LinkedIn Profile Reactions

Give it one or more public LinkedIn profile URLs and get structured records of the posts those profiles reacted to — post text, author, engagement counts, full reaction breakdown, and attachments — with 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 reacted-to post for one input profile:

• the reacting profile's URL, public identifier, and name, plus the public action label (e.g. Satya Nadella likes this)
• the reacted-to post's URL, URN, full text, publication time, and repost/edited flags
• aggregate engagement on the post: total reactions, comment count, share count, per-type counts (Like, Praise, Empathy, Appreciation, Interest, Entertainment), and a reaction_breakdown array
• the post author's name, headline, LinkedIn URL, and image URL
• attachments, mentions, and shared-post context when available
• input_index, reaction_index, and fetched_at for stable ordering and traceability

Output example

{
  "reaction_id": "9b2f49c47228405419cebf6120a9f10613a0279cfd71e664bc4201a56fae441b",
  "reacting_profile_url": "https://www.linkedin.com/in/satyanadella",
  "reacting_profile_identifier": "satyanadella",
  "reacting_profile_name": "Satya Nadella",
  "reaction_action": "Satya Nadella likes this",
  "reaction_target": "Post",
  "post_id": "7481741318122110976",
  "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_is_repost": false,
  "post_is_edited": false,
  "total_reaction_count": 960,
  "post_comment_count": 84,
  "post_share_count": 90,
  "like_reaction_count": 795,
  "praise_reaction_count": 41,
  "empathy_reaction_count": 87,
  "reaction_breakdown": [
    {"reaction_type": "LIKE", "count": 795},
    {"reaction_type": "EMPATHY", "count": 87},
    {"reaction_type": "INTEREST", "count": 26},
    {"reaction_type": "PRAISE", "count": 41}
  ],
  "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",
  "attachments": [],
  "mentions": [],
  "input_index": 0,
  "reaction_index": 0,
  "fetched_at": "2026-07-13T00:00:00.000Z"
}

For CSV and spreadsheet exports, scalar fields stay as columns; reaction_breakdown, attachments, mentions, 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	—	Between 1 and 1,000 public linkedin.com/in/... profile URLs. Regional LinkedIn hosts are accepted.
max_reactions_per_profile	integer	No	100	Save between 0 and 1,000 unique records per profile. 0 continues until pagination ends or the 100-page cap is reached.
posted_within	string	No	any	Keep posts published within 24h, week, month, 3months, 6months, year, or use any.

Example:

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

Company pages, post URLs, search pages, Sales Navigator links, and bare profile identifiers without the full URL are rejected before any extraction request.

How to use it

1. Copy one or more public LinkedIn profile URLs (up to 1,000 per run).
2. Paste them into LinkedIn Profile URLs.
3. Optionally set a per-profile limit and a post-age filter.
4. Click Start.
5. Open the dataset to inspect or export the reaction records as JSON, CSV, Excel, XML, or HTML.

Use cases

• Sales research — see which public posts a prospect or buyer reacts to before outreach.
• Account intelligence — track themes and authors receiving engagement from selected profiles.
• Creator and influencer research — analyze the content and people that attract reactions from industry voices.
• Content research — compare reacted-post topics, formats, authors, and engagement levels.
• Automation — send new reaction records to a CRM, warehouse, spreadsheet, webhook, or AI workflow.

Pricing

$2 per 1,000 reaction records ($0.002 per record). You are billed per unique reacted-to-post 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 Comments Scraper	Comments 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	Reactions they left on others' posts	LinkedIn Profile Reactions Scraper
A profile URL	Comments they left on others' posts	LinkedIn Profile Comments 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 reacted	LinkedIn Post Reactions 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

Example tasks

Ready-made configurations you can run as-is, each with its own guide:

• Build a warm lead list from any LinkedIn post
• Find everyone who commented on a competitor's launch post
• Get the reactors on an industry report post
• Capture the reposters who amplified a post
• Source prospects from a webinar promo post
• Find engagers on a hiring announcement post
• Build an audience from a competitor's whole feed
• Find everyone who engaged with a thought leader this month
• Turn a creator's content into a lead list
• Rank the warmest engagers across a profile's posts

FAQ

Do I need LinkedIn cookies or a LinkedIn login?

No. The input contains public LinkedIn profile URLs; you do not provide LinkedIn session cookies or account credentials.

Does this return the people who reacted to a profile's posts?

No. This actor starts from a person's profile and returns the posts that profile reacted to. The LinkedIn Post Reactions Scraper answers the different question of who reacted to one specific post.

Does reaction_breakdown show the profile's own reaction type?

No. It is the aggregate breakdown for the reacted-to post. Use reaction_action for the public action label supplied for the queried profile.

Can I filter by when the reaction happened?

No reaction timestamp is available. posted_within filters on when the reacted-to post was published, not when the profile reacted to it.

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.

How are large batches handled?

Up to five profiles are processed concurrently in bounded windows. Results are still pushed in normalized input order, and pages for one profile are processed serially.

Limits and data notes

• Pagination is automatic; max_reactions_per_profile is applied after the post-age filter and duplicate removal.
• posted_within uses the reacted-to post's UTC publication timestamp and includes the exact cutoff; posts with missing timestamps are excluded from bounded windows and retained when set to any.
• post_created_at is the post's publication time, not the time the profile reacted. The actor does not invent an unavailable reaction timestamp.
• Post engagement values are a snapshot; if the reported total exceeds the sum of the named reaction columns, the gap appears in other_reaction_count.
• 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 only for legitimate purposes and handle personal data in compliance with applicable laws and platform terms. This independent actor is not affiliated with or endorsed by LinkedIn.

Feedback and support

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

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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 Comments	LinkedIn workflow
LinkedIn Profile Engagers Scraper	LinkedIn workflow
LinkedIn Profile Posts Scraper	LinkedIn workflow
LinkedIn Profile Scraper · Fresh · No Cookies	LinkedIn workflow
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