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🚀 LinkedIn Profile Comments & Reactions Scraper

Extract comments and reactions made by any public LinkedIn profile, including post context, engagement metrics, and structured data ready for analytics.

🔥 Features

• ✅ Scrape comments and reactions from LinkedIn profiles
• ✅ Support for multiple usernames in one run
• ✅ Date filtering (from / to)
• ✅ Automatic pagination handling
• ✅ Deduplication per profile
• ✅ Clean, normalized output (ready for BI / dashboards)
• ✅ Retry logic for unstable APIs
• ✅ Optional raw response for debugging

📥 Input

Example input:

{
"usernames":["satyanadella","billgates"],
"type":"both",
"maxItemsPerProfile":200,
"dateFrom":"2025-01-01",
"dateTo":"2026-03-29",
}

🧾 Input Parameters

📤 Output

Each row is normalized and consistent, regardless of whether it's a comment or reaction.

🧱 Example Output

{
"sourceType":"reaction",
"inputUsername":"satyanadella",
"eventDate":"2026-03-29 00:01:26",
"eventTimestamp":1774738886588,
"actorName":"Arun Ulag",
"actorProfileUrl":"https://www.linkedin.com/in/arunulag",
"content":"AI progress isn’t limited by models...",
"action":"Satya Nadella likes this",
"postUrl":"https://www.linkedin.com/posts/...",
"postText":null,
"postAuthorName":null,
"postAuthorProfileUrl":null,
"postDate":null,
"postTotalReactions":575,
"postCommentsCount":13,
"postRepostsCount":62
}

🧠 Output Fields

🎯 Use Cases

📊 1. Social Media Analytics

• Analyze engagement patterns of influencers
• Track activity of competitors
• Identify viral posts

🧑‍💼 2. Lead Generation

• Identify active users engaging with specific topics
• Extract users interacting with industry leaders

📈 3. Personal Branding Analysis

• Monitor how often a profile engages
• Analyze comment frequency and timing

🧠 4. AI & Data Pipelines

• Feed data into LLMs
• Build engagement scoring systems
• Train recommendation engines

🏢 5. Sales & Growth Teams

• Identify high-intent users
• Track engagement on key accounts

⚙️ How It Works

1. Fetches paginated data from LinkedIn API

2. Applies:

   • date filtering
   • deduplication

3. Normalizes output across comments & reactions

4. Returns structured dataset ready for analysis

⚠️ Notes

• Results depend on API limits and availability
• Data is limited to publicly accessible activity

💡 Pro Tips

• Use dateFrom to reduce costs and speed up runs

• Increase maxItemsPerProfile for deeper analysis

• Combine multiple profiles for competitive insights

• Export dataset to:

  • Power BI
  • Tableau
  • Excel

🚀 Positioning

This actor is not just a scraper.

👉 It’s a LinkedIn Engagement Intelligence Tool

📬 Support

If you need custom features (filters, scoring, integrations), feel free to reach out.

⭐ If this actor helps you

Leave a rating and help others discover it!