LinkedIn Post Comments Scraper — No Login, No Cookies, Pay Per Result

Extract every public comment from any LinkedIn post — commenter names, profile URLs, headlines, comment text, timestamps, reaction counts, and reactions broken down by emotion type. Clean structured JSON. No LinkedIn login required. No cookies. No browser session. No account ban risk.

The fastest, cheapest, safest way to scrape LinkedIn post comments at scale.

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Why this is the best LinkedIn Comments Scraper on Apify

Most LinkedIn comment scrapers on the market fail on at least one of these. This one nails every column.

	Other LinkedIn scrapers	This actor
LinkedIn login required	❌ Yes — paste your li_at cookie	✅ No login. No cookie.
Account ban risk	🔴 High — your account, your problem	✅ Zero — we never touch your account
Cookie expiry headaches	❌ Re-paste cookie every few weeks	✅ Set once, runs forever
Pricing model	💸 Flat fee or per-run	✅ Pay-per-result, $1 per 1,000
Empty/private post handling	❌ Crashes mid-batch	✅ Clean diagnostic, keeps running
Reactions breakdown	❌ Count only	✅ Per-emotion: Like, Empathy, Praise, Insightful, Funny, Curious, Support
URL formats accepted	❌ One specific format only	✅ Feed URLs, share URLs, raw activity URNs

What you get — every comment, every detail

For every public comment on any LinkedIn post, this actor returns:

• Commenter identity — full name, public profile URL, member ID, current headline, profile picture URL, public username
• Comment content — full text (Unicode-safe, emoji-safe), edit flag, ISO timestamp + Unix milliseconds
• Engagement metrics — total reaction count, reply count, repost count
• Reaction breakdown — count per LinkedIn reaction type (Like, Empathy, Praise, Insightful, Funny, Curious, Support)
• Comment URN + permalink — joinable across runs, links straight to the comment in context

One record per comment. Flat JSON. Ready to drop into Airtable, Google Sheets, HubSpot, Salesforce, Pipedrive, Zapier, Make, n8n, or any webhook.

Top use cases

1. Warm B2B lead harvesting

Every commenter on a post in your problem space has self-identified as engaged with the topic. Pull the thread, dedupe by company, push profile URLs into your CRM. Reply rates from topic-warmed outreach beat cold lists 3-5x.

2. Influencer & creator audit

Before paying a creator for a sponsored post, audit who's actually engaging with their content. Real audience or paid engagement pods? The commenter list — their headlines, employers, verification status — tells you in 30 seconds whether the price is justified.

3. Competitive launch intelligence

When a competitor announces a launch, the comment thread is a free real-time focus group. Who congratulated them (loyal customer)? Who pushed back (potential switcher)? Who tagged a colleague (active buying-committee signal)? Set up a recurring run and you've got an ongoing competitive radar.

4. Voice-of-customer aggregation

Point this at your own post-launch announcement (or a competitor's). Sort by reaction count to surface the comments people quietly agreed with — that's your roadmap signal, validated by hundreds of public votes.

5. Conference & community ABM

Comment threads on big industry posts are de-facto attendee lists for the conversation. Pull the thread, dedupe by company, and you have a target-account list pre-warmed by topic interest — perfect for ABM campaigns and event outreach.

6. Sales-trigger automation

Pipe new commenters from target accounts into Zapier or Make. Your AE gets a Slack ping the moment a decision-maker comments on a relevant industry post. First-mover outreach wins deals.

Quick start (3 steps, 30 seconds)

Step 1 — Get the post URL

Open the post in your browser, click the "X minutes ago" timestamp under the author's name, copy the URL. Both formats work:

• https://www.linkedin.com/posts/<slug>-activity-7427761938388123648-AbCd
• https://www.linkedin.com/feed/update/urn:li:activity:7427761938388123648/

Step 2 — Run the actor

1. Click the green Start button
2. Paste one or more URLs into Post URLs (one per line)
3. Set Max Comments Per Post to control your budget per post (default 500)
4. Click Start

Step 3 — Get your data

Results stream into the Dataset tab as the run progresses. Click Export for JSON, CSV, or Excel — or push directly to Zapier, Make, Google Sheets, Airtable, HubSpot, Salesforce, or any webhook via Apify's native integrations.

Input

Field	Type	Default	Description
postUrls	array of strings	[]	LinkedIn post URLs. Accepts feed URLs and shareable post URLs. Multiple URLs in one run are processed sequentially.
activityUrns	array of strings	[]	Numeric activity URNs (e.g. "7427761938388123648"). Use this when you already have IDs and want to skip URL parsing.
maxCommentsPerPost	integer	500	Hard cap on comments returned per post. Lower values run faster and cost less.
proxyConfiguration	object	Apify residential	Proxy settings (defaults are correct for most users).

At least one of postUrls or activityUrns is required.

Example input

{
  "postUrls": [
    "https://www.linkedin.com/posts/example-author_topic-keyword-activity-7400000000000000000-XyZw"
  ],
  "maxCommentsPerPost": 250
}

Output

Each comment is a single dataset record:

{
  "type": "comment",
  "commentUrn": "urn:li:comment:(activity:7400000000000000000,7400000000000000123)",
  "commenterUrn": "urn:li:member:123456789",
  "fullName": "Jane Doe",
  "headline": "VP of Marketing at Example Corp",
  "profileUrl": "https://www.linkedin.com/in/janedoe",
  "publicIdentifier": "janedoe",
  "profilePictureUrl": "https://media.licdn.com/dms/image/...",
  "commentText": "Great insights! We've been seeing the same trend in our quarterly data — would love to compare notes.",
  "edited": false,
  "numLikes": 12,
  "numReplies": 2,
  "numReposts": 0,
  "reactions": [
    { "reactionType": "LIKE", "reactionCount": 9 },
    { "reactionType": "PRAISE", "reactionCount": 2 },
    { "reactionType": "INSIGHTFUL", "reactionCount": 1 }
  ],
  "permalink": "https://www.linkedin.com/feed/update/urn:li:activity:7400000000000000000?commentUrn=urn%3Ali%3Acomment%3A...",
  "createdAt": "2026-04-15T14:22:30.000000+00:00",
  "createdAtMs": 1776264150000,
  "isReply": false,
  "parentCommentUrn": "",
  "activityUrn": "urn:li:activity:7400000000000000000",
  "postUrl": "https://www.linkedin.com/posts/example-author_topic-keyword-activity-7400000000000000000-XyZw",
  "scrapedAt": "2026-05-10T11:00:00.000000+00:00"
}

Full field reference

Field	Type	Description
commentUrn	string	Unique LinkedIn comment URN — joinable across datasets and runs
commenterUrn	string	LinkedIn member URN of the commenter (urn:li:member:NNN)
fullName	string	Display name
headline	string	Public LinkedIn headline at time of scrape
profileUrl	string	Public profile URL — pipe into LinkedIn Profile Scraper for enrichment
publicIdentifier	string	Username segment from linkedin.com/in/<id>
profilePictureUrl	string	Profile photo CDN URL
commentText	string	Full comment text — Unicode and emoji safe
edited	boolean	True if the comment was edited after posting
numLikes	integer	Total reactions on the comment
numReplies	integer	Replies to this comment
numReposts	integer	Times this comment was reposted
reactions	array	Per-type breakdown: [{reactionType, reactionCount}]
permalink	string	Direct link to the comment in context
createdAt	string (ISO 8601)	When the comment was posted
createdAtMs	integer	Same timestamp in Unix milliseconds
isReply	boolean	Always false in v1.0 (top-level comments only)
activityUrn	string	Parent post URN — joinable with reaction and post-info datasets
postUrl	string	The input URL you provided
scrapedAt	string (ISO 8601)	When the record was collected

A final summary record is also pushed at the end of every run with totalComments, postsSuccessful, postsFailed, postsTotal.

Pricing — pay only for results

$1.00 per 1,000 comments. Pay-per-result.

• ✅ No subscription
• ✅ No base fee
• ✅ No charge for failed runs
• ✅ No charge for empty / private / deleted posts (you get a clean diagnostic record)
• ✅ Apify's free tier ($5/month platform credit) gets you ~5,000 free comments to start

The cheapest LinkedIn comment scraper on Apify Store, period. Most competitors charge $5-15 per 1,000 results, often with a base fee on top.

Combine with other LinkedIn actors

Build a complete LinkedIn intelligence pipeline by chaining this with sibling scrapers:

• Pipe profileUrl into the LinkedIn Profile Scraper to enrich every commenter with full firmographic data
• Pipe activityUrn into the LinkedIn Post Reactions Scraper to combine reactions and comments for the same post
• Pipe profileUrl into the LinkedIn Profile Comments Scraper to see what else those commenters are saying across LinkedIn

FAQ

Do I need a LinkedIn account?

No. This is the killer feature. The actor does not log in to LinkedIn, does not use your session, does not touch your account. It reads the public comment thread that anyone can view without signing in.

Will my LinkedIn account get banned?

No — because we never use it. Cookie-based scrapers risk your account every run. This actor doesn't.

How fast is it?

1-10 seconds per post depending on comment volume. Posts with 500+ comments paginate automatically. You can queue 50+ posts in one run.

What if the post is private, deleted, or members-only?

The actor returns a clean diagnostic record for that URL and continues with the next post — it never crashes mid-batch.

Can I get replies (nested comments under each comment)?

Not in v1.0. Top-level comments only. Reply scraping is on the roadmap for v1.1 — follow the actor for updates.

Can I scrape Pulse articles?

Not yet. LinkedIn Pulse articles use a different content type. The actor returns a clear "not supported" diagnostic if you pass a Pulse URL — no charge incurred. Pass a regular feed post URL instead.

Can I integrate with Zapier / Make / n8n / HubSpot?

Yes — Apify integrates natively with all of them, plus Salesforce, Airtable, Google Sheets, and any webhook-compatible tool. Trigger runs on a schedule, pipe new comments into your CRM as they arrive.

Can I filter by keyword inside the comment text?

The actor returns every comment in chronological order. Post-filter by commentText in your destination (Google Sheets formulas, Airtable filters, SQL WHERE) — that keeps the actor simple and gives you a reusable raw dataset.

Does this work in countries outside the US / EU?

Yes. The actor uses Apify's residential proxy network and works with public LinkedIn posts from anywhere LinkedIn is accessible.

Can AI agents pay for and run this actor?

Yes — Agent Payments (x402 / USDC) are enabled. AI agents using the Anthropic Computer Use API or compatible frameworks can pay per run in stablecoin without a human in the loop.

Legal & compliance

• Extracts publicly available data only — no logins, no access-control bypass, no private content
• You are responsible for complying with LinkedIn's Terms of Service, GDPR (EU), CCPA (California), and other applicable laws
• The output may include names, public profile URLs, public headlines, and comment text. Under GDPR, a lawful basis (legitimate interest, consent) may be required before outbound use of this data
• This actor is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation or Microsoft Corporation. "LinkedIn" is a registered trademark of LinkedIn Corporation

Changelog

v1.0.0 — 2026-05-10

• Initial release
• Cookieless architecture — zero account-ban risk
• Top-level comments with full commenter context, reactions breakdown by type, and edit/repost metadata
• Supports linkedin.com/feed/update/... and linkedin.com/posts/... URL formats
• Clean diagnostic records for empty posts, Pulse articles, and unsupported URL formats
• Native Apify integrations + Agent Payments (x402 / USDC)

Support

Questions, feature requests, or bug reports? Open an issue on the actor's Issues tab. We respond within 24 hours.

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