I need a reliable way to collect public data from LinkedIn user profiles and export it into an analysis-ready format. The focus is strictly on three elements: contact information, detailed work history, and all listed skills with their corresponding endorsements. I am not interested in company pages or job ads—only individual profiles. The solution can be a Python script, a lightweight application, or an API workflow, as long as it runs on my own machine without triggering LinkedIn’s usual rate-limits or captchas. Headless browsing tools such as Selenium or Playwright are fine, and wrapping calls in a rotating proxy or similar approach is acceptable if that keeps the session stable. Deliverables • A working scraper with setup instructions • Clear documentation of any libraries or third-party services used • Output in CSV or JSON, properly structured so I can feed it straight into my data analysis pipeline Before delivery I’d like a short demo run—say, ten sample profiles—so I can verify that contact details, career chronology, and skills/endorsement counts are all captured accurately.