LinkedIn Company Posts Scraper — Extract Company Posts in Bulk

Scrape LinkedIn company page posts in bulk. Extract full post text, reactions, comments, reposts, media attachments, documents, and company author details — all structured and ready for analysis.

Why Use This LinkedIn Company Posts Scraper?

• Bulk extraction — Collect thousands of LinkedIn posts from any company page in a single run
• Rich structured data — Get post text, timestamps, engagement stats (likes, comments, reposts), company info, attached media, and documents
• Flexible input — Pass a full LinkedIn company URL, just a universal name, or a company 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
company	string	Yes	—	LinkedIn company page URL, universal name, or URN (e.g. https://www.linkedin.com/company/microsoft, microsoft, or 1035)
maxPosts	integer	No	100	Maximum number of posts to scrape

Usage Examples

Scrape company posts from a company URL

{
    "company": "https://www.linkedin.com/company/microsoft",
    "maxPosts": 50
}

Scrape company posts using just a universal name

{
    "company": "microsoft",
    "maxPosts": 200
}

Output — LinkedIn Company Post Data Structure

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

Field	Type	Description
activity_urn	string	LinkedIn activity URN identifier
full_urn	string	Full LinkedIn activity URN
post_url	string	Direct permalink to the post on LinkedIn
text	string	Full text content of the LinkedIn post
posted_at	object	Post date/time — relative, is_edited, date (UTC), and timestamp (Unix ms)
post_language_code	string	Detected language of the post (e.g. en, tr)
post_type	string	Type of post (regular, repost, quote)
author	object	Company details — name, follower_count, company_url, logo_url
stats	object	Engagement metrics — total_reactions, like, support, love, celebrate, comments, reposts (only non-zero fields included)
media	object | null	Attached media — type (image, video, article), items array. null if no media
document	object | null	Attached document/carousel — title, total_page_count, transcribed_document_url, cover_images. null if no document
source_company	string	The company identifier used to scrape this post

Sample Output

[
    {
        "activity_urn": "7426965716664307712",
        "full_urn": "urn:li:activity:7426965716664307712",
        "post_url": "https://www.linkedin.com/posts/microsoft_phonepe-is-leveraging-ai-...",
        "text": "The #BecomingFrontier journey of PhonePe is about building population-scale platforms...",
        "posted_at": {
            "relative": "47m",
            "is_edited": false,
            "date": "2026-02-10 12:31:12",
            "timestamp": 1770726672287
        },
        "post_language_code": "en",
        "post_type": "regular",
        "author": {
            "name": "Microsoft",
            "follower_count": 27535286,
            "company_url": "https://www.linkedin.com/company/microsoft/posts",
            "logo_url": "https://media.licdn.com/dms/image/v2/D560BAQH32RJQCl3dDQ/company-logo_400_400/..."
        },
        "stats": {
            "total_reactions": 18,
            "like": 18,
            "reposts": 3
        },
        "media": null,
        "document": {
            "title": "PhonePe is leveraging AI to strengthen digital payments...",
            "total_page_count": 8,
            "transcribed_document_url": "https://media.licdn.com/dms/document/...",
            "cover_images": [
                "https://media.licdn.com/dms/image/..."
            ]
        },
        "source_company": "microsoft"
    }
]

Use Cases for LinkedIn Company Post Data

• Competitive intelligence — Monitor what competitors are posting and how their audience engages
• Content strategy analysis — Analyze posting frequency, topics, and content formats of industry leaders
• Engagement benchmarking — Compare reaction counts, comment rates, and repost ratios across companies
• Brand monitoring — Track how companies communicate product launches, strategy shifts, or hiring activity
• Social listening & trend tracking — Spot emerging trends by monitoring what top companies in your industry are discussing
• Sentiment analysis — Feed company post text into NLP pipelines to gauge sentiment around brands or products
• AI & ML training data — Build datasets of professional corporate content for fine-tuning language models