Price monitoring lives or dies on data quality, and retailers actively cloak: suspicious IPs get stale prices, hidden discounts or CAPTCHAs. Roam residential exits make every check look like a real shopper, while rotating sessions spread thousands of daily checks across the pool. For high-volume feeds where quality matters less, the $0.80/GB datacenter line shares the same wallet.
Residential exits see the same prices, promos and stock levels real shoppers see.
A new exit IP per request spreads heavy monitoring schedules naturally.
Residential $2/GB for tough marketplaces, datacenter $0.80/GB for bulk feeds.
Geo-target to capture country-specific pricing and regional promotions.
# Rotating checks — every price fetch from a fresh residential IP import requests, uuid def check(url): u = f"USER-session-{uuid.uuid4().hex[:8]}" p = f"http://{u}:[email protected]:41080" return requests.get(url, proxies={"http": p, "https": p}, timeout=30)
Define product URLs and the countries whose local prices you need.
Randomize -session-
Tough targets → residential $2/GB. High-volume tolerant feeds → datacenter $0.80/GB.
Run your monitor on cron; balance is metered per GB so idle days cost nothing.
Retailers cloak: known proxy and hosting ranges get default or stale pricing, and promotions may be hidden. Checks from residential IPs receive the genuine shopper-facing page — the price data that's actually true.
A product page is typically 0.5–2MB with assets blocked. Monitoring 1,000 SKUs daily usually stays under 2GB/day — about $4/day on residential, or $1.60 on datacenter.
Start residential for accuracy; move feeds that don't get cloaked onto datacenter to cut costs. Both run on the same balance, so splitting is a one-line change.
Yes — add -country-
No card required. Test your setup on real residential IPs, then pay only for what you use at $2/GB.