Limited offer: Get 80% OFF your first month of the 1GB plan with code FIRSTPURCHASE.

Claim & start

Limited offer: Get 80% OFF your first month of the 1GB plan with code FIRSTPURCHASE.

Claim & start

Limited offer: Get 80% OFF your first month of the 1GB plan with code FIRSTPURCHASE.

Claim & start

Limited offer: Get 80% OFF your first month of the 1GB plan with code FIRSTPURCHASE.

Claim & start

Limited offer: Get 80% OFF your first month of the 1GB plan with code FIRSTPURCHASE.

Claim & start

Limited offer: Get 80% OFF your first month of the 1GB plan with code FIRSTPURCHASE.

Claim & start

Limited offer: Get 80% OFF your first month of the 1GB plan with code FIRSTPURCHASE.

Claim & start

Magnetic Proxy for
Price Monitoring

Monitor Competitor Prices at Scale. Get the Real Number, Every Time.

Name: Price Monitoring
Brand: Magnetic Proxy
Availability: InStock

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.

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Comparison

Consistent geo-targeted access. Every scheduled run.

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.

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Problem

Why the Price You Collect Depends on the IP You Use

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.

Solution

Residential Access Optimized for Scheduled Monitoring

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.

Geo-targeting by country, region, and city for accurate local pricing
Residential IPs that pass platform detection on repeated visits
99.95% average success rate across all scheduled runs
0.6s average response time
HTTP, HTTPS, and SOCKS5 support

Core Features

Accurate local prices. Reliable scheduled runs. No manual intervention.

City-Level Pricing Accuracy

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.

Consistent Performance Across Repeated Runs

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.

Predictable Bandwidth for Budget Control

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.

how it works