
// what this project was
Turned a live, JS-heavy RU marketplace of ASIC miners into a clean, structured price dataset (88 models). A Python scraper against the live catalog (AJAX loading + pagination), a pandas cleaning pipeline (price parsing, per-algorithm hashrate normalization, dedupe), exported to verifiable Excel/CSV that feeds an e-commerce storefront. Messy, uncomparable listings → an 88-model dataset ready for pricing and analysis. Runs on any site with a repeating structure.
// what I'd do for you
- Scrape live JS-heavy catalogs (AJAX, pagination) into structured data
- Clean & normalize in pandas — parsing, dedupe, per-category rules
- Export verifiable Excel/CSV ready to power a storefront or analysis
- Reusable on any site with a repeating structure
// gallery








































