LinkedIn Profile Comments

Give it one or more public LinkedIn profile URLs and get every comment those profiles wrote on other people's posts — full comment text, timestamps, comment engagement, plus the commented-on post with its author and engagement context. No LinkedIn cookies or login credentials.

Cookieless · Fresh data · No LinkedIn login or account risk.

Watch the demo

Video tutorial coming soon.

What you get

Each dataset item is one unique comment an input profile wrote on someone else's post:

• the comment text, LinkedIn comment URL, URN, and the timestamp the profile wrote it
• likes, reply count, and reaction breakdown reported on the comment itself
• commenter name, headline, LinkedIn profile URL, and image URL
• the commented-on post's URL, URN, text, publication time, and share URL
• the post author's name, headline, LinkedIn URL, and image URL
• post likes, comment count, share count, and reaction breakdown
• post repost/edited flags, relative age, mentions, attachments, and shared-post context when available

Output example

{
  "profile_url": "https://www.linkedin.com/in/satyanadella",
  "profile_identifier": "satyanadella",
  "comment_text": "Congratulations to the whole team on this launch!",
  "comment_created_at": "2026-07-12T02:41:07.000Z",
  "comment_url": "https://www.linkedin.com/feed/update/urn:li:activity:7481741318122110976?commentUrn=urn:li:comment:(activity:7481741318122110976,7408723949095772161)",
  "comment_likes": 12,
  "comment_reply_count": 1,
  "comment_reactions": [
    {"reaction_type": "LIKE", "count": 12}
  ],
  "commenter_name": "Satya Nadella",
  "commenter_headline": "Chairman and CEO at Microsoft",
  "commenter_linkedin_url": "https://www.linkedin.com/in/satyanadella",
  "post_url": "https://www.linkedin.com/posts/bradsmi_a250-ugcPost-7481741318122110976-ImDL",
  "post_text": "To coincide with the #A250, Microsoft unveiled an AI experience...",
  "post_created_at": "2026-07-12T00:13:45.784Z",
  "post_author_name": "Brad Smith",
  "post_author_headline": "Vice Chair and President at Microsoft Corporation",
  "post_author_linkedin_url": "https://www.linkedin.com/in/bradsmi",
  "post_likes": 960,
  "post_comments": 84,
  "post_shares": 90,
  "post_reactions": [
    {"reaction_type": "LIKE", "count": 795},
    {"reaction_type": "PRAISE", "count": 41},
    {"reaction_type": "EMPATHY", "count": 87}
  ],
  "post_is_repost": false,
  "post_is_edited": false,
  "mentions": [],
  "attachments": [],
  "input_index": 0,
  "comment_index": 0,
  "fetched_at": "2026-07-13T00:00:00Z"
}

For CSV and spreadsheet exports, scalar fields stay as columns; comment_reactions, post_reactions, mentions, attachments, and shared_post export as compact JSON cells. IDs stay strings to prevent precision loss.

Input

Field	Type	Required	Default	Description
profile_urls	array of strings	Yes	—	Add 1–1,000 public LinkedIn profile URLs in linkedin.com/in/… format. Regional LinkedIn hosts are accepted. Duplicates are normalized and removed while preserving first-seen order.
max_comments_per_profile	integer	No	100	Maximum deduplicated comment records saved per profile. Range: 0–1,000. Use 0 to fetch all available comments, subject to a 100-page safety cap per profile.
commented_within	string	No	any	Only save comments written within 24h, week, month, 3months, 6months, year, or use any to keep all available comments.

Example:

{
  "profile_urls": [
    "https://www.linkedin.com/in/satyanadella"
  ],
  "max_comments_per_profile": 100,
  "commented_within": "any"
}

Accepted URLs are normalized to https://www.linkedin.com/in/... — tracking parameters, fragments, and trailing slashes are removed, and duplicates are dropped while keeping first-seen order. Company pages, post URLs, search pages, Sales Navigator links, and bare profile identifiers without the full URL are rejected before any extraction request. If one URL is malformed, the run stops before processing and identifies the failing input position.

How to scrape comments written by a LinkedIn profile

1. Copy one or more public LinkedIn profile URLs (up to 1,000 per run).
2. Paste them into LinkedIn Profile URLs.
3. Set Maximum comments per profile, or keep the default of 100.
4. Optionally limit results with Comment age.
5. Click Start.
6. Open the dataset to inspect or export the comment records as JSON, CSV, Excel, XML, or HTML.

No LinkedIn account, session cookie, browser extension, or proxy configuration is requested in the input form.

Use cases

• Understand what topics and authors a prospect or industry voice engages with in discussions.
• Analyze a profile's commenting behavior before sales or recruiting outreach.
• Find the posts where specific people in your market are actively participating.
• Build social-listening, influencer-research, or content-engagement datasets.
• Feed structured comment activity into AI, BI, CRM, spreadsheet, or automation workflows.

Pricing

$2 per 1,000 comments ($0.002 per comment). You are billed per unique comment record saved to the dataset — not per profile or per page.

Integrations

• API — start runs and fetch results from Python, JavaScript, or any HTTP client
• Scheduling — run profile research daily, weekly, or on a custom cadence
• Webhooks — trigger another system when a run succeeds or fails
• Make and Zapier — route records into CRMs, spreadsheets, alerts, or enrichment workflows
• Google Sheets and Excel — export flat columns with nested context retained as JSON cells
• MCP — expose the actor as a structured tool to compatible AI agents

Other LinkedIn Actors by data-slayer

Actor	What it does
LinkedIn Profile Scraper	Full profile data from any LinkedIn profile URL
LinkedIn Profile Posts Scraper	Recent posts from a profile, with engagement metrics
LinkedIn Company Scraper	Full company profile data
LinkedIn Company Posts Scraper	Recent posts from any company page
LinkedIn Post Performance Scraper	Likes, comments, shares and reaction breakdown for any post
LinkedIn Post Engagers Scraper	Everyone who engaged with a post — commenters, reactors, reposters
LinkedIn Post Comments Scraper	Every comment on a post, with commenter profiles
LinkedIn Post Reactions Scraper	Everyone who reacted to a post, with reactor profiles
LinkedIn Post Reposts Scraper	Everyone who reposted or shared a post
LinkedIn Profile Engagers Scraper	Everyone who engaged across a profile's recent posts, ranked by engagement
LinkedIn Profile Reactions Scraper	Reactions a profile left on other people's posts
LinkedIn People Search (ICP)	Find people by title, seniority, function, company, location
LinkedIn Company Search (ICP)	Find companies by industry, size, location and tech stack
LinkedIn Company Employees	Employees at a company, filtered by title, seniority and function
LinkedIn Job Scraper	Full details for LinkedIn job postings
LinkedIn Job Change Tracker	People who recently changed jobs

Which LinkedIn actor should I use?

I have…	And I want…	Use
A profile URL	Comments they left on others' posts	LinkedIn Profile Comments Scraper
A profile URL	Reactions they left on others' posts	LinkedIn Profile Reactions Scraper
Profile URL(s)	Their recent posts & engagement	LinkedIn Profile Posts Scraper
Profile URL(s)	Full profile data	LinkedIn Profile Scraper
A post URL	Everyone who commented	LinkedIn Post Comments Scraper
A post URL	Likes, comments, shares & reaction breakdown	LinkedIn Post Performance Scraper
A post URL	Everyone who engaged (commenters + reactors + reposters)	LinkedIn Post Engagers Scraper

FAQ

Do I need a LinkedIn account, cookie, or login?

No. The input requires public LinkedIn profile URLs. It does not request your LinkedIn credentials or session cookies.

Does this return the comments on a profile's own posts?

No. This actor starts from a person's profile and returns comments that profile wrote on other people's posts. The LinkedIn Post Comments Scraper answers the different question of who commented on one specific post.

What does commented_within filter on?

The timestamp of the comment itself — when the profile wrote it. The commented-on post can be much older than the comment.

What does a limit of zero mean?

max_comments_per_profile: 0 requests all available comments, with a maximum of 100 pages per profile. Very active profiles can therefore take longer and consume more usage than a bounded run.

Can I process multiple profiles in one run?

Yes. Add up to 1,000 public profile URLs. The runtime processes profiles in bounded groups of five while preserving input-profile order in the dataset.

Why can engagement counts differ between runs?

Comments, shares, and reactions keep changing after publication. Each record captures the values reported when that profile operation was fetched.

Why are some values null?

Public records do not always expose every identifier, author value, timestamp, or media field. Null means the value was unavailable or could not be parsed safely; the actor does not fill gaps with guesses.

Can profile-image or attachment links expire?

Yes. LinkedIn-hosted media URLs can be temporary. Store or download permitted assets promptly if your workflow needs them later.

Limits and data notes

• Pagination is automatic; max_comments_per_profile is applied after the comment-age filter and duplicate removal.
• commented_within filters on the UTC timestamp of the comment itself, with an inclusive cutoff. Comments with missing or unparseable timestamps are excluded from bounded windows and retained when set to any.
• Every available page is examined until the cursor ends or the 100-page cap is reached; pagination is never stopped early because a page looks older.
• Run status and per-profile counts are written to RUN_SUMMARY in the key-value store (statuses: succeeded, no_results, partial, failed, capped). Errors are never mixed into the dataset.
• Use the actor and its output in accordance with applicable laws, platform terms, and your organization's data policies. This independent actor is not affiliated with or endorsed by LinkedIn.

Feedback and support

If a supported public profile produces an unexpected result, open an issue from the Actor's Issues tab in Apify Console and include the run ID, input URL format, and observed behavior. Do not include credentials or private data.

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More from the same portfolio. Apify only auto-recommends actors in the same category, so here are the rest of ours:

Actor	What it does
LinkedIn Account Intent Feed	LinkedIn workflow
LinkedIn Buying-Committee Mapper	LinkedIn workflow
LinkedIn Champion Tracker	LinkedIn workflow
LinkedIn Company Employees	LinkedIn workflow
LinkedIn Company Posts Scraper	LinkedIn workflow
LinkedIn Company Scraper	LinkedIn workflow
LinkedIn Company Search (ICP)	LinkedIn workflow
LinkedIn Competitor Content Intelligence	LinkedIn workflow
LinkedIn Competitor Hijack Leads	LinkedIn workflow
LinkedIn Engagement Audience Builder	LinkedIn workflow
LinkedIn Executive Post Monitor	LinkedIn workflow
LinkedIn Hiring Pulse	LinkedIn workflow
LinkedIn Job Change Tracker	LinkedIn workflow
LinkedIn Job Scraper	LinkedIn workflow
LinkedIn Market Map Builder	LinkedIn workflow
LinkedIn People Search (ICP)	LinkedIn workflow
LinkedIn Post Comments	LinkedIn workflow
LinkedIn Post Engagers Scraper	LinkedIn workflow
LinkedIn Post Performance Scraper	LinkedIn workflow
LinkedIn Post Reactions	LinkedIn workflow
LinkedIn Post Reposts	LinkedIn workflow
LinkedIn Profile Engagers Scraper	LinkedIn workflow
LinkedIn Profile Posts Scraper	LinkedIn workflow
LinkedIn Profile Reactions	LinkedIn workflow
LinkedIn Profile Scraper · Fresh · No Cookies	LinkedIn workflow
LinkedIn Skill Mapper	LinkedIn workflow
LinkedIn Talent Flow Mapper	LinkedIn workflow
LinkedIn Talent Mapper	LinkedIn workflow
LinkedIn Warm Path Finder	LinkedIn workflow
LinkedIn Why-Now Account Brief	LinkedIn workflow