Scavio for Cross-Marketplace Product Research

The Problem

Helium 10 and Jungle Scout cover Amazon depth but miss winners on Walmart and Reddit-driven trends. Cross-platform discovery via Scavio surfaces those.

How Scavio Helps

• Cross-platform Amazon + Walmart + Google Shopping
• Reddit demand signal
• Sub-$50/mo total stack
• Daily ranked output
• LLM scoring rubric

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "winning home fitness products under $50 across marketplaces":

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-platform dropshippers, multi-marketplace sellers, e-commerce VAs running daily product research

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

Start with the free tier (500 credits/month, no credit card required) and scale to paid plans when you need higher volume.