The Problem
Two r/dropshipping posts: finding winning products. The category-first approach requires cross-marketplace data validation.
The Scavio Solution
Scavio queries Amazon, Walmart, and Google in one API key. Validate demand across three marketplaces before sourcing.
Before
Manual product research across Amazon, Walmart, Google Shopping. Hours per product, inconsistent methodology.
After
Automated validation: Amazon search + Walmart search + Google Shopping. Cross-marketplace demand scoring. $0.015/product (3 queries).
Who It Is For
Dropshippers, ecommerce entrepreneurs, product researchers, Amazon FBA sellers evaluating new products.
Key Benefits
- Cross-marketplace validation in one API
- Amazon + Walmart + Google Shopping
- Automated demand scoring
- $0.015/product in API cost
- Structured JSON for agent processing
Python Example
Python
import requests, os
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def validate_product(query):
amazon = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'amazon', 'query': query}).json()
walmart = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'walmart', 'query': query}).json()
google = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'google', 'query': f'{query} buy'}).json()
return {'amazon': amazon, 'walmart': walmart, 'google': google}JavaScript Example
JavaScript
// Same three API calls with fetch() in JS/TSPlatforms Used
Amazon
Product search with prices, ratings, and reviews
Walmart
Product search with pricing and fulfillment data
Web search with knowledge graph, PAA, and AI overviews