I need a reliable solution that can pull data from LinkedIn and insert it straight into a database I specify. The core requirement is the automated transfer—once the tool finishes scraping, every captured field should already be sitting in the database ready for queries and reporting, no manual copy-paste. You’ll advise me on the best approach to authenticate, respect rate limits, and minimise the risk of blocks while still collecting the typical profile-level details (name, headline, company, location, experience, education, skills and anything else you can legally obtain). I will confirm the final field list before you begin. Key objectives • Build or configure a scraper / API wrapper that logs in, navigates to each target profile and captures the agreed-upon fields • Write clean code with clear comments so I can maintain it later • Save each record directly into a relational table (MySQL or PostgreSQL—let me know which you prefer) using prepared statements to prevent SQL injection • Provide a simple configuration file where I can switch credentials, database connection strings and add new profile URLs without touching the core logic Acceptance criteria • I point the tool at 10 test profiles; all mapped fields appear in the database exactly once with no missing characters • A command-line log or dashboard shows progress and any errors in real time • You hand over the source code, a README with setup steps, and a sample SQL schema Experience with Python (Selenium, Playwright or similar), LinkedIn APIs, and database integration will be highly valued. Let me know your preferred stack, any relevant past projects, and the estimated timeframe to deliver a working prototype.