{"repo":"theaifutureguy/Linked-in-Scraping","free":true,"listed":false,"github":"https://github.com/theaifutureguy/Linked-in-Scraping","clone":"git clone https://github.com/theaifutureguy/Linked-in-Scraping.git","description":"A Python-based web application that automates LinkedIn job scraping and provides an intelligent job management interface. It helps job seekers efficiently track, filter, and manage job applications while avoiding duplicate and irrelevant postings.","language":"Python","stars":20,"topics":["flask","python","scraping","selenium","sqlite"],"license":null,"category":"scrapers-browser-automation","readme_excerpt":"LinkedIn Job Scraper A Python-based web application that automates LinkedIn job scraping and provides an intelligent job management interface. This tool helps job seekers efficiently track, filter, and manage job applications while avoiding duplicate and irrelevant postings. Overview Job searching on LinkedIn can be frustrating due to repetitive results, irrelevant postings, and poor sorting algorithms. This application addresses these pain points by: - Eliminating duplicates : No more seeing the same job posting multiple times - Smart filtering : Remove irrelevant jobs based on customizable keywords - Chronological sorting : Jobs sorted by actual posting date, not LinkedIn's relevance algorithm - Application tracking : Mark jobs as applied, rejected, interview, or hidden - Clean interface : No sponsored posts or algorithmic noise ⚠️ Important Legal Notice LinkedIn's Terms of Service prohibit automated scraping of their platform. Use this tool at your own risk and discretion. Consider using proxy servers to minimize detection risk. Features - Automated Scraping : Configurable search queries with multiple filter options - Database Storage : SQLite database for persistent job data storage - Web Interface : Clean, responsive Flask-based UI for job management - Advanced Filtering : Filter by title keywords, company names, job descriptions, and languages - Application Status Tracking : Visual indicators for application status - Proxy Support : Built-in proxy configuration for enha","default_branch":null,"files":null,"tree":[],"storefront":"/r/theaifutureguy","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/theaifutureguy/Linked-in-Scraping/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}