🚀 LinkedIn Posts Scraper ⚡ No Login Required

Overview

The LinkedIn Posts Scraper is an Apify Actor that extracts comprehensive data from public LinkedIn posts at scale. Perfect for social media analysis, content research, engagement tracking, and competitive intelligence — with no LinkedIn login, cookies, or browser automation required.

✅ No LinkedIn login required | ✅ Bulk post processing | ✅ Structured JSON output | ✅ High success rate

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Complete Post Data

• Post Content — Full text content, hashtags, and embedded links
• Author Information — User ID, name, headline, profile URL, follower count
• Engagement Metrics — Likes, comments, shares, and reaction counts
• Media Content — Images, videos, and document attachments
• Comment Data — Top visible comments with user details and reactions
• Timestamps — Post date and extraction timestamp
• Post Metadata — Post ID, type, account type, and repost information
• Tagged Users/Companies — Mentions and tagged entities

Key Features

• No Authentication Required — Works without LinkedIn cookies or login
• Bulk Processing — Handle multiple post URLs in one run
• Clean JSON Output — Structured, ready-to-use data format
• Real-time Processing — Monitor extraction progress
• High Reliability — Built-in retry mechanisms and error handling

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🧾 Input Configuration

Submit an array of LinkedIn post URLs via Apify's input:

{
  "urls": [
    "https://www.linkedin.com/posts/williamhgates_my-memoir-source-code-comes-out-next-year-activity-7203756961220165633-nSM2",
    "https://www.linkedin.com/posts/elonmusk_spacex-starship-mars-activity-7189234567890123456-AbC1"
  ]
}

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📤 Output Format

Each post will return comprehensive structured data such as:

{
  "url": "https://www.linkedin.com/posts/williamhgates_my-memoir-source-code-comes-out-next-year-activity-7203756961220165633-nSM2",
  "id": "7203756961220165633",
  "user_id": "williamhgates",
  "use_url": "https://www.linkedin.com/in/williamhgates?trk=public_post_feed-actor-image",
  "title": "My memoir Source Code comes out next year | Bill Gates | 1,941 comments",
  "headline": "I'm excited to announce my new book, Source Code.",
  "post_text": "I'm excited to announce my new book, Source Code. It's a memoir of my early years, from childhood through my decision to leave college and start Microsoft with Paul Allen—and I can't wait to share it with you.",
  "date_posted": "2024-06-04T13:58:18.870Z",
  "hashtags": null,
  "embedded_links": null,
  "images": [
    "https://media.licdn.com/dms/image/sync/v2/D5627AQHipqtAeMwfYA/articleshare-shrink_800/articleshare-shrink_800/0/1717509426427?e=2147483647&v=beta&t=fMg753-uNjmBs9GAPRwiNCkUzlY7LTHXDQXtIw4Ccfo"
  ],
  "videos": null,
  "num_likes": 10597,
  "num_comments": 1941,
  "top_visible_comments": [
    {
      "use_url": "https://pk.linkedin.com/in/john-smith-6ab879384?trk=public_post_comment_actor-name",
      "user_id": "john-smith-6ab879384",
      "user_name": "John Smith",
      "comment_date": "2025-09-17T18:25:50.565Z",
      "comment": "Great 👍",
      "tagged_users": null,
      "num_reactions": 2,
      "user_title": "MERN Stack Developer | TypeScript & Next.js Enthusiast | Building Future-Ready Web Apps",
      "comment_images": null
    }
  ],
  "user_followers": 38885991,
  "user_posts": 1568,
  "user_articles": 275,
  "post_type": "post",
  "account_type": "Person",
  "user_title": "Chair, Gates Foundation and Founder, Breakthrough Energy",
  "author_profile_pic": "https://media.licdn.com/dms/image/v2/D5603AQF-RYZP55jmXA/profile-displayphoto-shrink_400_400/B56ZRi8g.aGsAg-/0/1736826818802?e=2147483647&v=beta&t=r6LJYwKPrJzfFDXVG8qAOoklQnqvEN855sHJ1NxhEAo",
  "external_link_data": [
    {
      "post_external_image": "https://media.licdn.com/dms/image/sync/v2/D5627AQHipqtAeMwfYA/articleshare-shrink_800/articleshare-shrink_800/0/1717509426427?e=2147483647&v=beta&t=fMg753-uNjmBs9GAPRwiNCkUzlY7LTHXDQXtIw4Ccfo",
      "post_external_url": "https://www.gatesnotes.com/Source-Code",
      "post_external_title": "My memoir Source Code comes out next year gatesnotes.com",
      "post_external_description": null
    }
  ],
  "timestamp": "2025-10-01T18:25:50.965Z",
  "input": {
    "url": "https://www.linkedin.com/feed/update/urn:li:activity:7203756961220165633"
  }
}

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📊 Output & Export

Dataset Storage

• All extracted data is stored in your Apify dataset
• Each post becomes one dataset item
• Failed extractions are logged with error details

Export Formats

• JSON — Raw structured data for API integration
• CSV — Spreadsheet-compatible format
• Excel — Formatted spreadsheet with multiple sheets

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💼 Common Use Cases

Social Media Analysis & Research

• Track content performance and engagement trends
• Analyze industry thought leaders and their content strategies
• Monitor competitor social media activities and audience engagement

Content Strategy & Marketing

• Research successful post formats and topics in your industry
• Identify viral content patterns and engagement drivers
• Build content calendars based on successful industry posts

Brand Monitoring & Reputation Management

• Track mentions of your brand across LinkedIn posts
• Monitor industry discussions and sentiment analysis
• Identify potential influencers and brand advocates

Lead Generation & Sales Intelligence

• Find prospects who engage with specific types of content
• Identify decision-makers active in relevant industry discussions
• Track company announcements and business developments

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✅ Example Use

{
  "urls": [
    "https://www.linkedin.com/posts/williamhgates_my-memoir-source-code-comes-out-next-year-activity-7203756961220165633-nSM2"
  ]
}

After execution, the dataset will contain comprehensive post data including content, engagement metrics, comments, and author information.