Ecommerce Data API: Amazon, Google Shopping, Walmart Compared

The best ecommerce data API in 2026 depends on how many platforms you need. If you only track Amazon, Keepa (~$19/mo) or Helium 10 (~$39/mo) work fine. If you need Amazon, Google Shopping, and Walmart in one API, Scavio covers all three at $0.005/query with a single endpoint and consistent JSON schema.

The multi-platform problem

Most ecommerce data providers started with one platform and bolted on others. Keepa is Amazon-only with deep historical data but zero coverage of Google Shopping or Walmart. Helium 10 is Amazon-only with keyword and listing optimization tools. DataForSEO covers multiple search engines starting at $0.0006/request for standard results and $0.002 for live, but the response schemas differ per platform and require separate parsing logic.

Cost comparison for 10K daily queries

At 10,000 queries per day across three platforms: Keepa covers one platform for ~$19/mo but you still need two more sources. Helium 10 covers one platform for ~$39/mo with the same gap. DataForSEO live mode runs $0.002 x 10,000 = $20/day ($600/mo). Scavio runs $0.005 x 10,000 = $50/day, or $100/mo for 28K credits which covers about 3 days, scaling to $250/mo for 85K credits. For smaller volumes under 7K queries/mo, Scavio's $30/mo plan works.

Cross-platform product search in one script

The advantage of a unified API is one function that works across platforms. Same headers, same request shape, same response parsing.

import requests, os, json

API = 'https://api.scavio.dev/api/v1/search'
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}

def search_product(query: str, platforms=None):
    platforms = platforms or ['google_shopping', 'amazon', 'walmart']
    results = {}
    for platform in platforms:
        resp = requests.post(API, headers=H, json={
            'platform': platform,
            'query': query,
        }, timeout=15)
        data = resp.json()
        results[platform] = {
            'products': data.get('shopping_results', data.get('organic_results', [])),
            'count': len(data.get('shopping_results', data.get('organic_results', []))),
        }
    return results

# Compare a product across all three platforms
product = search_product('sony wh-1000xm6 headphones')
for platform, data in product.items():
    print(f"{platform}: {data['count']} results")
    for item in data['products'][:3]:
        print(f"  {item.get('title', 'N/A')} - {item.get('price', 'N/A')}")

Price comparison aggregation

A practical use case: find the lowest price for a product across all three marketplaces. This powers price comparison engines, affiliate sites, and internal procurement tools.

def find_best_price(query: str):
    results = search_product(query)
    best = {'platform': None, 'price': float('inf'), 'title': ''}
    for platform, data in results.items():
        for item in data['products']:
            raw = item.get('price', '')
            if not raw:
                continue
            # Parse price string like "$299.99" to float
            try:
                price = float(raw.replace('$', '').replace(',', '').split()[0])
            except (ValueError, IndexError):
                continue
            if price < best['price']:
                best = {'platform': platform, 'price': price, 'title': item.get('title', '')}
    return best

cheapest = find_best_price('airpods pro 3')
print(f"Best price: {cheapest['price']} on {cheapest['platform']}")
print(f"  {cheapest['title']}")

When single-platform tools win

Keepa has 10+ years of Amazon price history. No multi-platform API matches that depth. If your entire business is Amazon FBA and you need historical BSR trends, Keepa is the right tool. Helium 10 adds keyword research and listing optimization that a raw data API does not provide. Use them for what they are good at: deep single-platform analytics.

When multi-platform wins

Price arbitrage across Amazon, Google Shopping, and Walmart needs cross-platform data. Brand monitoring across marketplaces needs it. Competitive intelligence for DTC brands selling everywhere needs it. Any workflow where you compare the same product across platforms benefits from a single API with consistent schemas. The alternative is maintaining three separate integrations, three sets of credentials, and three different response parsers.

Decision framework

Amazon-only with historical data: Keepa. Amazon-only with keyword tools: Helium 10. Multi-platform with high volume and low latency tolerance: DataForSEO standard mode. Multi-platform with moderate volume and consistent schemas: Scavio. The cheapest option depends entirely on your query volume and platform coverage requirements. Start with the free tier (250 credits/mo) on any multi-platform API to validate your use case before committing to a paid plan.