Ecommerce Data APIs: Amazon + Walmart in One Call

Getting Amazon and Walmart product data in one API call eliminates the need to maintain separate scrapers or pay for two specialized APIs. The 2026 ecommerce data API landscape has consolidated: you either use platform-specific APIs (Amazon PA-API, Walmart Affiliate API) or a multi-platform search API that covers both.

Platform-Specific APIs

Amazon Product Advertising API (PA-API 5.0): requires an Amazon Associates account, returns product data only for items you link to, rate limited to 1 request/second without prior sales. Walmart Affiliate API: requires approval, returns product data with pricing, limited to Walmart.com inventory. Both require separate integrations, separate auth, and separate rate limit handling.

Multi-Platform Search API

A single API endpoint that returns structured product data from both Amazon and Walmart. One auth key, one response format, one rate limit to manage. The tradeoff: you get search result data (titles, prices, links, snippets) rather than full catalog data (inventory levels, BSR history, variant details).

import requests, os

H = {"x-api-key": os.environ["SCAVIO_API_KEY"]}

def compare_prices(product_query):
    """Search Amazon and Walmart for price comparison."""
    results = {}
    for platform in ["amazon", "walmart"]:
        r = requests.post("https://api.scavio.dev/api/v1/search",
            headers=H,
            json={"platform": platform, "query": product_query},
            timeout=10
        ).json()
        results[platform] = [
            {
                "title": item.get("title", ""),
                "price": item.get("price", "N/A"),
                "url": item.get("link", ""),
                "rating": item.get("rating"),
            }
            for item in r.get("organic", [])[:5]
        ]
    return results

comparison = compare_prices("sony wh-1000xm5 headphones")
for platform, products in comparison.items():
    print(f"\n{platform.upper()}:")
    for p in products:
        print(f"  {p['title'][:60]} - {p['price']}")

Use Cases That Need Both Platforms

Dropshipping arbitrage: find products cheaper on Walmart, sell on Amazon. Competitive pricing: monitor your product on both marketplaces. Market research: compare product selection and pricing across platforms. Price monitoring SaaS: track prices for clients across all major retailers.

Building a Price Tracker

import json
from datetime import datetime

def track_product_prices(products):
    """Track prices across platforms over time."""
    snapshot = {
        "date": datetime.now().strftime("%Y-%m-%d"),
        "products": []
    }
    for query in products:
        prices = compare_prices(query)
        snapshot["products"].append({
            "query": query,
            "amazon": prices.get("amazon", []),
            "walmart": prices.get("walmart", []),
        })
    return snapshot

# Track daily
tracked = ["airpods pro 2", "dyson v15", "roomba j7"]
daily_snapshot = track_product_prices(tracked)

# Save to file or database
with open(f"prices_{datetime.now().strftime('%Y-%m-%d')}.json", "w") as f:
    json.dump(daily_snapshot, f, indent=2)
print(f"Tracked {len(tracked)} products across 2 platforms")

API Cost Comparison

Amazon PA-API: free with Associates account but requires generating sales to maintain access. Walmart API: free with affiliate approval. Both require maintaining affiliate accounts and separate integrations. Scavio: $0.005/credit, 250 free/month, $30/month for 7K credits. Covers both platforms plus Google, YouTube, and Reddit through one endpoint.

When You Need Platform-Specific APIs

If you need inventory levels, BSR rankings, variant details, or full product specifications, you need the platform-specific APIs. Search APIs return what appears in search results: titles, prices, ratings, and URLs. For product comparison, pricing intelligence, and market research, search result data is sufficient. For catalog management, inventory tracking, or listing optimization, you need the official APIs.