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💼 LinkedIn Posts Scraper

🚀 Pull LinkedIn posts from any public profile or company page in minutes. Post text, author info, likes, comments, dates, images, top comments. No login.

🕒 Last updated: 2026-05-08 · 📊 15+ fields per post · 👤 Profile + company pages · 🚫 No auth required

Pull live LinkedIn posts from public profiles, company pages, or direct post URLs. The actor walks the LinkedIn feed for each URL you supply, fetches each post's metadata and engagement signals, and returns one structured record per post ready for social-listening, competitive intelligence, content research, or B2B sales workflows.

Every run fetches data live so you get the current state of LinkedIn at run time, not a stale dump. Records include the post URL, post text, author name and headline, post date, like count, comment count, repost count, image URLs, and top comments where exposed.

📋 What the LinkedIn Posts Scraper does

• 📝 Post text. Full post body as displayed on LinkedIn.
• 👤 Author info. Name, headline, profile URL, and avatar.
• 📊 Engagement. Like count, comment count, repost count.
• 📅 Timestamps. Post date and a precise timestamp where exposed.
• 🖼️ Images and media. URLs of any embedded images.
• 💬 Top comments. Sample of top comments where LinkedIn exposes them.

The scraper accepts profile URLs, company URLs, or direct post URLs. It walks the feed for each URL you supply, paginates through posts, and pushes structured records to the dataset. Residential proxies are recommended for reliable LinkedIn access.

💡 Why it matters: LinkedIn is the canonical B2B content surface but its UI is paginated, JS-rendered, and aggressively rate-limited. A live, structured pull beats manual scraping for social listening, competitive intelligence, and B2B lead generation.

🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Salesforce or HubSpot via Apify integrations.

⚙️ Input

Example 1. Posts from a CEO profile.

{
"startUrls":[
{"url":"https://www.linkedin.com/in/satyanadella/"}
],
"maxItems":50
}

Example 2. Posts from multiple company pages.

{
"startUrls":[
{"url":"https://www.linkedin.com/company/microsoft/"},
{"url":"https://www.linkedin.com/company/google/"},
{"url":"https://www.linkedin.com/company/apple/"}
],
"maxItems":100
}

⚠️ Good to Know: LinkedIn aggressively rate-limits scraping. Residential proxies are required for reliable pulls. The default proxyConfiguration uses the Apify residential pool which works out of the box.

📊 Output

The dataset returns one structured record per LinkedIn post. Each record carries identifiers, post text, author info, timestamps, engagement metrics, image URLs, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

📦 Sample records

1. Typical record (CEO post with high engagement)

{
"postId":"urn:li:activity:7234567890",
"postUrl":"https://www.linkedin.com/feed/update/urn:li:activity:7234567890/",
"text":"Excited to share our Q2 results: AI-driven products growing 50%+ YoY. Thanks to our customers and partners for the trust and feedback that drives the work.",
"authorName":"Satya Nadella",
"authorHeadline":"Chairman & CEO at Microsoft",
"authorUrl":"https://www.linkedin.com/in/satyanadella/",
"authorAvatarUrl":"https://media.licdn.com/dms/avatar/satya.jpg",
"publishedAt":"2026-04-12T14:30:00.000Z",
"publishedAgo":"3w",
"likeCount":5240,
"commentCount":312,
"repostCount":847,
"imageUrls":["https://media.licdn.com/dms/post/q2-results.jpg"],
"topComments":[
{"author":"Sundar Pichai","text":"Great results, congrats Satya."},
{"author":"Jensen Huang","text":"Inspiring leadership."}
],
"scrapedAt":"2026-05-08T12:00:00.000Z"
}

2. Company page post (text only)

{
"postId":"urn:li:activity:7300123456",
"postUrl":"https://www.linkedin.com/feed/update/urn:li:activity:7300123456/",
"text":"We are hiring senior engineers in Dublin. Apply at the link below.",
"authorName":"Acme Corp",
"authorHeadline":"Acme Corp",
"authorUrl":"https://www.linkedin.com/company/acme-corp/",
"publishedAt":"2026-05-01T09:00:00.000Z",
"publishedAgo":"1w",
"likeCount":142,
"commentCount":8,
"repostCount":12,
"imageUrls":[],
"topComments":[],
"scrapedAt":"2026-05-08T12:00:00.000Z"
}

3. Sparse record (low-engagement post)

{
"postId":"urn:li:activity:7400000000",
"postUrl":"https://www.linkedin.com/feed/update/urn:li:activity:7400000000/",
"text":"Heading to the conference next week.",
"authorName":"Jane Smith",
"authorHeadline":"Engineering Manager",
"authorUrl":"https://www.linkedin.com/in/jane-smith/",
"publishedAt":"2026-05-07T08:00:00.000Z",
"publishedAgo":"1d",
"likeCount":7,
"commentCount":0,
"repostCount":0,
"imageUrls":[],
"topComments":[],
"scrapedAt":"2026-05-08T12:00:00.000Z"
}

✨ Why choose this Actor

📊 Production-grade structured social data without the engineering overhead of building and maintaining your own scraper.

📈 How it compares to alternatives

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the LinkedIn Posts Scraper page on the Apify Store.
3. 🎯 Add LinkedIn URLs. Paste profile, company, or post URLs into startUrls.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

💼 Business use cases

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🔌 Automating LinkedIn Posts Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

• Node.js - call it via the Apify JS SDK.
• Python - call it via the Apify Python SDK.
• REST - hit it directly through the Apify v2 API.

Schedules. Use Apify Scheduler to capture daily or weekly snapshots of target profiles. Combine with the Apify dataset diff tools to track new posts and engagement velocity between runs.

❓ Frequently Asked Questions

🔌 Integrate with any app

LinkedIn Posts Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend or alert your team in Slack.

🔗 Recommended Actors

• 💼 LinkedIn Profile Scraper - LinkedIn profiles with contact and experience data
• 📸 Instagram Posts Scraper - Instagram posts and reels with metadata
• 🐦 X (Twitter) Scraper - Tweets with engagement and author info
• 📱 Reddit Posts Scraper - Subreddit posts with comments and engagement
• 📱 TikTok Video Scraper - TikTok videos with metadata and engagement

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

🆘 Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.

⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn or Microsoft. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and lead-generation use. Users are responsible for compliance with LinkedIn's Terms of Service, applicable privacy laws, and any data-protection rules that apply.