One Product, Many Prices
A pair of AirPods Pro might sell for $249 in the United States, £229 in the United Kingdom, and ₹26,900 in India. That's not a currency conversion - Apple (and most major retailers) deliberately set different prices for each market.
If your app, AI chatbot, or comparison tool shows the US price to a UK user, you're showing them incorrect information. Worse, if they click through and see a different price, trust collapses immediately.
The solution is location-aware pricing: serving each user the price that's actually correct for their region.
How Geo-Pricing Works Behind the Scenes
E-commerce platforms determine which price to show using a combination of signals:
- IP address - geolocation to rough region/country
- Shipping address - set explicitly in account settings or checkout
- Store locale - the regional storefront (amazon.co.uk vs. amazon.com)
- Browser locale + currency settings - secondary signals
- Cookie/session context - remembered preferences
To scrape the correct geo-specific price, a data pipeline needs to replicate this context reliably. A US-based server hitting amazon.co.uk with no address set will often get a hybrid or incorrect price.
The Pricium Approach
Pricium accepts a location parameter that handles all of this. Here's how to use it:
const response = await fetch('https://api.pricium.store/scrape', {
method: 'POST',
headers: {
'Authorization': `Bearer ${process.env.PRICIUM_API_KEY}`,
'Content-Type': 'application/json'
},
body: JSON.stringify({
url: 'https://www.amazon.com/dp/B0CHX2F5QT',
location: 'UK' // Returns GBP pricing with UK-specific availability
})
});
const data = await response.json();
The API routes through residential IPs in the requested location, sets appropriate regional context, and returns pricing native to that market.
Building a Geo-Aware Price Display Component
Here's a React component that detects the user's location and displays the correct price:
import { useEffect, useState } from 'react';
interface GeoPrice {
price: number;
currency: string;
symbol: string;
}
async function getUserLocation(): Promise<string> {
const res = await fetch('https://ipapi.co/json/');
const data = await res.json();
return data.country_code; // "US", "GB", "IN", etc.
}
async function fetchGeoPrice(productUrl: string, location: string): Promise<GeoPrice> {
const res = await fetch('/api/product-price', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ url: productUrl, location }),
});
return res.json();
}
export function GeoPriceDisplay({ productUrl }: { productUrl: string }) {
const [price, setPrice] = useState<GeoPrice | null>(null);
const [location, setLocation] = useState<string>('US');
useEffect(() => {
getUserLocation().then(loc => {
setLocation(loc);
return fetchGeoPrice(productUrl, loc);
}).then(setPrice);
}, [productUrl]);
if (!price) return <span className="animate-pulse">Loading price...</span>;
return (
<span className="text-2xl font-bold text-green-600">
{price.symbol}{price.price.toFixed(2)} {price.currency}
<span className="text-sm text-gray-500 ml-1">· for {location}</span>
</span>
);
}
Supported Locations
Pricium supports geo-pricing for all major e-commerce markets:
| Region | Code | Primary Retailers |
|---|---|---|
| United States | US | Amazon, Walmart, Target |
| United Kingdom | UK | Amazon UK, John Lewis |
| European Union | EU | Amazon DE/FR/IT |
| India | IN | Amazon IN, Flipkart |
| Canada | CA | Amazon CA |
| Australia | AU | Amazon AU |
Why This Matters for AI Products
Users increasingly interact with AI assistants to discover and compare products. If your AI serves a UK user the US price, it's not just wrong - it's a trust-breaking failure. Users who verify the price and find it different will immediately stop trusting your AI.
Location-aware pricing is the difference between an AI that feels genuinely helpful and one that feels like it's reading from an outdated pamphlet.
Start serving geo-accurate prices to every user. Try the Pricium API →
