Solution

Amazon Product Discovery Pipeline for FBA Builders

Amazon FBA sellers run the same product-discovery cycle every week: pick a category, filter by sales rank, eyeball reviews, copy ASINs, paste into a research dashboard, scroll. Hel

The Problem

Amazon FBA sellers run the same product-discovery cycle every week: pick a category, filter by sales rank, eyeball reviews, copy ASINs, paste into a research dashboard, scroll. Helium 10 plus Jungle Scout costs $100 to $300 per month for what is fundamentally a few API calls.

The Scavio Solution

Replace the dashboard cycle with a Python script driven by Scavio's Amazon endpoint. Search a category, filter by review count and rating, fetch full product detail per ASIN, score against your criteria, and emit a CSV. The script runs in 60 seconds and costs cents per run instead of $99/mo per dashboard.

Before

$99 to $279 per month per dashboard, manual ASIN copying, slow lookups one product at a time.

After

60-second batch run, full ASIN data in CSV, custom scoring logic, $0.003 per query at the fast tier.

Who It Is For

Amazon FBA solo sellers, agencies, and ecommerce researchers who want script-speed product discovery instead of dashboard clicks.

Key Benefits

  • 12-marketplace coverage in one API
  • Batch ASIN lookups at script speed
  • Custom scoring logic in your code, not a dashboard
  • Fast search tier under one second
  • Cents per run instead of hundreds per month

Python Example

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

def discover(category, max_reviews=200, min_rating=4.0):
    s = requests.post('https://api.scavio.dev/api/v1/amazon/search',
        headers=H, json={'query': category, 'sort_by': 'best_sellers'}).json()
    out = []
    for p in s.get('products', []):
        if p.get('review_count', 0) <= max_reviews and p.get('rating', 0) >= min_rating:
            d = requests.post('https://api.scavio.dev/api/v1/amazon/product',
                headers=H, json={'asin': p['asin']}).json()
            out.append(d)
    return out

JavaScript Example

JavaScript
const H = { 'x-api-key': process.env.SCAVIO_API_KEY, 'content-type': 'application/json' };

async function discover(category) {
  const s = await fetch('https://api.scavio.dev/api/v1/amazon/search', {
    method: 'POST', headers: H,
    body: JSON.stringify({ query: category, sort_by: 'best_sellers' })
  }).then(r => r.json());
  return (s.products || []).filter(p => p.review_count <= 200 && p.rating >= 4);
}

Platforms Used

Amazon

Product search with prices, ratings, and reviews

Frequently Asked Questions

Amazon FBA sellers run the same product-discovery cycle every week: pick a category, filter by sales rank, eyeball reviews, copy ASINs, paste into a research dashboard, scroll. Helium 10 plus Jungle Scout costs $100 to $300 per month for what is fundamentally a few API calls.

Replace the dashboard cycle with a Python script driven by Scavio's Amazon endpoint. Search a category, filter by review count and rating, fetch full product detail per ASIN, score against your criteria, and emit a CSV. The script runs in 60 seconds and costs cents per run instead of $99/mo per dashboard.

Amazon FBA solo sellers, agencies, and ecommerce researchers who want script-speed product discovery instead of dashboard clicks.

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.

Amazon Product Discovery Pipeline for FBA Builders

Replace the dashboard cycle with a Python script driven by Scavio's Amazon endpoint. Search a category, filter by review count and rating, fetch full product detail per ASIN, score