💼 LinkedIn Posts Scraper

Whether you're a content strategist studying what performs best on LinkedIn, a recruiter tracking thought leaders, or a sales team monitoring prospect activity, this actor makes it easy to collect structured post data from any public LinkedIn profile or company page — no login required.

The LinkedIn Posts Scraper extracts posts, engagement metrics, and top comments from any public profile or company page, with parallel batch processing for speed, plus full video and article support.

✨ What Does It Do

• 📝 Post Content & Headlines — Captures the full post text and headline, so you can analyze messaging patterns and content strategy across profiles
• 👤 Author Details — Extracts author names, profile URLs, and profile pictures to track who's publishing what
• 📊 Engagement Metrics — Collects like counts and comment counts for every post, letting you identify top-performing content instantly
• 💬 Top Comments — Pulls the most engaged comments with author names, text, dates, and like counts for deeper conversation analysis
• 🎥 Video & Article Support — Handles all post types including video posts with direct video URLs, articles, and standard text posts
• 🖼️ Media Extraction — Captures post images and video thumbnails for visual content analysis
• ⚡ Parallel Processing — Fetches all profiles and posts concurrently for maximum speed across large batches

🎬 Demo Video

Coming soon

🔧 Input

LinkedIn URLs — Add one or more LinkedIn URLs. The scraper accepts profile URLs like https://www.linkedin.com/in/satyanadella/, company URLs like https://www.linkedin.com/company/microsoft/, or direct post URLs. You can mix all types in a single run.

Max Items — Set the maximum number of posts to collect. Free users are limited to 10 items as a preview. Paid users can collect up to 1,000,000 posts.

Proxy Configuration — Residential proxies are recommended for reliable extraction from LinkedIn.

{
    "startUrls": [
        { "url": "https://www.linkedin.com/in/satyanadella/" },
        { "url": "https://www.linkedin.com/company/microsoft/" }
    ],
    "maxItems": 100,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

📊 Output

Field	Example
🔗 Post URL	https://www.linkedin.com/posts/satyanadella_...
👤 Author URL	https://www.linkedin.com/in/satyanadella
🖼️ Author Image	https://media.licdn.com/dms/image/...
📷 Image URL	https://media.licdn.com/dms/image/...
🎥 Video URL	https://dms.licdn.com/playlist/vid/...
📋 Post Type	video / article / text
✍️ Author	Satya Nadella
📰 Headline	This is a great example of why we do what we do.
💬 Text	We've trained a multimodal AI model to...
👍 Likes	5190
💬 Comments	387
🗨️ Top Comments	[{author, text, date, likes}, ...]
📅 Date Published	2026-03-15T13:51:45.920Z
🕐 Scraped At	2026-03-27T12:00:00.000Z

{
    "postUrl": "https://www.linkedin.com/posts/satyanadella_activity-7438945037855633409-D3QV",
    "authorUrl": "https://www.linkedin.com/in/satyanadella",
    "authorImageUrl": "https://media.licdn.com/dms/image/...",
    "imageUrl": "https://media.licdn.com/dms/image/...",
    "videoUrl": "https://dms.licdn.com/playlist/vid/...",
    "postType": "video",
    "authorName": "Satya Nadella",
    "headline": "This is a great example of why we do what we do.",
    "text": "We've trained a multimodal AI model to turn routine pathology slides into spatial proteomics...",
    "likeCount": 5190,
    "commentCount": 387,
    "topComments": [
        {
            "author": "Jane Smith",
            "text": "This is where AI shows its real value...",
            "date": "2026-03-15T13:59:28.535Z",
            "likes": 5
        }
    ],
    "datePublished": "2026-03-15T13:51:45.920Z",
    "scrapedAt": "2026-03-27T12:00:00.000Z"
}

💎 Why Choose the LinkedIn Posts Scraper?

Feature	Our Actor	Alternatives
Top comments with likes	✅	❌
Video URLs & thumbnails	✅	⚠️ Partial
Parallel batch processing	✅	❌
Profile + company + post URLs	✅	⚠️ Profile only
No login required	✅	⚠️ Some require login
Article support	✅	⚠️ Partial
Free plan preview	✅ 10 items	❌

📋 How to Use

1. Sign Up — Create your free Apify account at console.apify.com/sign-up and get $5 in free credits to start scraping immediately.
2. Configure — Add your LinkedIn profile, company, or post URLs and set the maximum number of posts you want to collect.
3. Run It — Click "Start" and the scraper fetches all pages and posts in parallel, extracting structured data with engagement metrics and comments.

That's it. No coding, no setup, no LinkedIn login. Your structured post data is ready to download or integrate with any app.

🎯 Business Use Cases

• 📈 Content Strategists — Analyze which post formats, topics, and headlines drive the most engagement across industry thought leaders to inform your own LinkedIn content calendar.
• 🔍 Sales Teams — Monitor prospect and target company activity on LinkedIn to identify trigger events, shared interests, and conversation starters for personalized outreach.
• 🏢 Competitive Intelligence — Track competitor company pages and executive profiles to understand their messaging, product announcements, and audience engagement patterns.
• 🎓 Researchers — Collect large datasets of professional discourse on specific topics for academic analysis, trend studies, or sentiment research.
• 📊 Marketing Agencies — Generate performance reports for clients by extracting engagement data from their LinkedIn presence and comparing it against industry benchmarks.
• 🤖 Data Scientists — Feed structured LinkedIn post data into NLP models for topic modeling, sentiment analysis, or engagement prediction at scale.

❓ FAQ

• 🔒 Do I need a LinkedIn account to use this scraper? No. The scraper accesses publicly available LinkedIn data without any login or authentication.

• 📊 How many posts can I collect per profile? The scraper collects all publicly visible posts from a profile's recent activity feed. Typically this includes the most recent 20-50 posts depending on the profile's activity level.

• 🏢 Can I scrape company pages? Yes. Add company URLs like https://www.linkedin.com/company/microsoft/ and the scraper will extract posts from the company's feed.

• 💬 Why are some comment authors null? LinkedIn occasionally omits author information from comments in their public data. This happens when users have restricted their profile visibility.

• ⚡ How fast is the scraper? Very fast. It uses parallel processing to fetch all profiles and posts concurrently. A batch of 10 profiles typically completes in under 30 seconds.

• 🔄 Can I scrape individual post URLs directly? Yes. You can add direct post URLs alongside profile and company URLs in the same run. The scraper handles all three URL types.

🔗 Integrate LinkedIn Posts Scraper with any app

• Make — Connect LinkedIn post data to thousands of apps with visual automation workflows
• Zapier — Trigger actions in your CRM or notification tools when new LinkedIn posts are detected
• GitHub — Version control your scraper configurations and track changes over time
• Slack — Get instant Slack alerts when target profiles publish new content
• Airbyte — Stream LinkedIn post data directly into your data warehouse for analysis
• Google Drive — Automatically export post datasets to Google Drive for team collaboration

💡 More ParseForge Actors

• LinkedIn Company Profiles Scraper — Extract company details, employee counts, specialties, and industry data from LinkedIn company pages
• Facebook Reviews Scraper — Collect customer reviews, recommendation status, and engagement metrics from Facebook business pages
• Instagram Reel Scraper — Extract reel metadata, captions, engagement metrics, and audio details from Instagram

Browse our complete collection at apify.com/parseforge

🚀 Ready to Start?

Sign up for free and start collecting LinkedIn posts in minutes.

🆘 Need Help?

• 📖 Check the FAQ section above for common questions
• 📚 Visit Apify documentation for platform guides
• 💬 Contact us for custom scraping solutions or technical support

⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or associated with LinkedIn or Microsoft Corporation. It accesses only publicly available data in compliance with applicable laws.