🔗 LinkedIn Post Scraper (Reactions + Comments)

Extract every person who engaged with any LinkedIn post, enriched with full profile-level data. Paste a LinkedIn post URL and get a clean, structured export of all reactors and commenters with headline, location, follower count, work history, education, skills, and more.

Perfect for:

• Warm outbound outreach
• Competitor audience mining
• Event and launch follow-ups
• Social intent signal collection

No login cookies required.

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⚙️ How It Works

Step	What Happens
Input	Submit one or more LinkedIn post URLs
Collection	Actor pulls all reactors and commenters on the post
Enrichment	Each engager is enriched with full profile-level data
Output	Clean JSON / CSV / Excel export

Every row includes whether the person reacted, commented, or did both, along with the specific reaction type they left.

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📌 Data Fields

Field	Description
publicIdentifier	Public LinkedIn profile slug
linkedInIdentifier	LinkedIn's internal profile identifier
memberIdentifier	Numeric LinkedIn member ID
linkedInUrl	Direct profile URL
firstName	First name
lastName	Last name
headline	Profile headline
summary	Profile about/summary section
location	Profile location
followerCount	Total followers
premium	Whether the member has LinkedIn Premium
is_open_profile	Whether the profile is an Open Profile
is_creator	Whether creator mode is enabled
is_influencer	Whether the member is a LinkedIn Influencer
websites	Websites listed on the profile
connections_count	Total connections
birthdate	Birthdate, if public
positions	Full work history (company, title, dates, description, company ID, LinkedIn URL, logo)
schools	Full education history (school, degree, dates, school ID, description)
skills	Listed skills with endorsement counts and insights
languages	Languages listed on the profile
recommendations	Recommendations received
volunteering_experience	Volunteering history
photoUrl	Profile picture URL
backgroundUrl	Profile banner image URL
reaction	TRUE if the person reacted to the post
reaction_type	Reaction type: LIKE, APPRECIATION, INTEREST, PRAISE, EMPATHY, ENTERTAINMENT
comment	TRUE if the person commented on the post

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📊 Sample Output

{
  "publicIdentifier": "joelproctor",
  "linkedInIdentifier": "ACoAAA0ZuY4BcrIv4750v7HFQdV5-KuLvfNy0qM",
  "memberIdentifier": "219789710",
  "linkedInUrl": "https://www.linkedin.com/in/joelproctor",
  "firstName": "Joel",
  "lastName": "Proctor",
  "headline": "Automating CloudOps @ BlueArch | BYOC Governance | Best Practices-as-a-Service (BPaaS)™",
  "location": "Seattle, Washington, United States",
  "followerCount": "5136",
  "premium": "TRUE",
  "is_open_profile": "TRUE",
  "is_creator": "TRUE",
  "positions": {
    "positionsCount": 10,
    "positionHistory": [
      {
        "start": "4/1/2021",
        "end": null,
        "company": "BlueArch",
        "position": "Founder / CEO",
        "status": "Full-time",
        "location": "Seattle, WA",
        "company_id": "74906373",
        "company_linkedin_url": "http://www.linkedin.com/company/bluearchgroup",
        "skills": ["Cloud Governance", "FinOps Best Practices as a Service", "Amazon Web Services (AWS)"]
      }
    ]
  },
  "skills": {
    "Skills": [
      { "name": "Leadership", "endorsement_count": 27 },
      { "name": "Business Process", "endorsement_count": 23 }
    ]
  },
  "reaction": "TRUE",
  "reaction_type": "APPRECIATION",
  "comment": "FALSE"
}

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💰 Pricing

$10.00 per 1,000 results

One flat rate. Full profile enrichment is included by default with no add-on tiers.

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📦 Estimated Delivery Time

Volume	Delivery Time
Up to 10,000 results	Within 3 hours
10,000 to 50,000 results	3 to 6 hours
50,000+ results	6 to 12 hours

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📁 How to Use

1. Create a free Apify account
2. Open this actor and paste your LinkedIn post URL as input
3. Run the actor
4. Download your structured JSON, CSV, or Excel output

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⚠️ Disclaimer

This actor is intended for legitimate business use cases such as market research, lead generation, and outreach. Use it in compliance with LinkedIn's Terms of Service and applicable data privacy regulations (GDPR, CCPA, etc.). The actor does not require or store any LinkedIn credentials.