Scavio for Ecommerce Arbitrage

The Problem

Ecommerce arbitrage sellers miss profitable opportunities because manually comparing prices across Amazon, Walmart, and Google Shopping is too slow for the volume needed to find consistent margins.

How Scavio Helps

• Three marketplaces searchable from one API integration
• Structured price data enables automated margin calculation
• Scan thousands of products daily within $30/mo budget
• Detect price discrepancies before competitors
• Historical price tracking reveals seasonal arbitrage patterns

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Amazon for "wireless earbuds price comparison amazon walmart 2026":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/amazon/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query, "marketplace": "us"},
)

data = response.json()
for product in data.get("products", [])[:5]:
    print(f"{product['title']} — {product.get('price', 'N/A')} ({product.get('rating', 'N/A')}⭐)")

Built for Ecommerce arbitrage sellers and resale business operators

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your ecommerce arbitrage solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.