only on top-level comments when includeReplies is on
_metadata.comment_id	string	Unique comment identifier
_metadata.comment_url	string	Direct link to the comment on LinkedIn
_metadata.parent_comment_id	string	(Replies only) the id of the parent comment
_metadata.parent_comment_url	string	(Replies only) link to the parent comment
_metadata.post_url	string	The post URL you provided as input
_metadata.post_id	string	LinkedIn activity URN of the post
_metadata.extracted_at	string	ISO timestamp of extraction

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How much does it cost to scrape LinkedIn comments?

This Actor uses pay-per-event pricing: $4.80 per 1,000 comments, and the same $4.80 per 1,000 replies when includeReplies is on. You only pay for what is extracted.

Extracted	Cost
100 comments	$0.48
1,000 comments	$4.80
10,000 comments	$48.00

A few things worth knowing:

• Replies are billed separately from comments, at the same flat rate, and only when you enable includeReplies.
• Each post charges a minimum of 1 comment, even if it has zero comments, because the API call to fetch them still happens.
• metadataOnly charges 1 comment per post (just the count, no comments scraped).
• Summary and error items are free (they are not billed).

Free plan limit

Apify free-plan accounts get 20 extracted items (comments + replies) per month so you can validate the output and inspect every field before paying. The cap resets on the 1st of each month, and any paid Apify plan removes it.

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Use it with AI agents and MCP

This Actor is built for AI agents and LLMs via the Apify MCP server. Each comment is a flat, predictable JSON record, ideal for sentiment analysis, summarization, or lead extraction.

Key fields for agents:

• text: the comment content for sentiment analysis or summarization
• author.name + author.headline: who said it and their professional context
• author.linkedinUrl: the commenter's profile for lead follow-up
• stats.total_reactions: how much engagement the comment received
• is_author: identifies replies from the post author
• reply_count / replies: conversation depth and the nested reply thread when includeReplies is on

Example agent prompts:

"Get all comments from this LinkedIn post and summarize the main themes and sentiment."

"Find the most engaged comments (highest reaction count) on this post and extract the commenters' profiles."

"Analyze comments on competitor posts to identify common customer pain points."

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Use Cases

• 💬 Sentiment analysis: understand how people feel about a topic or announcement.
• 🔎 Lead discovery: find engaged professionals commenting on industry content.
• 📊 Content research: analyze what questions and discussions posts generate.
• 🏆 Competitor intelligence: monitor comments on competitor posts for insights.
• 👥 Community management: track comment engagement and identify active members.
• 📈 Engagement benchmarking: compare comment volume and quality across posts (use metadataOnly for fast, cheap counts).

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LinkedIn Comments Scraper vs cookie-based tools vs the official LinkedIn API

	This LinkedIn Comments Scraper	Cookie-based scrapers	Official LinkedIn API
LinkedIn account / cookies	Not needed	Your logged-in cookies required	OAuth app + LinkedIn approval
Account / ban risk	None (no account used)	High (your account can be restricted)	None
Setup	Paste a post URL	Extract and paste your session cookie	Partner application + review
Nested replies	Yes (opt-in)	Varies	No public comment endpoint
Reaction breakdown	Yes, per comment	Rarely	No
Bulk	Up to 1,000 posts per run	Rate-limited by your account	No public comment endpoint
Pricing	$4.80 per 1,000 comments	Subscription + your account	Not available publicly

LinkedIn exposes roughly the first ~1,200 comments per post publicly; for the vast majority of posts that is the entire thread, and the cookieless approach returns it with zero account risk.

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Other LinkedIn scrapers by Atomus

Actor	What it does
LinkedIn Post Reactions Scraper Pro	Extract every reactor on a LinkedIn post (name, headline, profile URL, reaction type).
LinkedIn Posts Scraper	Scrape posts, text, media, and engagement counts from any LinkedIn profile or company.
LinkedIn Profile Scraper	Enrich LinkedIn profile URLs into full structured profiles: experience, education, skills, and more.

See all tools at apify.com/atomus.

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FAQ

What is a LinkedIn comments scraper?

A LinkedIn comments scraper extracts the comments on a public LinkedIn post into structured data, commenter name, headline, profile URL, comment text, reaction breakdown, timestamps, and reply counts, without a LinkedIn account, login, or cookies. This Actor takes a post URL and returns one clean JSON record per comment, with optional nested replies.

How do I scrape comments from a LinkedIn post without an account?

Paste the post URL (or up to 1,000 URLs) into postUrls and run the Actor. It auto-paginates the public comment thread through a cookieless data source, so you never connect a LinkedIn account, paste a session cookie, or risk a ban.

Can I get the replies under each comment?

Yes. Turn on includeReplies and each comment carries a nested replies array, with every reply linked to its parent. Replies are off by default because they add API calls (and cost); use maxRepliesPerComment to cap how many you fetch per comment.

How much does it cost?

$4.80 per 1,000 comments, and the same $4.80 per 1,000 replies when includeReplies is on. You pay only for what's extracted; summary and error items are free. Free Apify plans include 20 extracted items per month so you can test before paying.

What is metadata-only mode for?

metadataOnly: true returns just the comment count per post (no comments scraped), charging 1 comment per post. Use it to pre-filter a large list of posts, find the ones with the most discussion, then scrape only those.

Is there an official LinkedIn API for post comments?

LinkedIn's official APIs are partner-gated and do not expose a public endpoint for reading arbitrary post comments. For extracting comments from public posts, a cookieless scraper like this one is the practical path.

Is it legal to scrape LinkedIn comments?

This Actor reads publicly available comment data through a third-party data source. You are responsible for using the output in line with applicable laws (GDPR/CCPA), LinkedIn's terms, and your own compliance requirements. It is an independent tool, not affiliated with LinkedIn.

How many comments can it extract per post?

LinkedIn exposes roughly the first ~1,200 comments per post publicly; for the vast majority of posts that is the full thread. Beyond that, the remaining comments are not available without a logged-in session, which this cookieless Actor intentionally does not use.

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⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn® is a registered trademark of LinkedIn Corporation. All trademarks are property of their respective owners.