MVP Developer for Scalable LinkedIn Scraping API

We are looking for an experienced developer to create an MVP version of a scalable API designed to scrape public LinkedIn data in real-time, such as names, job titles, companies, locations, and LinkedIn URLs. The system must be efficient, scalable, and incorporate robust measures to handle LinkedIn's anti-scraping mechanisms. Key responsibilities include implementing anti-bot protections (e.g., proxies, headless browsers, user-agent rotation), designing an efficient architecture for scalability, and providing a simple storage solution for the extracted data. The API should take a LinkedIn URL as input and return structured profile data. Strong experience in web scraping, overcoming bot detection systems, and building scalable APIs is required. Familiarity with proxy services and cloud deployment is essential. If you have relevant experience, we’d love to hear how you’d handle anti-bot detection and see examples of similar projects you’ve completed.