Explore Capsule

E-commerce sites serve different prices based on where a request comes from. A datacenter IP gets a different number than a local residential user. This Capsule routes your monitoring runs through real residential devices in your target markets so your pipeline collects the price your customers actually see, not a sanitized version served to known scrapers.
Price monitoring works on schedule. Your pipeline runs the same checks, against the same targets, in the same markets, at the same intervals. This Capsule is optimized for that pattern: predictable, programmatic, low-concurrency requests that need reliable residential access across every run without degradation over time.
Most e-commerce platforms serve prices dynamically based on the visitor's location, device type, and traffic origin. A request from a datacenter IP range gets flagged as automated and either blocked outright or served a sanitized price. A request from a residential IP in the target city gets the same page a local shopper would see.
That difference matters when your monitoring pipeline is informing pricing decisions for your own catalog. If your competitor's real price in Chicago is $34.99 and your scraper is collecting $39.99 because it's hitting the site from a flagged server IP, your pricing model is working from bad data. Residential geo-targeting is not a technical nicety for price monitoring. It is the foundation of data accuracy.
Price monitoring pipelines don't need high throughput. They need consistency: the same geo-targeted residential access on every run, with enough IP diversity to avoid accumulating detection signals across repeated visits to the same targets. This Capsule routes each monitoring request through a real residential device in the target market, on a schedule your pipeline controls.
Prices vary by location across most major retail and travel platforms. Route your monitoring requests through residential IPs in the exact city your customers are in: New York, Chicago, Los Angeles, or any target market. Geo-targeting is encoded in your connection string and applies to every request in your scheduled run automatically.
Price monitoring pipelines hit the same targets repeatedly on a defined schedule. This Capsule distributes those repeated requests across a residential IP pool large enough to avoid accumulating detection signals on any single IP. Your pipeline runs the same check today, tomorrow, and next month without degradation in response quality.
Price monitoring is a predictable workload. The same number of SKUs, the same targets, the same frequency. That predictability makes bandwidth planning straightforward. Pick the GB tier that matches your catalog size and monitoring frequency and your monthly cost stays consistent run after run.
No manual proxy management. No reconfiguration between runs. No surprises in your setup.
Choose the capsule and bandwidth tier that match your workflow. Start small, validate your setup, and add more bandwidth from your dashboard as your needs grow.
Add country, region, or city parameters to your connection string. Route requests through local residential IPs for each target market.
Schedule hourly, daily, or weekly monitoring runs. Magnetic Proxy handles residential rotation so your pipeline stays focused on price data.
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Check the most Frequently Asked Questions
What makes this Capsule different from General Purpose for price monitoring?
The Price Monitoring Capsule is optimized for scheduled, recurring, geo-targeted requests that price monitoring pipelines generate. It routes monitoring runs through residential IPs in the target market to collect the price a local customer actually sees, and distributes repeated requests across a pool large enough to avoid detection signal accumulation over time.
Why do I need residential proxies specifically for price monitoring?
E-commerce platforms serve prices dynamically based on traffic origin. Requests from datacenter IP ranges are flagged as automated and either blocked or served sanitized pricing. Residential IPs in the target market produce the same response a real local shopper would get. Datacenter proxies collect prices that do not reflect what your customers see.
How does city-level geo-targeting work for price monitoring?
Add the target location to your connection string using the standard geo parameters: cc-us for country, rg-california for region, or city-chicago for city-level targeting. Each monitoring request routes through a residential IP in that location automatically. For operations tracking prices across multiple markets, assign a different geo parameter to each market's monitoring run.
How much bandwidth does a typical price monitoring operation use?
A small operation tracking 500 SKUs across 3 markets with daily runs uses roughly 1 to 3 GB per month. A large operation monitoring 50,000 SKUs across 10 markets with hourly runs can reach 100 to 200 GB per month. The predictable nature of monitoring workloads makes bandwidth planning straightforward from the start.
Can I monitor prices across multiple retailers simultaneously?
Yes. Your pipeline sends requests to each retailer through the same endpoint using the same credentials. Assign different geo parameters per market as needed. The residential pool distributes requests across multiple targets simultaneously without any individual IP accumulating a detectable pattern on a specific retailer.
How often can I run my monitoring schedule?
As frequently as your operation requires. Hourly runs for fast-moving categories like electronics or travel. Daily runs for standard retail catalog tracking. Weekly surveys for broader market intelligence. The Capsule handles residential rotation on every request regardless of run frequency.
Can I upgrade my plan as my catalog grows?
Yes. Upgrade your bandwidth tier at any time from your dashboard. The endpoint, credentials, and geo-targeting configuration stay exactly the same. Your monitoring pipeline continues running without interruption. More bandwidth becomes available immediately with no code changes and no reconfiguration of your scheduled runs.
Can I test Magnetic Proxy before scaling?
Yes. New customers can use a 1GB General Purpose 80% off to test the capsule that matches their workflow before moving into higher-volume traffic. Use it to validate setup, rotation behavior, target-site access, and response quality, then scale when the workflow is working.