LinkedIn Profile Reactions Scraper (No Cookies) ✅ $2 per 1k

LinkedIn Profile Reactions Mass scraper

Our powerful tool helps you extract reactions that are generated by a LinkedIn profile. For example, from this page https://www.linkedin.com/in/satyanadella/recent-activity/reactions/ It will scrape reactions without compromising security or violating platform policies. It is very helpful for engagement analysis and outreach purposes.

Key Benefits

• No cookies or account required: Access profile reactions data without sharing cookies or risking account restrictions
• Low pricing: $2 per 1k profile reactions.
• Fast response times deliver data in seconds 🚀
• Real-time scraping - fresh data.

How It Works

• (required) List of LinkedIn profile URLs to scrape.

Other params (optionally):

• maxItems - Maximum number of profile reactions to scrape per each profile. If you set to 0, it will scrape all available pages or up to 100 pages (each page 20 items) per profile.

Data You'll Receive

• Reaction type (like, love, insightful, etc.)
• Actor's LinkedIn URL
• Actor's position
• Actor's profile picture URL
• Full post details including:
  • Post URL
  • Post content
  • Post author details
  • Engagement metrics (likes, comments, shares)
  • Post images and videos

Sample output data

Here is the example on just 1 result output of this actor:

{
  "id": "ACoAAAEkwwAB9KEc2TrQgOLEQ-vzRyZeCDyc6DQ_7348831781036400646_reaction",
  "action": "Satya Nadella likes this",
  "linkedinUrl": "https://www.linkedin.com/feed/update/urn:li:activity:7348831781036400646?updateEntityUrn=urn%3Ali%3Afsd_update%3A%28urn%3Ali%3Aactivity%3A7348831781036400646%2CPROFILE_REACTIONS%2CEMPTY%2CDEFAULT%2Cfalse%29&originTrackingId=9Y%2Bm%2BViknzEb%2B0ui4nM9OQ%3D%3D",
  "postId": "7348831781036400646",
  "actor": {
    "id": "ACoAAAEkwwAB9KEc2TrQgOLEQ-vzRyZeCDyc6DQ",
    "linkedinUrl": "https://www.linkedin.com/in/satyanadella?miniProfileUrn=urn%3Ali%3Afsd_profile%3AACoAAAEkwwAB9KEc2TrQgOLEQ-vzRyZeCDyc6DQ",
    "picture": {
      "url": "https://media.licdn.com/dms/image/v2/C5603AQHHUuOSlRVA1w/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1579726625483?e=1758153600&v=beta&t=5h2uTQwPlptry-ubK81Y22csoCvOz0cL3NaGptLvfGE",
      "width": 800,
      "height": 800,
      "expiresAt": 1758153600000
    }
  },
  "post": {
    "id": "7348831781036400646",
    "linkedinUrl": "https://www.linkedin.com/posts/aboutasha_today-were-announcing-phi-4-mini-flash-reasoning-activity-7348743038074089472-d-V7",
    "content": "Today we’re announcing Phi-4-mini-flash-reasoning, the newest open model in the Microsoft Phi family, designed for real-time, resource-constrained environments. If you’ve ever hit latency limits while building logic-heavy apps—you’re not alone. This model delivers fast, reliable reasoning to environments where seconds and megabytes count. \n \nWhat makes it different:\n1) Fast and lightweight\n3.8B parameters, 64K context length, deployable on a single GPU—ideal for edge devices and low-latency environments.\n2) Breakthrough efficiency\nDelivers up to 10× higher throughput and 2–3× lower latency than Phi-4-mini, while outperforming larger models on math and logic benchmarks.\n3) New hybrid architecture: SambaY\nCombines Mamba, Sliding Window Attention, and Gated Memory Units (GMUs) to boost long-context and decoding performance—without sacrificing quality.\n \nTry it and push it on Foundry. We’re excited to see what you build!\n \n🔗 to try https://aka.ms/try-phi\n🔗 to read the technical paper https://lnkd.in/gD8ZHQ_b\n🔗 to explore the Phi Cookbook https://aka.ms/phicookbook",
    "author": {
      "universalName": null,
      "publicIdentifier": "aboutasha",
      "type": "profile",
      "name": "Asha Sharma",
      "linkedinUrl": "https://www.linkedin.com/in/aboutasha?miniProfileUrn=urn%3Ali%3Afsd_profile%3AACoAAAGPeLsBi7TKKy_2z8zMkLFLKSuJZFDT2GM",
      "info": "CVP @ Microsoft | Head of AI Platform Products",
      "website": null,
      "websiteLabel": null,
      "avatar": {
        "url": "https://media.licdn.com/dms/image/v2/D5603AQEcyFPESqPiaA/profile-displayphoto-shrink_800_800/B56ZV5FsClHEAc-/0/1741493290045?e=1758153600&v=beta&t=DrnmgqOlmBv5UVvIdRoD6lT93kPPwJbjpZzR-bQWkjg",
        "width": 800,
        "height": 800,
        "expiresAt": 1758153600000
      }
    },
    "postedAt": {
      "timestamp": 1752098031291,
      "date": "2025-07-09T21:53:51.291Z",
      "postedAgoShort": "1w",
      "postedAgoText": "1 week ago • Visible to anyone on or off LinkedIn"
    },
    "postImages": [
      {
        "url": "https://media.licdn.com/dms/image/v2/D5622AQHH9so1Rflp2g/feedshare-shrink_800/B56Zfv62nTHcAg-/0/1752076872480?e=1755734400&v=beta&t=LlUBHIrw07Z1T6I1u1-IAzapnjKU8RYDIwiVu_yr6cs",
        "width": 800,
        "height": 800,
        "expiresAt": 1755734400000
      }
    ],
    "socialContent": {
      "hideCommentsCount": false,
      "hideReactionsCount": false,
      "hideSocialActivityCounts": false,
      "hideShareAction": true,
      "hideSendAction": true,
      "hideRepostsCount": false,
      "hideViewsCount": false,
      "trustInterventionBanner": null,
      "hideReactAction": false,
      "hideCommentAction": false,
      "shareUrl": "https://www.linkedin.com/posts/aboutasha_today-were-announcing-phi-4-mini-flash-reasoning-activity-7348743038074089472-d-V7?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAFuEcukBqN_mMPGtdFcYjIC4Bc_PwcflePY",
      "showContributionExperience": false,
      "showSocialDetail": true
    },
    "comments": [],
    "engagement": {
      "likes": 1496,
      "comments": 63,
      "shares": 171,
      "impressions": 0,
      "reactions": [
        {
          "type": "LIKE",
          "count": 1306
        },
        {
          "type": "PRAISE",
          "count": 91
        },
        {
          "type": "EMPATHY",
          "count": 70
        },
        {
          "type": "INTEREST",
          "count": 22
        },
        {
          "type": "APPRECIATION",
          "count": 7
        }
      ]
    }
  }
}

Linkedin Profile Reactions API

The actor stores results in a dataset. You can export data in various formats such as CSV, JSON, XLS, etc. You can scrape and access data on demand using API.

Support and Feedback

We continuously enhance our tools based on user feedback. If you encounter technical issues or have suggestions for improvement:

• Create an issue on the actor’s Issues tab in Apify Console
• Chat with us on our Discord server
• Or contact us at contact@harvest-api.com