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.
-
Updated
Apr 28, 2025 - Jupyter Notebook