Linkedin Post Scraper (No Cookie)

🔍 What is LinkedIn Post Scraper?

LinkedIn Post Scraper automates the process of gathering publicly available data from LinkedIn posts. Simply provide one or more LinkedIn post URLs, and the scraper will fetch comprehensive post details such as:

Post Content:

• Post text content and headline
• Author information (name, profile URL, profile picture, followers, cover image)
• Post metadata (date published, post ID, activity URN)

Engagement Data:

• Likes and comments count
• Individual comments with author information and timestamps
• Comment likes and engagement

Media & Tags:

• Post images
• Hashtags used in the post
• Mentions of other LinkedIn users or companies

All extracted data is limited strictly to public information—nothing private or sensitive is collected.

💡 Why Scrape LinkedIn Posts?

LinkedIn post data provides valuable insights for professionals and businesses:

🔎 Content Analysis: Analyze post content, structure, and messaging strategies.

🧠 Engagement Tracking: Monitor likes, comments, and overall engagement metrics.

📈 Social Listening: Track how topics, brands, or industries are discussed on LinkedIn.

🤝 Competitor Research: Analyze competitor posts and engagement strategies.

📊 Content Strategy: Research what content performs well and identify trends.

🎯 Brand Monitoring: Track mentions of your brand and monitor brand sentiment.

⚖️ Is it Legal to Scrape LinkedIn Reactions?

We prioritize ethical scraping practices.

This scraper only extracts information that users have chosen to display publicly on their LinkedIn posts. It does not access private data, restricted content, or information behind login walls. All data collection follows LinkedIn's robots.txt guidelines and respects rate limits.

🚀 How to Use

1. Input Format: Provide LinkedIn post URLs

   • URL: https://www.linkedin.com/posts/linkedin_add-job-preferences-activity-7208418413906464769-P2hn

2. Multiple Posts: You can provide multiple post URLs in an array to scrape multiple posts in one run

3. Error Handling: Invalid post URLs or malformed URLs will be logged as errors in the dataset

4. Resume Capability: The scraper can resume from where it left off if interrupted

📊 Output Data Structure

The scraper returns comprehensive post data including:

• Post Content: Full text content, headline, and metadata
• Author Info: Name, profile URL, profile picture, followers count, cover image
• Engagement: Likes and comments count
• Comments: Individual comments with author info, text, dates, and likes
• Media: Post images
• Tags: Hashtags and mentions extracted from the post

🔧 Technical Features

• Error Handling: Comprehensive error reporting for failed requests
• Resume Capability: Can resume interrupted scraping sessions

⚠️ Important Notes

• Only LinkedIn posts are supported (other URLs will return errors)
• All data is publicly available information only
• The scraper extracts data from publicly accessible LinkedIn post pages
• Rate limiting is applied to respect LinkedIn's servers

Input Schema

{
  "post_urls": [
    "https://www.linkedin.com/posts/linkedin_add-job-preferences-activity-7208418413906464769-P2hn",
    "https://www.linkedin.com/posts/another-post-url"
  ]
}