Enhance output formatting in run.py by pretty-printing JSON results. Update uv.lock to include new dependencies and revisions, and adjust package markers for compatibility. Comment out debug logging in llm_extractor.py to reduce verbosity. Refactor import statement in main.py for consistency.

Refactor LinkedInAuthHandler and ProfileScraper to comment out random sleep calls, improving code clarity and potentially enhancing performance during login and profile scraping processes.

Remove test.html file, cleaning up the project structure by eliminating unnecessary HTML content.

Implement LLM extraction for LinkedIn profiles and companies, enhancing data quality. Update README.md with new command line options and usage examples. Refactor scraping logic to support HTML extraction and improve logging setup. Add new models for profile data and update dependencies in pyproject.toml.

Add References section to README.md with links to related open-source projects for user guidance and inspiration.

Enhance README.md with improved formatting and emoji icons for better readability and user engagement. Updated sections include Installation, Configuration, Usage, Command Line Options, Examples, Output, and Notes.

Refactor AntiDetectionHandler to streamline WebGL and navigator property modifications, removing unnecessary comments and enhancing code clarity.

Update README.md to include instructions for activating the virtual environment after running `uv sync`

Add section on LLM extraction of company information in README.md

Remove redundant header from README.md

Initial implementation of the project structure and basic functionality.

first commit