Track competitor pricing exactly as local shoppers see it
Accurate, geo-correct pricing data on a schedule you control.
340
cities with residential coverage
99.4%
success on major retailers
< 1 s
typical page fetch
Retail prices are not a single number. The same SKU shows a different figure depending on the visitor's country, city, device, loyalty status and sometimes the weather. A price scraped from a datacenter IP in Virginia tells you almost nothing about what a shopper in Manchester is being charged.
Worse, retailers actively serve stale or inflated prices to traffic they suspect is automated. You end up making margin decisions on numbers that were never real.
Residential exits in the exact market you care about return the same page a genuine local shopper loads, including regional promotions, local currency and delivery-inclusive totals.
City-level targeting matters more than most teams expect. Grocery, fuel, pharmacy and marketplace pricing frequently varies between metros in the same country.
How proxies solve it
Geo-accurate to the city
Pull Berlin pricing from a Berlin household connection rather than a Frankfurt data centre.
Avoid anti-scraping price masking
Residential traffic is not served the degraded, cached or inflated variants that suspected bots receive.
Consistent baskets
Sticky sessions keep the currency, delivery region and cart state stable across a multi-step checkout probe.
Schedule without penalty
Rotating exits let you re-check high-velocity SKUs hourly without any single address building a suspicious pattern.
Which proxy to use
Residential Proxies
Route requests through consenting home broadband connections. The hardest pool to detect, and the one to reach for when a target actively fingerprints its traffic.
from $3.10 / GB
Also consider
How we would build it
- 1
Define your market matrix
List the country and city pairs that actually drive pricing decisions. Most teams over-collect here.
- 2
Build one session per basket
Use a sticky session for each product-page-to-checkout probe so shipping and tax stay consistent.
- 3
Capture the total, not the sticker
Delivery, tax and promotional stacking are where competitors hide margin. Scrape the basket, not the PDP.
- 4
Re-run on a jittered schedule
Randomise collection times within your window so your fingerprint is not a perfect hourly heartbeat.
- 5
Alert on movement, not on runs
Pipe deltas into your BI tool and alert on price changes rather than on collection completing.
Price monitoring questions
Adjacent workloads
Ready to start price monitoring?
Your first gigabyte is free, which is normally enough to validate the approach against your real target before you commit to anything.