Linkedin Posts Search Scraper (No Cookie)

🔍 What is LinkedIn Posts Search Scraper? LinkedIn Posts Search Scraper automates the process of searching and gathering publicly available posts from LinkedIn using keyword-based queries. Simply provide a search keyword, and the scraper will fetch comprehensive post details from search results 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) Search Features: - Keyword-based search across LinkedIn posts - Sort by date posted or relevance - Date filtering (past 24h, past week, past month) All extracted data is limited strictly to public information—nothing private or sensitive is collected. 💡 Why Search LinkedIn Posts? LinkedIn post search provides valuable insights for professionals and businesses: 🔎 Content Discovery: Find trending posts and discussions around specific topics or keywords. 🧠 Market Research: Monitor industry conversations and trending topics in real-time. 📈 Lead Generation: Identify potential clients through their content interests and engagement patterns. 🤝 Content Strategy: Research what content performs well for specific keywords and topics. 📊 Competitive Analysis: Track how competitors discuss certain topics and their engagement. 🎯 Social Listening: Monitor brand mentions, industry discussions, and trending topics. ⚖️ Is it Legal to Search LinkedIn Posts? We prioritize ethical scraping practices. This scraper only extracts information that users have chosen to display publicly on LinkedIn. 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. Search Keyword: Provide the keyword to search for in LinkedIn posts - Example: artificial intelligence, marketing trends, job opportunities 2. Page Number: Set the page number for pagination (starts with 1) 3. Sort Options: Choose how to sort results - date_posted: Sort by publication date (newest first) - relevance: Sort by relevance to the search keyword 4. Date Filter: Filter posts by publication date - past-24h: Posts from the last 24 hours - past-week: Posts from the last week - past-month: Posts from the last month 📊 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 - Search Metadata: Keyword used 🔧 Technical Features - Keyword Search: Search across LinkedIn posts using specific keywords - Input Validation: Validates search parameters and provides defaults - Sorting Options: Sort results by date or relevance - Date Filtering: Filter results by publication timeframe - Error Handling: Comprehensive error reporting for failed requests - Search Metadata: Track search parameters with each result ⚠️ Important Notes - All data is publicly available information only - Free tier users have rate limits - Free tier limited to 4 keywords per run with maximum 50 posts per keyword (12 Keyword in total) - To unlock unlimited scraping, subscribe to a paid plan