LinkedIn Company Posts Scraper – No Cookies

🔍 What is LinkedIn Company Posts Scraper?

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

Post Content:

• Post text and content
• Post URLs and timestamps
• Author information (name, headline, profile picture)
• Post statistics (likes, comments, reposts, reactions)

Media Content:

• Images with dimensions and URLs
• Article links and titles
• Video content references

Engagement Data:

• Total reaction counts
• Individual reaction types (like, appreciation, empathy, interest, praise)
• Comment and repost counts
• Post timestamps (both absolute and relative)

Pagination Support:

• Automatic pagination handling
• Configurable maximum posts per company
• Efficient data collection with rate limiting

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

💡 Why Scrape LinkedIn Company Posts?

LinkedIn posts provide valuable insights for professionals and businesses:

🔎 Content Analysis: Analyze what content performs well in your industry or niche.

🧠 Competitive Intelligence: Monitor competitors' content strategies and engagement patterns.

📈 Lead Generation: Identify potential clients through their content interests and engagement.

🤝 Content Strategy: Research trending topics and content formats in your field.

📊 Engagement Research: Study successful posts to improve your own content strategy.

🎯 Social Listening: Monitor industry discussions and trending topics.

⚖️ Is it Legal to Scrape LinkedIn Posts?

We prioritize ethical scraping practices.

This scraper only extracts information that users have chosen to display publicly on their LinkedIn companies. 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 usernames or full company URLs

   • Username: example-user
   • URL: https://linkedin.com/in/example-user
   • URL: linkedin.com/in/example-user

2. Posts Limit: Set maximum number of posts to scrape per company (minimum 10)

3. Rate Limits: The scraper respects LinkedIn's rate limits with 30 requests per minute

4. Error Handling: Invalid usernames, personal profiles, or malformed URLs will be logged as errors in the dataset

5. Freemium Limits: Free users are limited to 4 cpmpanies per run with maximum 100 posts per company

📊 Output Data Structure

The scraper returns comprehensive post data including:

• Post Content: Text, URLs, timestamps, and metadata
• Author Info: Name, headline, profile picture, and profile URL
• Engagement: Reaction counts, comments, reposts, and interaction data
• Media: Images, articles, and other media attachments
• Pagination: Page numbers and pagination tokens for data organization

🔧 Technical Features

• URL Processing: Automatically converts LinkedIn URLs to usernames
• Input Validation: Validates usernames and detects personal profiles
• Pagination Handling: Automatic pagination with configurable limits
• Error Handling: Comprehensive error reporting for failed requests
• Rate Limiting: Built-in delays to respect API limits
• Resume Capability: Can resume interrupted scraping sessions
• Concurrent Processing: Multiple workers for efficient data collection

⚠️ Important Notes

• Only LinkedIn companies are supported (personal profile pages will return errors)
• All data is publicly available information only
• Respects LinkedIn's terms of service and rate limits
• Free tier limited to 4 companies per run with maximum 100 posts per company
• Premium users have no limits
• Minimum 10 posts per company (configurable maximum)