Korean e-commerce is one of the richest, least-scraped data sources on the web. K-beauty and K-fashion drive billions in global demand, but almost every tutorial you find scrapes Amazon or Shopify — because the Korean platforms sit behind a double wall: the language, and some genuinely annoying anti-bot setups. I spent a while getting reliable, structured data out of the three that matter most — …
If you work with Pandas, PyArrow, DuckDB, Spark, Polars, or data APIs, you’ve probably heard that Apache Arrow is fast because it is in-memory and columnar . That’s true, but just like Parquet, the real value starts to click when you understand how Arrow is physically organized . Under the hood, an Arrow file is not just “serialized table data.” It is a structured binary format built around schem…
