Proxies for Price Comparison

The Reality of Dynamic Pricing

E-commerce platforms and travel sites show prices based on demand and visitor profile: the same plane ticket can be priced differently for IPs from different countries, and marketplaces open regional campaigns only to visitors coming from the relevant location. A check you run from your office IP does not represent the price your customer sees.

Proxy-based price tracking solves this at the root: every check runs from a real user IP in the target market itself.

The 3 Layers of a Price Tracking Architecture

1. Collection: Product pages are pulled at regular intervals with rotating residential IPs; because every request exits from a different IP, bot protections do not kick in.
2. Regional verification: For critical products the same page is fetched from several country/city IPs; the price differences are recorded in a table.
3. Change detection: Price, stock and campaign changes turn into alerts when they cross a threshold.

Why Rotating Residential?

• Marketplace bot protections flag data center IPs quickly; residential addresses are treated as natural traffic.
• Without location targeting, regional price differences cannot be measured.
• In hourly crawls the number of requests per IP has to stay low; the only way to do that at scale is automatic rotation.

Typical Use Examples

Retailer: Crawls a competitor's 5,000-product catalog four times a day and feeds its dynamic pricing engine. Travel agency: Compares flight and hotel prices from IPs in different countries, looking for arbitrage opportunities. Manufacturer: Audits region by region whether its dealers comply with the recommended retail price. Analyst: Reports how exchange-rate and demand shocks feed into prices, with daily data.

How Much Traffic Do You Need?

Product pages average 1-2 MB; if you fetch HTML only, that drops to 0.3-0.8 MB. Tracking 10,000 pages a day produces roughly 100-300 GB of traffic a month — at that volume, the special GB rates of our enterprise plans come into play.