The Problem
Resellers and arbitrage businesses manually check prices across Amazon and Walmart to find profitable spreads. This involves opening multiple tabs, searching for the same product on each platform, and comparing prices. At scale, manual price checking limits the number of products a reseller can monitor and means profitable opportunities are missed because they were not checked in time.
The Scavio Solution
Automate cross-platform price checking with Scavio's Amazon and Walmart endpoints. For each product in your catalog, query both platforms and compare prices programmatically. Flag products where the price differential exceeds your minimum margin threshold. Run the check on a schedule (hourly for high-velocity products, daily for stable categories) and alert when new arbitrage opportunities appear or existing margins shrink below profitability.
Before
Before automation, a reseller manually checked 50 products per day across Amazon and Walmart, spending 3 hours per session. They missed a price drop on a high-margin product because they only checked that category on Tuesdays.
After
After implementing automated checking with Scavio, the system monitors 2,000 products hourly. It flagged the same price drop within 60 minutes and the reseller captured the margin before competitors noticed. Daily checking time dropped from 3 hours to 15 minutes of reviewing flagged opportunities.
Who It Is For
Resellers, arbitrage businesses, and e-commerce teams monitoring cross-platform price differentials to identify profitable opportunities.
Key Benefits
- Cross-platform price comparison in a single API call per platform
- Automated margin calculation and threshold alerting
- Hourly monitoring for time-sensitive arbitrage
- Credit-based pricing scales with catalog size
- Structured price data requires no scraping or parsing
Python Example
import requests, os
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
MIN_MARGIN = 0.15 # 15% minimum margin
def check_arbitrage(product: str) -> dict:
amazon = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'amazon', 'query': product}, timeout=10).json()
walmart = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'walmart', 'query': product}, timeout=10).json()
a_price = amazon.get('organic', [{}])[0].get('price') if amazon.get('organic') else None
w_price = walmart.get('organic', [{}])[0].get('price') if walmart.get('organic') else None
if a_price and w_price and a_price > 0 and w_price > 0:
margin = abs(a_price - w_price) / max(a_price, w_price)
return {'product': product, 'amazon': a_price, 'walmart': w_price,
'margin': round(margin, 3), 'opportunity': margin >= MIN_MARGIN}
return {'product': product, 'amazon': a_price, 'walmart': w_price, 'opportunity': False}
print(check_arbitrage('sony wh-1000xm5'))JavaScript Example
const MIN_MARGIN = 0.15;
async function checkArbitrage(product) {
const [amazon, walmart] = await Promise.all([
fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' },
body: JSON.stringify({ platform: 'amazon', query: product })
}).then(r => r.json()),
fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' },
body: JSON.stringify({ platform: 'walmart', query: product })
}).then(r => r.json())
]);
const aPrice = amazon.organic?.[0]?.price;
const wPrice = walmart.organic?.[0]?.price;
if (aPrice && wPrice) {
const margin = Math.abs(aPrice - wPrice) / Math.max(aPrice, wPrice);
return { product, amazon: aPrice, walmart: wPrice, margin: margin.toFixed(3), opportunity: margin >= MIN_MARGIN };
}
return { product, opportunity: false };
}Platforms Used
Amazon
Product search with prices, ratings, and reviews
Walmart
Product search with pricing and fulfillment data