Solution

Cross-Marketplace Product Research Stack

Amazon-only product research tools (Helium 10, Jungle Scout) miss winners on Walmart, Google Shopping, and Reddit. Single-marketplace bias hides cross-platform opportunities.

The Problem

Amazon-only product research tools (Helium 10, Jungle Scout) miss winners on Walmart, Google Shopping, and Reddit. Single-marketplace bias hides cross-platform opportunities.

The Scavio Solution

Scavio + LLM scorer covering Amazon + Walmart + Google Shopping + Reddit demand signal. Daily cron runs cross-marketplace queries and ranks candidates by margin × demand × competition.

Before

Helium 10 at $99-129/mo for Amazon-only; missing Walmart and TikTok-driven winners.

After

Scavio at $30/mo cross-platform plus a TikTok signal source (~$10-20/mo); ranked daily list of cross-marketplace winners.

Who It Is For

Cross-platform dropshippers, multi-marketplace sellers, SaaS founders building reseller tools, e-commerce VAs running daily product research.

Key Benefits

  • Cross-platform Amazon + Walmart + Google Shopping coverage
  • Reddit demand-signal layer
  • LLM scoring rubric (margin, demand, competition)
  • Sub-$50/mo total stack vs $99-129/mo Amazon-only
  • Daily cron output ready for VA review

Python Example

Python
import os, requests
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}

def cross(q):
    return {
        'amazon': requests.post('https://api.scavio.dev/api/v1/amazon/search', headers=H, json={'query': q}).json(),
        'walmart': requests.post('https://api.scavio.dev/api/v1/walmart/search', headers=H, json={'query': q}).json(),
        'shopping': requests.post('https://api.scavio.dev/api/v1/search', headers=H, json={'query': q, 'search_type': 'shopping'}).json(),
        'reddit': requests.post('https://api.scavio.dev/api/v1/reddit/search', headers=H, json={'query': q}).json(),
    }

JavaScript Example

JavaScript
const H = { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' };
async function cross(q) {
  const opts = (b) => ({ method:'POST', headers:H, body: JSON.stringify(b) });
  const [a, w, s, r] = await Promise.all([
    fetch('https://api.scavio.dev/api/v1/amazon/search', opts({ query: q })).then(r => r.json()),
    fetch('https://api.scavio.dev/api/v1/walmart/search', opts({ query: q })).then(r => r.json()),
    fetch('https://api.scavio.dev/api/v1/search', opts({ query: q, search_type: 'shopping' })).then(r => r.json()),
    fetch('https://api.scavio.dev/api/v1/reddit/search', opts({ query: q })).then(r => r.json())
  ]);
  return { a, w, s, r };
}

Platforms Used

Google

Web search with knowledge graph, PAA, and AI overviews

Reddit

Community, posts & threaded comments from any subreddit

Frequently Asked Questions

Amazon-only product research tools (Helium 10, Jungle Scout) miss winners on Walmart, Google Shopping, and Reddit. Single-marketplace bias hides cross-platform opportunities.

Scavio + LLM scorer covering Amazon + Walmart + Google Shopping + Reddit demand signal. Daily cron runs cross-marketplace queries and ranks candidates by margin × demand × competition.

Cross-platform dropshippers, multi-marketplace sellers, SaaS founders building reseller tools, e-commerce VAs running daily product research.

Yes. Scavio's free tier includes 500 credits per month with no credit card required. That is enough to validate this solution in your workflow.

Cross-Marketplace Product Research Stack

Scavio + LLM scorer covering Amazon + Walmart + Google Shopping + Reddit demand signal. Daily cron runs cross-marketplace queries and ranks candidates by margin × demand × competit