The Retail Data Challenge
Retail brands now treat ecommerce as their primary storefront, but digital shelf visibility is fragmented across Amazon, Walmart, and Google Shopping. Brand managers cannot see whether their products appear for target search terms, whether third-party sellers are undercutting MAP pricing, or how their share of voice compares to private label competition. Without a direct data feed, retailers rely on sampled shopper panels that miss fast-moving changes during promotional windows like Prime Day or Rollback events.
Built for These Teams
- CPG brands selling through Amazon, Walmart, and Target
- National retail chains expanding digital-first shelves
- Digital shelf analytics vendors white-labeling data pipelines
Key Workflows
Share of search measurement
For each target category keyword, pull the top 50 organic and sponsored results on Amazon and Walmart. Calculate brand share of voice, count competing listings, and track week over week changes for executive dashboards.
MAP violation detection
Scan Amazon and Walmart daily for every SKU in the portfolio. Compare current offer prices to minimum advertised pricing rules and route violations to the channel manager with seller ID and timestamp evidence for enforcement.
New entrant and private label alerts
Track shifts in the competitive set for 100 category keywords. When a new private label or challenger brand enters the top 20, notify category managers with listing details so they can brief marketing and merchandising counterparts.
Content and image compliance audits
Fetch product detail pages across marketplaces and validate that bullet points, A plus content, and hero images match brand guidelines. Flag SKUs where third-party resellers have hijacked the listing or introduced off-brand assets.
Why Retail Teams Choose Scavio
- Digital shelf visibility across Amazon, Walmart, and Google Shopping
- Seller and offer data for MAP and unauthorized reseller work
- Location specific pricing for regional retail strategies
- Structured product content for compliance and QA workflows
- Historical queryability to benchmark promotional windows
Quick Start Example
Here is a Python example running a retail 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": "organic baby formula powder",
},
)
data = response.json()
# Process results for your retail 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.