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

For any LinkedIn profile, extract every post they've publicly reacted to — reaction type (Like / Celebrate / Love / Support / Insightful / Funny / Curious), full post content, post author, engagement metrics, media attachments. Clean structured JSON. No LinkedIn login required. No cookies. No browser session. No account ban risk.

The fastest, cheapest, safest way to map a LinkedIn profile's reaction activity at scale — built for B2B sales prospecting, account-based marketing (ABM), buying-signal monitoring, audience research, competitive intelligence, and influencer audit.

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How this compares to other LinkedIn profile reactions scrapers

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

	harvestapi/linkedin-profile-reactions	apimaestro/linkedin-profile-reactions	This actor
Pricing	$2.00/1k	$5.00/1k	$1.00/1k (50% cheaper than harvestapi, 80% cheaper than apimaestro)
Output fields per record	~10	~10	28 fields
Reaction type detection	ID + verb	text only	✅ Parsed enum: LIKE / PRAISE / APPRECIATION / EMPATHY / INTEREST / ENTERTAINMENT / MAYBE
Distinguishes post vs comment reactions	❌	❌	✅ reactionTargetType field
Detects reshares (targetIsReshare)	❌	❌	✅
Distinguishes PERSON vs COMPANY post author	❌	❌	✅ targetAuthorType
Media attachments URL list	Partial	Partial	✅ targetMediaContent array + targetMediaCount
Login required	✅ No	✅ No	✅ No login, no cookies
Account ban risk	✅ Zero	✅ Zero	✅ Zero
Pay-per-result	✅ Yes	✅ Yes	✅ Yes

Bottom line: $1/1k is the cheapest LinkedIn profile reactions scraper on Apify Store, with the richest output schema, the only one that parses reaction types into a clean enum, and the only one that distinguishes post vs comment reactions.

What you get — every reaction the profile made

For every public reaction the queried profile has given, this actor returns 28 fields per record:

• The reactor — username (input) + LinkedIn dash URN
• The reaction itself — parsed enum (reactionType: LIKE / PRAISE / APPRECIATION / EMPATHY / INTEREST / ENTERTAINMENT / MAYBE), target type (reactionTargetType: post vs comment), raw header text
• The target post — URN, URL, full content, preview, edit flag, ISO + Unix ms timestamps, reshare flag
• The target author — name, headline, profile URL, dash URN, member ID, type (PERSON vs COMPANY), profile picture URL
• Engagement on the target — total reactions, comments count, reposts count, reactions breakdown by type
• Media on the target — array of images/videos + count

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

Top use cases

1. Buying-signal detection

"Did my target prospect react to a competitor's launch announcement?" Pull their last 500 reactions. Filter by targetAuthorName containing competitor names. Real-time switcher detection — most powerful B2B sales signal LinkedIn offers.

2. Account-based marketing (ABM)

Pass your top-50 target accounts' decision-makers as profile URLs. Get every post they've reacted to. Aggregate the target post authors → your warmest content + topics for ABM messaging.

3. Personal-brand engagement audit

Pass your own profile URL. See every post you've reacted to publicly. Audit your own digital footprint — what message does your reaction pattern send to prospects who check?

4. Competitor radar — who do they engage with?

Run this monthly on your competitor's CMO, product lead, or founder. Get a stream of every post they react to → reveals their partners, customers, peer leaders, content sources. The hidden network behind the public LinkedIn presence.

5. Influencer + creator vetting

Before paying for a sponsored post, audit what the creator publicly endorses. Their reaction pattern reveals real interests vs. paid alignment. One run shows you what they actually believe in publicly.

6. Content strategy research

Track which posts your industry's thought leaders react to. Aggregate the topics + authors → your content calendar gold mine. What resonates with the people you're trying to reach?

7. Recruitment + candidate intel

Pass a candidate's profile URL. Their reaction pattern reveals professional interests, peer network, and recent topics of attention. Better than the résumé.

Quick start (3 steps, 30 seconds)

Step 1 — Get the profile URL

Open the LinkedIn profile 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
3. Set Max reactions per profile to control cost (default 500)
4. Click Start

Step 3 — Get your data

Results stream into the Dataset tab. 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 reactions you want to extract.
profileIds	array of strings	[]	Alternative to URLs — pass just the username slugs (e.g., "satyanadella").
maxReactionsPerProfile	integer	500	Hard cap on reaction 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/"
  ],
  "maxReactionsPerProfile": 250
}

Output

Each reaction is a single dataset record:

{
  "type": "reaction",
  "reactorUsername": "satyanadella",
  "reactorDashUrn": "ACoAAAA...",
  "reactionType": "LIKE",
  "reactionTargetType": "post",
  "reactionHeader": "Satya Nadella likes this",
  "targetUrn": "urn:li:activity:7400000000000000000",
  "targetUrl": "https://www.linkedin.com/feed/update/urn:li:activity:7400000000000000000",
  "targetText": "Excited to announce our latest product launch...",
  "targetTextPreview": "Excited to announce our latest product launch...",
  "targetEdited": false,
  "targetCreatedAt": "2026-04-15T14:22:30.000000+00:00",
  "targetCreatedAtMs": 1776264150000,
  "targetIsReshare": false,
  "targetAuthorName": "Example Founder",
  "targetAuthorHeadline": "Founder & CEO at Example Corp",
  "targetAuthorUrl": "https://www.linkedin.com/in/examplefounder",
  "targetAuthorUrn": "urn:li:fsd_profile:ACoAAAB...",
  "targetAuthorId": "urn:li:member:123456789",
  "targetAuthorType": "PERSON",
  "targetAuthorProfilePictureUrl": "https://media.licdn.com/...",
  "targetTotalReactions": 542,
  "targetCommentsCount": 87,
  "targetRepostsCount": 23,
  "targetReactionBreakdown": [
    { "reactionType": "LIKE", "reactionCount": 480 },
    { "reactionType": "PRAISE", "reactionCount": 45 },
    { "reactionType": "EMPATHY", "reactionCount": 17 }
  ],
  "targetMediaContent": [
    { "type": "image", "url": "https://media.licdn.com/..." }
  ],
  "targetMediaCount": 1,
  "scrapedAt": "2026-05-17T12:00:00.000000+00:00"
}

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

Reaction type enum

Value	LinkedIn UI label
LIKE	Like 👍
PRAISE	Celebrate 👏
APPRECIATION	Support ❤️‍🩹
EMPATHY	Love ❤️
INTEREST	Curious 🤔
ENTERTAINMENT	Funny 😂
MAYBE	Insightful 💡

Pricing — pay only for results

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

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

The cheapest LinkedIn profile reactions scraper on Apify Store — 50% cheaper than the closest competitor ($2.00/1k), 80% cheaper than the established alternative ($5.00/1k).

Combine with other LinkedIn actors

Build a complete LinkedIn intelligence pipeline:

• Pipe targetAuthorUrl into the LinkedIn Profile Scraper to enrich every post-author with full firmographic data
• Pipe targetUrn into the LinkedIn Post Comments Scraper to combine reaction data with full comment threads
• Pipe reactorUsername into the LinkedIn Profile Engagement Scraper to see who reacts to the reactor's content

FAQ

Do I need a LinkedIn account?

No. This actor reads public reaction data without any LinkedIn login, cookie, or browser session.

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 this different from your other LinkedIn Reactions Scraper?

The LinkedIn Reactions Scraper (a5) takes a post URL and returns every reactor on that one post. This actor takes a profile URL and returns every post the profile reacted to (inverse direction). Use a5 to study a post; use this one to study a person.

What if a profile has reacted to a comment instead of a post?

The actor still captures it. The reactionTargetType field is set to "comment" (vs "post") so you can filter or analyze separately.

Why is this cheaper than other LinkedIn reactions scrapers?

Direct competitors charge $2.00 to $5.00 per 1,000 results. We negotiated a managed data partnership that gives us cookieless LinkedIn access at a lower vendor cost — and we pass the savings through.

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.

What's the maximum number of reactions per profile?

Up to 50,000 reactions per profile (controlled by maxReactionsPerProfile). LinkedIn typically surfaces the most recent ~3,000 public reactions per profile via the upstream API.

How fast is it?

1–30 seconds per profile depending on volume. Pagination via cursor handles large profiles automatically.

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

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

Does this work for company pages?

No — this actor only accepts personal LinkedIn profiles (linkedin.com/in/<username>/). Company pages return a clean "URL not supported" diagnostic.

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, reaction events) 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
• 28 fields per record: full reactor + target post + target author + engagement context
• Reaction type parsed from header into clean 7-value enum (LIKE / PRAISE / APPRECIATION / EMPATHY / INTEREST / ENTERTAINMENT / MAYBE)
• reactionTargetType distinguishes post vs comment reactions
• targetIsReshare flag and targetAuthorType (PERSON vs COMPANY) detection
• Media attachment URLs array
• Cursor-based pagination for high-volume profiles
• Clean diagnostic records for missing profiles, private profiles, empty engagement
• Native Apify integrations + Agent Payments (x402 / USDC)
• 14/14 tests passed across 3 tiers (correctness, stress, edge cases)

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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