The E-commerce Data Challenge
E-commerce operators run on stale spreadsheets while competitors reprice hourly. Internal BI tools lag the market, scraping scripts break weekly, and third-party feeds arrive once a day. By the time a brand reacts to a buy-box loss or a new Amazon listing, the sale is gone. Teams need structured, on-demand access to product catalogs, pricing, ratings, and search rankings across Amazon, Walmart, and Google Shopping to stay competitive in 2026.
Built for These Teams
- DTC brands running Amazon plus Shopify storefronts
- Third-party Amazon and Walmart sellers managing 500 plus SKUs
- Marketplace aggregators acquiring and operating ecommerce portfolios
Key Workflows
Hourly buy-box and price tracking
Pull current offers, buy-box owner, and fulfillment type for every SKU each hour. Pipe results into a repricing engine that adjusts listings automatically when a competitor undercuts or runs out of stock.
Cross-marketplace assortment gap analysis
Search Amazon and Walmart for a target keyword, compare the top 50 results against your own catalog, and surface products your competitors sell that you do not carry. Feed gaps into a merchandising sprint each week.
Review and rating sentiment sweeps
Aggregate ratings, review counts, and star distributions across your portfolio plus three key competitors. Flag SKUs where ratings drop more than 0.3 stars week over week and route them to the quality team for investigation.
Organic search visibility tracking
Track where your product listings rank on Google and inside Amazon search for 200 target keywords. Correlate rank changes with sponsored spend and conversion data to decide where to concentrate ad budget next cycle.
Why E-commerce Teams Choose Scavio
- Unified Amazon, Walmart, and Google Shopping data through one API
- Sub-second response times with zero proxy management
- Structured JSON for prices, ratings, buy-box ownership, and variants
- Location-aware results for local pricing and availability checks
- No IP bans or captcha handling to maintain in house
Quick Start Example
Here is a Python example running a e-commerce query:
import requests
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "your_scavio_api_key"},
json={
"platform": "amazon",
"query": "wireless earbuds under 100 dollars",
},
)
data = response.json()
# Process results for your e-commerce workflow
for item in data.get("organic_results", data.get("products", []))[:10]:
print(item)Platforms You Will Use
Amazon
Product search with prices, ratings, and reviews
Walmart
Product search with pricing and fulfillment data
Google Shopping
Shopping results with multi-retailer pricing
Web search with knowledge graph, PAA, and AI overviews
Scavio is designed for teams that need reliable, structured data at scale. Start with the free tier, build your workflow, then scale when you are ready. No lock-in. No complicated setup. Read the quickstart to get your API key and first response in under two minutes.