Linkedin Post Comments Scraper (No Cookie)

🔍 What is LinkedIn Post Comments Scraper? LinkedIn Post Comments Scraper automates the process of gathering publicly available comments from LinkedIn ppost. Simply provide one or more LinkedIn post URLs or URNs, and the scraper will fetch comprehensive comment details such as: Comment Content: - Comment text and content - Comment URLs and timestamps - Commenter information (name, headline, profile picture) - Comment statistics (likes, replies, reactions) Engagement Data: - Total reaction counts - Individual reaction types (like, appreciation, empathy, interest, praise) - Reply counts - Comment timestamps (both absolute and relative) - Pinned comment status Pagination Support: - Configurable maximum comments per profile All extracted data is limited strictly to public information—nothing private or sensitive is collected. 💡 Why Scrape LinkedIn Profile Comments? LinkedIn comments provide valuable insights for professionals and businesses: 🔎 Engagement Analysis: Analyze what types of comments generate the most engagement and responses. 🧠 Community Insights: Understand community sentiment and discussion patterns around specific topics. 📈 Social Listening: Monitor conversations and reactions to industry content and trends. 🤝 Relationship Building: Identify active community members and potential networking opportunities. 📊 Content Strategy: Research what content generates meaningful discussions and engagement. 🎯 Brand Monitoring: Track mentions and sentiment around your brand or industry topics. ⚖️ Is it Legal to Scrape LinkedIn Comments? We prioritize ethical scraping practices. This scraper only extracts information that users have chosen to display publicly on their LinkedIn profiles. 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 profile URLs - Username: 123456789 - URL: https://linkedin.com/post/example-post 2. Comments Limit: Set maximum number of comments to scrape per profile (minimum 10) 3. Error Handling: Invalid post URNs, or malformed URLs will be logged as errors in the dataset 4. Freemium Limits: Free users are limited to 4 profiles per run with maximum 100 comments per profile 📊 Output Data Structure The scraper returns comprehensive comment data including: - Comment Content: Text, URLs, timestamps, and metadata - Author Info: Name, headline, profile picture, and profile URL - Engagement: Reaction counts, replies, and interaction data 🔧 Technical Features - Error Handling: Comprehensive error reporting for failed requests - Resume Capability: Can resume interrupted scraping sessions - Concurrent Processing: Multiple workers for efficient data collection ⚠️ Important Notes - Only LinkedIn posts are supported (other URLs will return errors) - All data is publicly available information only - Free tier limited to 4 profiles per run with maximum 100 comments per profile - Premium users have no limits - Minimum 10 comments per profile (configurable maximum)