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Tutorial

How to Build a Multi-Platform Price Monitor

Track product prices across Amazon, Walmart, and Google Shopping with one API. Automated daily price monitoring.

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Product pricing changes across Amazon, Walmart, and Google Shopping daily. This tutorial builds a price monitor that checks all three platforms with one API key.

Prerequisites

  • Scavio API key
  • Python 3.8+
  • SQLite for price history

Walkthrough

Step 1: Define products to monitor

List products with identifiers per platform.

Python
products = [
    {'name': 'AirPods Pro', 'amazon_query': 'Apple AirPods Pro', 'walmart_query': 'AirPods Pro', 'asin': 'B0D1XD1ZV3'},
    {'name': 'Kindle Paperwhite', 'amazon_query': 'Kindle Paperwhite', 'walmart_query': 'Kindle Paperwhite'},
]

Step 2: Check Amazon pricing

Get current Amazon price and availability.

Python
import requests, os
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}

def amazon_price(query):
    r = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
        json={'platform': 'amazon', 'query': query}).json()
    results = r.get('results', [])
    return {'price': results[0].get('price') if results else None,
            'rating': results[0].get('rating') if results else None}

Step 3: Check Walmart pricing

Get current Walmart price.

Python
def walmart_price(query):
    r = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
        json={'platform': 'walmart', 'query': query}).json()
    results = r.get('results', [])
    return {'price': results[0].get('price') if results else None}

Step 4: Store and alert on price changes

SQLite tracks prices; alerts on significant changes.

Python
import sqlite3
conn = sqlite3.connect('prices.db')
conn.execute('CREATE TABLE IF NOT EXISTS prices (date TEXT, product TEXT, platform TEXT, price REAL)')

def check_price_change(product, platform, new_price):
    last = conn.execute('SELECT price FROM prices WHERE product=? AND platform=? ORDER BY date DESC LIMIT 1',
        (product, platform)).fetchone()
    if last and abs(new_price - last[0]) / last[0] > 0.05:
        send_alert(f'{product} on {platform}: {last[0]} -> {new_price}')

Python Example

Python
# 5 products × 3 platforms = 15 queries/day = $0.075/day
# Monthly: $2.25 for daily price monitoring across 3 marketplaces

JavaScript Example

JavaScript
const amazon = await fetch('https://api.scavio.dev/api/v1/search', {
  method: 'POST', headers: {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'},
  body: JSON.stringify({platform: 'amazon', query: productName})
});

Expected Output

JSON
Daily price tracking across Amazon + Walmart + Google Shopping. SQLite history, 5% change alerts, one API key for all platforms.

Related Tutorials

  • How to Automate Product Research for Dropshipping with APIs

Frequently Asked Questions

Most developers complete this tutorial in 15 to 30 minutes. You will need a Scavio API key (free tier works) and a working Python or JavaScript environment.

Scavio API key. Python 3.8+. SQLite for price history. A Scavio API key gives you 50 free credits on signup.

Yes. The free tier includes 50 credits on signup, which is more than enough to complete this tutorial and prototype a working solution.

Scavio has a native LangChain package (langchain-scavio), an MCP server, and a plain REST API that works with any HTTP client. This tutorial uses the raw REST API, but you can adapt to your framework of choice.

Related Resources

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Track Products Across Amazon, Walmart, and Google Shopping

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Walmart Seller Product Intelligence

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Start Building

Track product prices across Amazon, Walmart, and Google Shopping with one API. Automated daily price monitoring.

Get Free API KeyRead the Docs
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