How to Reduce Storage Costs in High-Volume Data Scraping
Storage costs are the quiet budget leak in high-volume data scraping. The bandwidth bill gets the attention, but raw disk usage is what quietly doubles month over month. Scrape enough pages, store enough payloads, and you’re paying for a bloated data pile that mostly no one ever queries.
The good news: a few structural changes to how you collect, store, and retire data make a measurable dent without touching the quality of what you actually use.