🚀 LinkedIn Scraper: Posts, Engagers, Reposts & Comments

Extract valuable LinkedIn data from profiles, companies, or specific posts.
This actor collects posts and optionally enriches them with reactions, reposts, and comments for deeper insights and lead generation.

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✨ What this actor does

This actor allows you to:

• Scrape posts from:
  • 👤 LinkedIn profiles
  • 🏢 Company pages
  • 🔗 Direct post URLs
• Extract engagement data:
  • 👍 Reactions (engagers)
  • 🔁 Reposts (reshares)
  • 💬 Comments
• Run multiple targets in parallel
• Handle API failures with retries
• Stream results in real time to dataset

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📥 Input

Targets

Provide one or more targets:

"targetUrls": [
  "https://www.linkedin.com/in/satyanadella/",
  "company:google",
  "https://www.linkedin.com/posts/..."
]

Supported formats:

Type	Example
Profile URL	https://www.linkedin.com/in/username/
Company	company:google
Post URL	https://www.linkedin.com/posts/...
Username	satyanadella

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⚙️ Configuration

Posts

Field	Description
maxPosts	Max posts per target
includeQuotePosts	Include quote posts
includeReposts	Include repost-type posts

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Reactions (Engagers)

Field	Description
scrapeReactions	Enable reactions
maxReactions	Limit reactions per post

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Reposts (Reshares)

Field	Description
scrapeReposts	Enable reposts
maxReposts	Limit reposts per post

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Comments

Field	Description
scrapeComments	Enable comments
maxComments	Limit comments per post
commentSortOrder	Most relevant / Most recent

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▶️ Example Input

{
  "targetUrls": [
    "https://www.linkedin.com/in/satyanadella/",
    "company:google"
  ],
  "maxPosts": 5,
  "scrapeReactions": true,
  "maxReactions": 5,
  "scrapeReposts": true,
  "maxReposts": 5,
  "scrapeComments": true,
  "maxComments": 5,
  "commentSortOrder": "Most relevant"
}

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📤 Output

The dataset contains multiple item types:

📝 Post

• content
• author
• engagement stats
• media (images, video, etc.)

👍 Reaction

• reaction type
• user info
• linked post

🔁 Repost

• reposter info
• original post reference

💬 Comment

• text
• author
• replies
• reaction counts

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⚙️ How it works

1. Extract posts from each target
2. Push posts immediately
3. For each post:
   • Fetch reactions
   • Fetch reposts
   • Fetch comments
4. Push results incrementally
5. Stop automatically if limits are reached

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⚡ Performance

• Parallel processing of targets
• Parallel processing of posts
• Retry mechanism with backoff
• Deduplication of results

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💸 Monetization (Optional)

Supports Apify Pay Per Event:

• 1 post = 1 event
• 1 reaction = 1 event
• 1 repost = 1 event
• 1 comment = 1 event

Enable with:

$ENABLE_PPE_CHARGING=true

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⚠️ Notes

• Data depends on provider API limits
• Some endpoints may return partial results
• Actor is resilient and continues on failures

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🎯 Use Cases

• Lead generation (engagers & commenters)
• Social media analytics
• Influencer research
• Competitor monitoring
• Content performance analysis

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💡 Pro Tips

• Start with low limits to control cost
• Use comments + reactions for richer data
• Combine multiple targets in one run
• Increase concurrency for faster results

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Enjoy scraping! 🚀