📝 LinkedIn Posts Search Scraper

Extract posts from LinkedIn with detailed metadata! This powerful tool helps you gather comprehensive information about LinkedIn posts, including content, author details, engagement metrics, and direct URLs.

✨ Key Features

• 📥 Search posts with flexible filters
• 📊 Get detailed post metadata including:
  • Post content and commentary
  • Author information
  • Engagement metrics (likes, comments, shares)
  • Article components
  • Social details
• 🔗 Generate direct URLs for:
  • Posts
  • Author profiles
• 📈 Support for large result sets with automatic pagination
• 📋 Clean and structured JSON output

💪 Why Choose This Actor?

• Comprehensive: Get all post details from LinkedIn
• Flexible: Multiple search filters and parameters
• Efficient: Automatic pagination for large result sets
• Structured: Clean JSON output for easy integration
• Reliable: Stable and consistent data extraction
• User-Friendly: Simple input parameters

🎯 Perfect For

• 📊 Social Media Analysts
• 📈 Content Researchers
• 📱 Marketing Professionals
• 🎯 Brand Monitors
• 🔍 Competitor Analysts
• 📋 Content Strategists

📈 Use Cases

1. Content Research: Analyze trending topics and content
2. Competitor Analysis: Monitor competitor's social media presence
3. Content Discovery: Find relevant posts and articles
4. Engagement Analysis: Study post performance metrics
5. Brand Monitoring: Track brand mentions and discussions

📝 Input Requirements

The actor accepts the following input parameters:

• keyword (required): Search keyword for post search (post search v2 API)
• maxResults (optional): Maximum number of posts to extract (default: 20, max: 5000)
• sort_by (optional): relevance or date_posted
• date_posted (optional): past_month, past_week, past_24h, or empty for no filter
• content_type (optional): photos, videos, jobs, live_videos, documents, collaborative_articles, or empty
• from_member (optional): Comma-separated member IDs to filter authors
• from_company (optional): Comma-separated company IDs to filter companies

Input Example

{
  "keyword": "machine learning",
  "maxResults": 20,
  "sort_by": "relevance",
  "date_posted": "",
  "content_type": "",
  "from_member": "",
  "from_company": ""
}

Output Example

Each dataset record matches the post search v2 shape, plus a scrapedAt timestamp added by the actor:

[
  {
    "id": "urn:li:activity:7324305403838693376",
    "url": "https://www.linkedin.com/posts/...",
    "title": "Post headline or preview text",
    "activity": {
      "num_likes": 16,
      "num_comments": 9,
      "num_shares": 1,
      "reaction_counts": [
        { "count": 12, "type": "LIKE" }
      ]
    },
    "created_at": "2025-05-03T05:34:47.000Z",
    "author": {
      "name": "Jane Doe",
      "description": "Software Engineer @ Example Corp",
      "url": "https://www.linkedin.com/in/...",
      "avatar": [
        {
          "width": 200,
          "height": 200,
          "url": "https://media.licdn.com/dms/image/...",
          "expires_at": 1752710400
        }
      ]
    },
    "scrapedAt": "2025-05-12T09:03:48.797Z"
  }
]