The Price Comparison Data Challenge
Price comparison sites once negotiated direct merchant feeds, but consumers now expect marketplace coverage including Amazon, Walmart, and Google Shopping. Feeds miss long tail SKUs, and building a scraping stack for each marketplace is a full engineering team in itself. In 2026, shopping assistants and AI agents expect structured comparison endpoints they can call from prompt logic. A unified API for price, offer, and merchant data lets comparison products compete without the infrastructure overhead.
Built for These Teams
- Consumer facing price comparison and cashback sites
- Retail media networks offering advertisers transparent pricing context
- AI shopping assistants embedded in browsers and messengers
Key Workflows
Product match and price aggregation
For a given UPC or title, query Amazon, Walmart, and Google Shopping in parallel. Normalize results, resolve merchant identity, and return the lowest price with shipping and fulfillment details for the comparison page within a single API roundtrip.
Deal detection and ranking
Scan top categories every hour for products with double digit price drops. Score deals by discount depth, rating, and merchant reputation, then publish to the homepage and alert subscribers who track that category in their accounts.
Buy button routing
When a shopper clicks buy, use the most recent API response to direct them to the merchant currently offering the best combined price and delivery. Avoid the legacy problem of deep links pointing to outdated or out of stock listings.
AI shopping assistant grounding
Chat based assistants call the API during a recommendation turn, ensuring the prices and availability quoted to the user match the marketplace state at query time rather than what the LLM training set remembers from months earlier.
Why Price Comparison Teams Choose Scavio
- Consolidated offers from Amazon, Walmart, and Google Shopping
- Normalized pricing, rating, and merchant metadata
- Fresh stock and shipping signals at request time
- Low latency suitable for interactive comparison experiences
- Usage based pricing that aligns with traffic spikes and sales events
Quick Start Example
Here is a Python example running a price comparison 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": "lg c3 65 inch oled tv price comparison",
},
)
data = response.json()
# Process results for your price comparison 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
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.