Proxies for price monitoring. The real price, everywhere.
Prices change by region, by device and by who is asking, and retail sites block the repeat visits that tracking them requires. Residential IPs and a scraper API let you watch prices across markets without the blocks.
What fits
3 products fit, best first
Recommended for Price monitoring
Residential Proxies
- Real household connections
- Rotate per request or hold a sticky session
- Country, state and city targeting
- Pay per GB, traffic never expires
- SOCKS5 and HTTP
Web Scraper APIs
- One REST call, structured JSON back
- Proxies and captchas handled server-side
- Failed extractions are not charged
- Pay per call from one balance
- No subscription, no monthly minimum
Datacenter Proxies
- The budget workhorse for volume jobs
- Unlimited traffic
- IPv4 and IPv6 pools
- Dedicated, never shared
- SOCKS5 and HTTP
- Residential proxies
- The reliable option for retail and marketplace sites that screen datacenter traffic: real IPs, and the geo-targeting to read a price as it shows in each specific market.
- Scraper API
- For sites behind a serious anti-bot stack, hand the fetch over: a URL in, the current price out, with the blocking handled.
- Datacenter proxies
- For sources that do not screen by network, the cheapest way to poll prices frequently.
The price you see is personalised, which is exactly the problem
Retailers vary prices by region, by currency, by device and increasingly by the individual visitor's history. That personalisation is the reason price monitoring is hard: a single office IP checking a page repeatedly gets a stale, tailored, and eventually blocked view of a number that is moving underneath it.
Reading the true price for a market means arriving as a fresh local visitor each time. A rotating residential pool, geo-targeted to the market you care about, gives every check a clean vantage point, so the number you record is the number a real shopper there is quoted.
Frequency without a footprint
Price tracking lives on frequency, checking often enough to catch a change while it matters, and frequency is what trips rate limits fastest. Spreading the polls across a pool is what lets you check hourly instead of daily without any single address drawing attention.
Match the tool to the target: datacenter IPs are fine and cheap for sources that do not screen, residential for the ones that do, and the scraper API for anything behind a heavy anti-bot wall. Starting cheap and escalating only when blocked keeps the cost tracking the value.
FAQ
Price monitoring questions, answered
Why do retail sites block price scraping?
Because frequent automated checks from one address look nothing like a shopper, and because competitors watching each other's prices is exactly what they want to prevent. Spreading checks across a residential pool is what keeps the tracking running.
Do I need residential proxies, or will datacenter do?
It depends on the target. Many marketplaces screen datacenter ranges, so residential is what survives there; sources that do not screen are cheaper to poll on datacenter IPs. The right approach uses both and escalates only when a site blocks the cheaper option.
How do I see region-specific prices?
Geo-target the proxy to the market you want. A residential exit in Germany reads German prices in euros; one in the US reads US prices. The address is what tells the site which market's pricing to show.
Related: Web scraping, Market research.