Blog
How to build a price monitoring pipeline that produces comparable data: storefront modelling, observation points, cadence, cost tiering and the context fields most teams forget to record.
A working guide to rotating proxies in Python with requests, httpx and Scrapy — session handling, retry logic, response classification and the mistakes that quietly waste traffic budget.
A cost-first comparison of residential and datacenter proxies: how detection actually works, what each type costs per successful row, and a tiering pattern that usually cuts the bill by two thirds.
Why swapping IPs stops working, and what else your crawler is broadcasting: TLS fingerprints, header order, HTTP/2 settings, timing patterns and the consistency rules that keep sessions alive.
Put reliable infrastructure behind your data operation and let it scale with you.
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