The Problem
E-commerce pricing is dynamic, and competitors change prices multiple times per week. Manual price checking across 50+ SKUs is a full-time job. Google Shopping API data provides a structured view of the competitive pricing landscape.
How Scavio Helps
- Monitor competitor prices across Google Shopping listings
- Track price changes over time for trend analysis
- Detect new market entrants and promotional pricing
- Cost: $0.005 per product query, monitor 100 SKUs daily for $0.50
- Structured price data feeds directly into pricing optimization models
Relevant Platforms
Google Shopping
Shopping results with multi-retailer pricing
Quick Start: Python Example
Here is a quick example searching Google Shopping for "An electronics retailer monitors 200 SKUs on Google Shopping daily. Daily cost: $1.00 ($30/month). The system detects a competitor dropped wireless earbuds pricing by 15% on Tuesday. The retailer matches within 4 hours instead of discovering the change days later. Estimated revenue protected: $8,000/month from faster price matching. ROI: $30 API cost protects $8,000 in revenue.":
import requests
API_KEY = "your_scavio_api_key"
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={
"x-api-key": API_KEY,
"Content-Type": "application/json",
},
json={"query": query, "tbs": "shop"},
)
data = response.json()
for result in data.get("organic_results", [])[:5]:
print(f"{result['position']}. {result['title']}")
print(f" {result['link']}\n")Built for E-commerce managers, pricing analysts, Amazon sellers monitoring Google Shopping, DTC brands tracking competitor pricing
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your google shopping price monitoring solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.