Tracking a product across Amazon, Walmart, and Google Shopping traditionally requires three APIs. A single API covering all platforms lets you build a unified tracker that detects cross-platform price gaps and alerts on drops. This tutorial builds one using the Scavio API at $0.005 per platform check -- tracking one product across three platforms costs $0.015 per cycle.
Prerequisites
- Python 3.8+ or Node.js 18+
- A Scavio API key from scavio.dev
- requests library installed
- Products to track
Walkthrough
Step 1: Define products and platforms
Set up products with platform-specific search queries.
Python
import os, json, requests
from datetime import datetime
API_KEY = os.environ['SCAVIO_API_KEY']
H = {'x-api-key': API_KEY, 'Content-Type': 'application/json'}
PRODUCTS = [
{'name': 'Sony WH-1000XM5', 'queries': {
'amazon': 'Sony WH-1000XM5 headphones',
'walmart': 'Sony WH-1000XM5',
}},
{'name': 'AirPods Pro 2', 'queries': {
'amazon': 'Apple AirPods Pro 2nd generation',
'walmart': 'AirPods Pro 2',
}},
]Step 2: Fetch prices from each platform
Query each platform and extract price data.
Python
def fetch_price(query, platform):
body = {'query': query, 'platform': platform, 'country_code': 'us'}
if platform == 'amazon': body['marketplace'] = 'US'
data = requests.post('https://api.scavio.dev/api/v1/search', headers=H, json=body).json()
items = data.get('products', data.get('shopping_results', []))
if not items: return None
raw = str(items[0].get('price', '')).replace('$', '').replace(',', '')
try: price = float(raw)
except: price = None
return {'title': items[0].get('title', ''), 'price': price, 'platform': platform}Step 3: Compare prices and detect gaps
Find the cheapest platform and alert on significant price differences.
Python
def track_all():
for product in PRODUCTS:
print(f"\n{product['name']}:")
prices = {}
for platform, query in product['queries'].items():
r = fetch_price(query, platform)
if r and r['price']:
prices[platform] = r['price']
print(f" {platform}: ${r['price']:.2f}")
else:
print(f" {platform}: not found")
if len(prices) >= 2:
cheapest = min(prices, key=prices.get)
gap = max(prices.values()) - min(prices.values())
print(f" Best: {cheapest} (${prices[cheapest]:.2f}), gap: ${gap:.2f}")
if gap > 10: print(f" ALERT: ${gap:.2f} price gap!")
credits = sum(len(p['queries']) for p in PRODUCTS)
print(f'\nCost: ${credits * 0.005:.3f}')
track_all()Step 4: Store history and detect trends
Append results to a JSON log for trend analysis over time.
Python
def save_and_trend(product_name, prices, path='price_log.jsonl'):
entry = {'product': product_name, 'prices': prices, 'ts': datetime.now().isoformat()}
with open(path, 'a') as f: f.write(json.dumps(entry) + '\n')
history = []
with open(path) as f:
for line in f:
h = json.loads(line)
if h['product'] == product_name: history.append(h)
if len(history) >= 2:
for p in prices:
prev = history[-2]['prices'].get(p)
curr = prices[p]
if prev and curr:
diff = curr - prev
if abs(diff) > 1:
d = 'UP' if diff > 0 else 'DOWN'
print(f" {p} trend: ${prev:.2f} -> ${curr:.2f} ({d})")
# Call after track_all with actual pricesPython Example
Python
import os, requests
API_KEY = os.environ['SCAVIO_API_KEY']
H = {'x-api-key': API_KEY, 'Content-Type': 'application/json'}
def price(query, platform):
body = {'query': query, 'platform': platform, 'country_code': 'us'}
if platform == 'amazon': body['marketplace'] = 'US'
items = requests.post('https://api.scavio.dev/api/v1/search', headers=H, json=body).json().get('products', [])
if not items: return None
try: return float(str(items[0].get('price', '')).replace('$', '').replace(',', ''))
except: return None
for name, q in [('Sony XM5', 'Sony WH-1000XM5'), ('AirPods Pro', 'AirPods Pro 2')]:
print(f'{name}:')
for p in ['amazon', 'walmart']:
pr = price(q, p)
print(f' {p}: ${pr:.2f}' if pr else f' {p}: N/A')JavaScript Example
JavaScript
const API_KEY = process.env.SCAVIO_API_KEY;
const H = { 'x-api-key': API_KEY, 'Content-Type': 'application/json' };
async function getPrice(query, platform) {
const body = { query, platform, country_code: 'us' };
if (platform === 'amazon') body.marketplace = 'US';
const data = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: H, body: JSON.stringify(body)
}).then(r => r.json());
const item = (data.products || [])[0];
if (!item) return null;
const p = parseFloat(String(item.price || '').replace(/[$,]/g, ''));
return isNaN(p) ? null : p;
}
async function track() {
for (const [name, q] of [['Sony XM5', 'Sony WH-1000XM5'], ['AirPods', 'AirPods Pro 2']]) {
console.log(`${name}:`);
for (const p of ['amazon', 'walmart']) {
const pr = await getPrice(q, p);
console.log(` ${p}: ${pr ? `$${pr.toFixed(2)}` : 'N/A'}`);
}
}
}
track().catch(console.error);Expected Output
JSON
Sony WH-1000XM5:
amazon: $298.00
walmart: $278.00
Best: walmart ($278.00), gap: $20.00
ALERT: $20.00 price gap!
AirPods Pro 2:
amazon: $189.99
walmart: $189.99
Best: amazon ($189.99), gap: $0.00
Cost: $0.020