If you resell clothes, you already know the most useful question on Poshmark: what does this actually sell for? Active listings tell you what people hope to get. Sold listings tell you what buyers paid. Put the two side by side in your own database and you can price inventory, spot underpriced items, and see which closets move stock.

Poshmark doesn't offer a public data API. But the website is a JavaScript app, and the data it shows comes from JSON endpoints that answer plain GET requests without a login. In this post I'll build a small Python Poshmark scraper that:

Searches listings with real filters (department, category, size, condition)

Pulls sold listings and turns them into price comps (25th percentile, median, 75th)

Reads a seller's closet and profile stats

Fetches a single listing by URL

Stores every run in SQLite and reports price drops

One file, one dependency ( requests ).…