LinkedIn Post Scraper — Extract Any User's Posts @ $3/1000 posts

Scrape LinkedIn posts from any user profile in bulk. Extract full post text, reactions, comments, reposts, media attachments, and author details — all structured and ready for analysis.

Why Use This LinkedIn Post Scraper?

• Bulk extraction — Collect thousands of LinkedIn posts from any profile in a single run
• Rich structured data — Get post text, timestamps, engagement stats (likes, comments, reposts), author info, and attached media
• Flexible input — Pass a full LinkedIn profile URL, just a username, or a LinkedIn URN
• Automatic pagination — No manual scrolling or page handling; the scraper fetches all posts up to your specified limit
• Export-ready — Download results as JSON, CSV, Excel, or any format supported by Apify

Input

Field	Type	Required	Default	Description
profile	string	Yes	—	LinkedIn profile URL, username, or URN (e.g. https://www.linkedin.com/in/satyanadella)
maxPosts	integer	No	100	Maximum number of posts to scrape

Usage Examples

Scrape LinkedIn posts from a profile URL

{
    "profile": "https://www.linkedin.com/in/satyanadella",
    "maxPosts": 50
}

Scrape LinkedIn posts using just a username

{
    "profile": "satyanadella",
    "maxPosts": 200
}

Output — LinkedIn Post Data Structure

Each run produces a dataset where every item is a LinkedIn post with the following fields:

Field	Type	Description
urn	object	LinkedIn URNs for the post (activity_urn, share_urn, ugcPost_urn)
full_urn	string	Full LinkedIn activity URN identifier
posted_at	object	Post date and time — includes date (ISO format), relative (human-readable), and timestamp (Unix ms)
text	string	Full text content of the LinkedIn post
url	string	Direct permalink to the post on LinkedIn
post_type	string	Type of post (e.g. regular)
author	object	Author details — first_name, last_name, headline, username, profile_url, profile_picture
stats	object	Engagement metrics — total_reactions, like, support, love, insight, celebrate, funny, comments, reposts
media	object | null	Attached media — type (video, image, etc.), url, thumbnail. null if no media is attached

Sample Output

[
    {
        "urn": {
            "activity_urn": "7420485585376620544",
            "share_urn": null,
            "ugcPost_urn": "7420485424273416192"
        },
        "full_urn": "urn:li:activity:7420485585376620544",
        "posted_at": {
            "date": "2026-01-29 11:54:39",
            "relative": "1 week ago • Visible to anyone on or off LinkedIn",
            "timestamp": 1769687679069
        },
        "text": "So much of dev work happens in the context of a larger team, and now you can bring all of that work context into the GitHub Copilot CLI with Work IQ.\n\nTry it out: https://lnkd.in/gGPd-FWr",
        "url": "https://www.linkedin.com/posts/satyanadella_so-much-of-dev-work-happens-in-the-context-activity-7420485585376620544-vudJ",
        "post_type": "regular",
        "author": {
            "first_name": "Satya",
            "last_name": "Nadella",
            "headline": "Chairman and CEO at Microsoft",
            "username": "satyanadella",
            "profile_url": "https://www.linkedin.com/in/satyanadella",
            "profile_picture": "https://media.licdn.com/dms/image/..."
        },
        "stats": {
            "total_reactions": 1749,
            "like": 1518,
            "support": 13,
            "love": 50,
            "insight": 83,
            "celebrate": 82,
            "funny": 3,
            "comments": 154,
            "reposts": 174
        },
        "media": {
            "type": "video",
            "url": "https://dms.licdn.com/playlist/vid/...",
            "thumbnail": "https://media.licdn.com/dms/image/..."
        }
    }
]

Use Cases for LinkedIn Post Data

• LinkedIn content analysis — Analyze posting frequency, topics, and content strategy of industry leaders or competitors
• Engagement benchmarking — Compare LinkedIn reaction counts, comment rates, and repost ratios across profiles to benchmark social media performance
• Lead generation — Identify prospects who actively post about specific topics or industries on LinkedIn
• Social listening & trend tracking — Monitor what key people in your industry are talking about and spot emerging trends early
• Sentiment analysis — Feed LinkedIn post text into NLP pipelines to gauge sentiment around brands, products, or topics
• Influencer research — Evaluate potential LinkedIn influencer partners by analyzing their content output and audience engagement
• Competitive intelligence — Track how executives and companies communicate product launches, strategy shifts, or hiring activity on LinkedIn
• AI & ML training data — Build datasets of professional content for fine-tuning language models on industry-specific topics