💼 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.

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.

👥 Built for	🎯 Primary use cases
Marketing and content teams	Track competitor posting cadence and engagement
Social listening	Monitor brand mentions and executive activity
Sales and BD teams	Source warm leads from engagement on target posts
Recruiters	Track talent discussions and thought leadership
Researchers	Study B2B social trends and discussion topics
PR and comms	Map media presence and message resonance

📋 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.

📊 Data fields

Each record includes: authorImageUrl, authorName, authorUrl, commentCount, datePublished, headline, imageUrl, likeCount, postType, postUrl, scrapedAt, text, topComments, videoUrl. All 14 field names come from a real production run, so what you see here is what lands in your dataset.

🚀 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.

🔗 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.

⚠️ 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.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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