Linkedin Post Search Scraper ✅ No cookies avatar
Linkedin Post Search Scraper ✅ No cookies

Pricing

Pay per usage

Go to Apify Store
Linkedin Post Search Scraper ✅ No cookies

Linkedin Post Search Scraper ✅ No cookies

Scrape LinkedIn Posts Data without risking your LinkedIn account

Pricing

Pay per usage

Rating

5.0

(2)

Developer

Aniruddh from clay.wtf

Aniruddh from clay.wtf

Maintained by Community

Actor stats

2

Bookmarked

8

Total users

5

Monthly active users

4 hours ago

Last modified

Share


✨ Overview

Stop risking your personal LinkedIn account. This actor provides a safe, scalable, and cookie-free solution to scrape LinkedIn posts. Whether you need to monitor brand mentions, track competitor content, or generate leads from specific keywords, this scraper delivers structured data ready for analysis.

🔥 Why Choose This Scraper?

FeatureThis ScraperCompetitors
No Cookies Required
Zero Account Risk
Filtered Search (Past 24h, Week)⚠️ Limited
Engagement Metrics (Likes, Comments)⚠️ Partial
Rich Media Extraction (Images/Video)⚠️ Partial

🎯 Use Cases

  • Lead Generation: Find untapped leads discussing specific pain points (e.g., "looking for CRM").
  • Brand Monitoring: Track who is talking about your company or competitors.
  • Content Strategy: Analyze viral posts to understand what drives engagement in your niche.
  • Recruitment: Find candidates actively posting about specific technologies.
  • Market Research: Aggregate industry trends and news in real-time.

� Usage Guide

You can use this scraper in two powerful modes: Search Mode and Profile Mode.

1️⃣ Search Mode (By Keywords)

Perfect for discovering new content and leads.

  1. Keywords: Enter your search terms (e.g., "Artificial Intelligence", hiring remote).
  2. Date Filter: Select a time range to get the freshest content (past-24h, past-week, past-month).
  3. Sort: Results are automatically optimized for relevance and recency.

2️⃣ Profile Mode (By URL)

Perfect for deep-diving into a specific influencer or company.

  1. Search URL: Paste the direct link to a LinkedIn profile.
    • Example: https://www.linkedin.com/in/satjanadella
  2. Limit: Set how many recent posts you want to fetch.

⚙️ Configuration Parameters

Input ParameterTypeDefaultDescription
keywordsString-Keywords to search for. Supports boolean operators (e.g., tech AND startup).
searchUrlString-Direct URL to a LinkedIn search result page or a specific User Profile.
datePostedSelectallFilter posts by date: all, past-24h, past-week, past-month.
limitInteger50Maximum number of posts to scrape. Higher limits may take longer.

� Output Data Structure

The scraper returns a clean, structured JSON object for each run, containing a list of posts with detailed metrics.

{
"success": true,
"keywords": "AI Trends",
"totalPosts": 15,
"posts": [
{
"postUrn": "urn:li:activity:715428...",
"url": "https://www.linkedin.com/feed/update/urn:li:activity:715428.../",
"content": "Just launched our new Generative AI platform! 🚀 #Tech #AI",
"author": {
"name": "Jane Doe",
"profileUrl": "https://www.linkedin.com/in/jane-doe/"
},
"ranking": {
"reactionsCount": 1250,
"commentsCount": 84,
"sharesCount": 112
},
"media_urls": [
"https://media.licdn.com/dms/image/..."
],
"timestamp": "2h",
"postedAt": "2025-01-15T14:30:00.000Z"
}
],
"scrapedAt": "2025-01-15T15:00:00.000Z"
}

Detailed Field Descriptions

  • postUrn: Unique identifier for the post on LinkedIn.
  • content: The full text body of the post, including hashtags.
  • author: Object containing the author's name and profile link.
  • ranking:
    • reactionsCount: Total likes/reactions.
    • commentsCount: Total comments.
    • sharesCount: Total reposts/shares.
  • media_urls: Array of high-resolution images or video thumbnails attached to the post.
  • postedAt: ISO timestamp of when the post was scraped (approximation of post time).

⚡ Performance & Reliability

  • Speed: Scrapes ~50 posts in under 60 seconds.
  • Uptime: 99.9% success rate.
  • Proxies: Integrated residential proxies ensure undetectable scraping.

🆘 Support & Feedback

If you encounter any issues or have feature requests, please check the Issues tab or contact us through the Apify platform.