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LinkedIn Post Search Scraper

The ultimate LinkedIn Post Scraper and Search Extractor on Apify. Scrape and extract LinkedIn posts in bulk using keywords, LinkedIn search URLs, or specific filters. Extract full post text, reactions, comments, reposts, media attachments, and author details — all structured, paginated, and ready for analysis.

Why Use This LinkedIn Post Scraper?

• Bulk extraction — Collect thousands of LinkedIn posts from any search query in a single run.
• Rich structured data — Get post text, timestamps, engagement stats (likes, comments, reposts), author info, and attached media.
• Advanced Flexible Input — Search by keywords, pass a full LinkedIn search URL, or use advanced filters like content type, date posted, author industry, and more.
• Automatic Pagination — No manual scrolling or page handling; the scraper fetches all posts up to your specified limit automatically.
• Export-ready — Download extracted LinkedIn posts as JSON, CSV, Excel, XML, or any format supported by Apify.

Input: How to Scrape LinkedIn Posts

You can configure the actor to scrape posts using either keywords, a LinkedIn search URL, or specific filters.

Search Parameters

* At least one of keywords or searchUrl must be provided.

Filters & Sort Options

Refine your LinkedIn post search with these advanced filters:

Usage Examples

1. Search LinkedIn Posts by Keywords with Filters

{
"keywords":"machine learning",
"maxPosts":50,
"sortBy":"date_posted",
"datePosted":"past-week"
}

2. Scrape Posts Using a LinkedIn Search URL

{
"searchUrl":"https://www.linkedin.com/search/results/content/?keywords=nodejs&sortBy=date_posted",
"maxPosts":200
}

Output — LinkedIn Post Data Structure

The scraper produces a dataset where each item is a detailed LinkedIn post structure:

Sample Output Data

[
{
"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...",
"url":"https://www.linkedin.com/posts/...",
"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/..."
}
}
]

Top Use Cases for LinkedIn Post Scraper Tool

• LinkedIn Content Analysis & Strategy — Analyze posting frequency, popular topics, and content strategies of industry leaders, influencers, or competitors.
• Engagement Benchmarking — Compare LinkedIn reaction counts, comment rates, and repost ratios across specific keywords to benchmark social media performance and ROI.
• B2B Lead Generation — Identify and extract prospects who actively post about specific topics, tools, or industries on LinkedIn, empowering targeted outreach.
• Social Listening & Trend Tracking — Monitor what key voices in your industry are discussing to spot emerging trends, pain points, and market shifts early.
• Sentiment Analysis & Natural Language Processing (NLP) — Feed scraped LinkedIn post datasets into NLP pipelines to gauge public sentiment around specific brands, products, or events.
• Influencer Research & Discovery — Evaluate potential LinkedIn influencer partnerships by efficiently analyzing their historical content output, engagement metrics, and audience reach.
• Competitive Intelligence — Track how competitor executives and companies communicate product launches, strategy shifts, or hiring activity directly on their LinkedIn feeds.
• AI & ML Training Data Collection — Build high-quality datasets of professional, industry-specific text content for fine-tuning Large Language Models (LLMs) and custom AI applications.