LinkedIn Profile Engagement Scraper — No Login, No Cookies, Pay Per Result

For any LinkedIn profile, extract every public commenter on their posts — names, profile URLs, headlines, comment text, reaction counts, full target-post context. Clean structured JSON. No LinkedIn login required. No cookies. No browser session. No account ban risk.

The fastest, cheapest, safest way to extract LinkedIn profile engagement at scale — built for B2B sales prospecting, account-based marketing (ABM), audience research, lead generation, and competitive intelligence.

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How this compares to other LinkedIn engagement scrapers

We benchmarked the alternatives on Apify Store. Here's the honest landscape:

	Cookie-based scrapers	Rental scrapers ($30/mo)	Per-post scrapers ($1.10/1k)	"Comments by user" ($5/1k)	This actor
Input	Profile URL	Profile URL	One post URL	Profile slug	Multiple profile URLs (batch)
Output direction	Mixed	Post metrics only	Single post commenters	Comments user left elsewhere	Every commenter on the profile's posts
Login required	❌ Yes — li_at cookie	❌ Varies	✅ No	✅ No	✅ No login, no cookies
Account ban risk	🔴 High	🔴 Varies	✅ Zero	✅ Zero	✅ Zero
Output fields per record	5–10	counts only	5	8–12	32 fields
Includes nested replies	Limited	n/a	Sometimes	Yes	✅ Yes, tagged with isReply
Target post context	Limited	n/a	Implicit (single post)	Implicit	✅ Full post URN, URL, author, date, reactions
Pricing	Varies (often $5+/1k)	$30+/month flat	$1.10 per 1,000	$5.00 per 1,000	$1.00 per 1,000
Pay-per-result (no waste on low volume)	Varies	❌ Monthly minimum	✅ Yes	✅ Yes	✅ Yes

Bottom line: $1/1k is the cheapest in the category. We're the only scraper that batches by profile URL AND returns every public commenter with full target-post context — at half the price of the next-cheapest alternative.

What you get — every engaged commenter on a prospect's posts

For every public engagement on the queried profile's posts, this actor returns 32 fields per record:

• Commenter identity — full name, headline, public profile URL, member URN, dash URN, profile picture URL
• The comment itself — full text (Unicode + emoji safe), edit flag, ISO + Unix ms timestamps, permalink, reactions breakdown, reply count
• Reply detection — isReply boolean (true when the record is a threaded reply, not top-level)
• Target context — which of the prospect's posts the comment is on: URN, URL, preview text, author info, timestamp, total engagement metrics
• Self-filter — isFromTargetProfile flag lets you exclude the prospect's own replies in one line of code

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

Top use cases — built for B2B sales, ABM, and audience research

1. Account-based marketing (ABM) prospecting

Pass your top-50 target prospects as profile URLs. Get back every public commenter on their LinkedIn content. Dedupe by company → ABM target list pre-warmed by topic interest. This is engagement-based lead generation done at scale — no cold-list outreach, no Sales Navigator gymnastics.

2. Sales prospecting from buyer engagement signals

Targeting a CEO or decision-maker? Pull every commenter on their posts → those people are in the buying committee or adjacent. Reply-rate from buyer-engagement outreach beats raw cold-lists 2–4×. Tag the records with isFromTargetProfile=false to filter out the prospect's own replies and get only external commenters.

3. Influencer audience audit and creator vetting

Before paying a creator for a sponsored post, audit their commenter list. Real audience or paid engagement pods? One run shows you who has engaged with their content — look at headlines, employers, account quality. 30 seconds of cost, hours of due diligence saved.

4. Competitive intelligence — track competitor thought leaders

Run this monthly on your competitor's CMO, founder, or product lead. Get a stream of every prospect engaging with their thought leadership. Those prospects are warm to the topic — and potentially switchable. Build your switcher pipeline from public LinkedIn signals.

5. Personal branding analytics

Pass your own profile URL. See every public engagement, sorted by reactions. Identify your strongest content, your warmest commenters, and the gaps in your reach. Build a feedback loop on what resonates without paying for LinkedIn Premium analytics.

6. Hiring and recruiting signals

Pass a candidate's profile URL. See who engages with their content publicly. Reveals their professional network, peers, and how active their reputation is. Real signal beyond the résumé.

7. Audience research for content strategy

Track who comments on industry thought leaders in your space. Aggregate the commenter list across 10 profiles → that's your ICP's public watering hole, mapped.

Quick start (3 steps, 30 seconds)

Step 1 — Get the profile URL

Open the LinkedIn profile in your browser and copy the URL — https://www.linkedin.com/in/<username>/. You can also pass just the username slug (e.g., satyanadella) via the Profile usernames field.

Step 2 — Run the actor

1. Click the green Start button
2. Paste one or more profile URLs into Profile URLs (one per line)
3. Set Max engagement records per profile to cap your cost per profile (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
profileUrls	array of strings	[]	LinkedIn profile URLs of the people whose engagement you want to extract.
profileIds	array of strings	[]	Alternative to URLs — pass just the username slugs (e.g., "satyanadella").
maxCommentsPerProfile	integer	500	Hard cap on engagement records per profile. Lower runs faster and costs less.
proxyConfiguration	object	Apify residential	Proxy settings (defaults are correct for most users).

At least one of profileUrls or profileIds is required.

Example input

{
  "profileUrls": [
    "https://www.linkedin.com/in/satyanadella/",
    "https://www.linkedin.com/in/reidhoffman/"
  ],
  "maxCommentsPerProfile": 250
}

Output

Each engagement is a single dataset record (commenter + their comment + full target post context):

{
  "type": "engagement",
  "commenterUrn": "urn:li:member:123456789",
  "commenterDashUrn": "ACoAAAA...",
  "commenterFullName": "Jane Doe",
  "commenterHeadline": "VP of Marketing at Example Corp",
  "commenterProfileUrl": "https://www.linkedin.com/in/janedoe",
  "commenterProfilePictureUrl": "https://media.licdn.com/...",
  "commentText": "Congratulations on the launch — looking forward to trying this with our team.",
  "commentEdited": false,
  "commentCreatedAt": "2026-04-15T14:22:30.000000+00:00",
  "commentCreatedAtMs": 1776264150000,
  "commentPermalink": "https://www.linkedin.com/feed/update/.../?commentUrn=...",
  "isReply": false,
  "isFromTargetProfile": false,
  "numLikes": 12,
  "numReplies": 2,
  "reactions": [
    { "reactionType": "LIKE", "reactionCount": 9 },
    { "reactionType": "PRAISE", "reactionCount": 3 }
  ],
  "targetProfileUsername": "examplefounder",
  "targetProfileDashUrn": "ACoAAAB...",
  "targetPostUrn": "urn:li:activity:7400000000000000000",
  "targetPostUrl": "https://www.linkedin.com/feed/update/urn:li:activity:7400000000000000000",
  "targetPostTextPreview": "Excited to announce our latest product launch. Built with the team in 6 weeks...",
  "targetPostHeader": "",
  "targetPostAuthorName": "Example Founder",
  "targetPostAuthorHeadline": "Founder & CEO at Example Corp",
  "targetPostAuthorUrl": "https://www.linkedin.com/in/examplefounder",
  "targetPostCreatedAt": "2026-04-10T10:00:00.000000+00:00",
  "targetPostCreatedAtMs": 1776002400000,
  "targetPostReactionsCount": 542,
  "targetPostCommentsCount": 87,
  "targetPostRepostsCount": 23,
  "scrapedAt": "2026-05-17T12:00:00.000000+00:00"
}

A final summary record is also pushed: totalEngagements, profilesSuccessful, profilesFailed, profilesTotal.

Pricing — pay only for results

$1.00 per 1,000 engagement records. Pay-per-result.

• ✅ No subscription
• ✅ No base fee
• ✅ No charge for failed runs
• ✅ No charge for profiles with no public engagement (clean diagnostic record)
• ✅ Apify's free tier ($5/month platform credit) gets you ~5,000 free records to start

The cheapest LinkedIn profile engagement scraper on Apify Store. Competitors charge $2–$5 per 1,000 results.

Combine with other LinkedIn actors

Build a complete LinkedIn intelligence pipeline:

• Pipe commenterProfileUrl into the LinkedIn Profile Scraper to enrich every commenter with full firmographic data
• Pipe targetPostUrn into the LinkedIn Post Reactions Scraper for reactions on the same posts
• Pipe targetPostUrn into the LinkedIn Post Comments Scraper for full comment threads on those posts

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 public engagement 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 is "Profile Engagement" different from "Post Comments"?

This actor takes a profile URL and returns every commenter on all of that profile's recent posts. The Post Comments Scraper takes a single post URL and returns every commenter on just that post. Use this one to track a person; use Post Comments to track a specific post.

Why is this cheaper than other LinkedIn engagement scrapers?

Direct competitors charge $1.10 to $5.00 per 1,000 results, and some are rental-only at $30+/month. We negotiated a managed data partnership that gives us cookieless LinkedIn access at lower vendor cost — and we pass the savings through. $1 per 1,000 is the cheapest in the category on Apify Store.

Can I scrape multiple profiles in one run?

Yes. Paste a list of profile URLs into the Profile URLs field. The actor processes them sequentially with built-in deduplication by username slug — duplicates in your input are scraped only once, saving credits.

Does this work for company pages too?

No — this actor only accepts personal LinkedIn profiles (linkedin.com/in/<username>/). Company pages (linkedin.com/company/<slug>/) return a clean "URL not supported" diagnostic. For company posts and engagement, see the linkedintel LinkedIn Company Scraper.

What does isFromTargetProfile do?

When a profile owner replies to comments on their own posts, those replies show up in the result set too. Filter isFromTargetProfile=false to get only external commenters (typical lead-gen use case).

How fast is it?

1–15 seconds per profile depending on engagement volume. The actor paginates automatically via cursor.

What if the profile is private or doesn't exist?

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

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.

Can AI agents pay for and run this actor?

Yes — Agent Payments (x402 / USDC) are enabled. AI agents can pay per run in stablecoin.

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
• Personal data returned (names, public profiles, public headlines, public comments) may require a lawful basis (legitimate interest, consent) before outbound use
• 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 — 2026-05-17

• Initial release
• Cookieless architecture — zero account-ban risk
• 32 fields per record: full commenter context + full target post context
• Reply detection (isReply from permalink structure)
• Target profile self-filter (isFromTargetProfile)
• Cursor-based pagination, ~99 records per upstream call
• Clean diagnostic records for missing profiles, private profiles, empty engagement
• 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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