🚀 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.

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🔥 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

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📥 Input

Example input:

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

🧾 Input Parameters

Field	Type	Description
usernames	array	List of LinkedIn usernames
type	string	comments, reactions, or both
maxItemsPerProfile	integer	Max items per profile
dateFrom	string	Filter results from this date (YYYY-MM-DD)
dateTo	string	Filter results up to this date

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📤 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
}

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🧠 Output Fields

Field	Description
sourceType	comment or reaction
inputUsername	Profile being scraped
eventDate	When the action happened
eventTimestamp	Timestamp (ms)
actorName	Person who reacted/commented
actorProfileUrl	Actor LinkedIn profile
content	Comment text or post preview
action	Action type (commented, liked, etc.)
postUrl	LinkedIn post URL
postText	Original post content (if available)
postAuthorName	Author of the post
postDate	Post creation date
postTotalReactions	Total reactions on post
postCommentsCount	Total comments
postRepostsCount	Total reposts

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🎯 Use Cases

📊 1. Social Media Analytics

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

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🧑‍💼 2. Lead Generation

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

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📈 3. Personal Branding Analysis

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

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🧠 4. AI & Data Pipelines

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

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🏢 5. Sales & Growth Teams

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

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⚙️ 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

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⚠️ Notes

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

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💡 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

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🚀 Positioning

This actor is not just a scraper.

👉 It’s a LinkedIn Engagement Intelligence Tool

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📬 Support

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

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⭐ If this actor helps you

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