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This project scrapes and analyzes auction data from Christie's and Sotheby's using Python, Selenium, and Pandas. It explores factors influencing artwork prices, particularly auction house estimates and artist popularity (measured via Yahoo search trends). It includes multi-stage scrapers, data cleaning notebooks, and exploratory data analysis.
This is a personal project to enhance my skills in software development and LLM integration. This app is designed to scrape linkedin job feed using Beautifulsoup4 and store it in a Postgres database. Upon selecting a job, the user can generate a cover letter based on the job description and uploaded CV.
WebGroper is a Python class designed to recursively scrape and download media files (images, PDFs, etc.) from a specified website directory, such as the /wp-content/uploads directory of a WordPress site.