Cross-Marketplace Product Intelligence

The Problem

Product teams, pricing analysts, and e-commerce operators need to compare products across Amazon and Walmart simultaneously. A product that is twenty dollars on Amazon might be twenty-three on Walmart, bundled differently, or listed under a different brand name. Getting a unified view requires querying both marketplaces, normalizing the schemas, matching products by title or UPC, and maintaining two separate integrations. Most teams either pick one marketplace and ignore the other, or run a quarterly manual audit that is outdated by the time it ships. Neither approach supports real-time pricing decisions or assortment gap analysis.

The Scavio Solution

Scavio returns normalized product data from both Amazon and Walmart through the same endpoint with the same response schema. Titles, prices, ratings, review counts, and seller information all use consistent field names regardless of which marketplace you query. You can query the same product term against both platforms in parallel, diff the results, and surface pricing gaps, assortment differences, and rating disparities in real time. The normalization is built into the API, not something you have to maintain downstream. One integration gives you cross-marketplace intelligence that used to require two vendors and a reconciliation layer.

Who It Is For

E-commerce operators, pricing analysts, and product managers who sell on or monitor both Amazon and Walmart. If your competitive pricing workflow involves manually checking both marketplaces or maintaining two separate data integrations, this unifies it into one call.

Key Benefits

• Normalized schema across Amazon and Walmart product data
• Same field names for price, rating, title, and seller across platforms
• Parallel queries from a single API key for real-time comparison
• Supports pricing gap analysis, assortment audits, and competitive monitoring
• No reconciliation layer or schema adapter to maintain

Python Example

import requests

API_KEY = "your_scavio_api_key"
URL = "https://api.scavio.dev/api/v1/search"

def compare_prices(query: str):
    results = {}
    for platform in ["amazon", "walmart"]:
        r = requests.post(
            URL,
            headers={"x-api-key": API_KEY},
            json={"platform": platform, "query": query},
            timeout=15,
        )
        products = r.json().get("organic", [])[:5]
        results[platform] = [
            {"title": p["title"], "price": p.get("price")}
            for p in products
        ]
    return results

data = compare_prices("instant pot duo 7-in-1")
for platform, products in data.items():
    print(f"\n{platform}:")
    for p in products:
        print(f"  ${p['price']} - {p['title'][:60]}")

JavaScript Example

const API_KEY = "your_scavio_api_key";
const URL = "https://api.scavio.dev/api/v1/search";

async function comparePrices(query) {
  const results = {};
  for (const platform of ["amazon", "walmart"]) {
    const r = await fetch(URL, {
      method: "POST",
      headers: {
        "x-api-key": API_KEY,
        "content-type": "application/json",
      },
      body: JSON.stringify({ platform, query }),
    });
    const data = await r.json();
    results[platform] = (data.organic ?? []).slice(0, 5).map((p) => ({
      title: p.title,
      price: p.price,
    }));
  }
  return results;
}

const data = await comparePrices("instant pot duo 7-in-1");
for (const [platform, products] of Object.entries(data)) {
  console.log(`\n${platform}:`);
  for (const p of products) {
    console.log(`  $${p.price} - ${p.title.slice(0, 60)}`);
  }
}

Platforms Used