Scavio for Cross-Listing Tool Data Layer

The Problem

An r/reselling post asked for cross-listing tool options. The data layer behind every cross-listing tool is the bottleneck. Scavio under one key covers Amazon + Walmart + Google Shopping for the SaaS builder.

How Scavio Helps

• Multi-marketplace under one auth
• Per-SKU cost ~$0.013/day across 3 marketplaces
• Reddit pricing-trend signal
• Typed JSON ready for the SaaS UI
• MCP-attachable for Claude Code skills

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "track 1000 SKUs daily across Amazon and Walmart":

import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

data = response.json()
for result in data.get("organic_results", [])[:5]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}\n")

Built for Cross-listing SaaS builders, reseller power users, e-commerce platform engineers

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your cross-listing tool data layer solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.