The Problem
Ecommerce teams need to monitor products across marketplaces but maintaining separate scrapers for each platform is expensive and fragile. Price discrepancies between Amazon and Walmart affect buy box strategy and advertising spend.
How Scavio Helps
- One API endpoint for Amazon + Walmart product data
- Structured JSON with price, rating, reviews, and seller info
- Daily price sync catches marketplace discrepancies
- Zero scraper maintenance across both platforms
- 30 products x 2 platforms x 30 days = 1,800 queries at $9/month
Relevant Platforms
Amazon
Product search with prices, ratings, and reviews
Walmart
Product search with pricing and fulfillment data
Quick Start: Python Example
Here is a quick example searching Amazon for "A dropshipper tracks 30 products on Amazon and Walmart. Daily Scavio queries return structured price and availability data for both marketplaces. When Product A is $29.99 on Amazon but $24.99 on Walmart, an alert fires to adjust pricing strategy. 1,800 monthly queries cost $9 total. Previous two-scraper setup cost $49/mo (Apify) and broke every 3-4 weeks.":
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 analysts, dropshippers, brand managers selling on multiple marketplaces, competitive intelligence teams
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your multi-marketplace ecommerce intelligence solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.