The Problem
Walmart's website actively blocks scrapers with bot detection, Cloudflare challenges, and IP bans. Maintaining a Walmart price scraper requires rotating proxies and frequent selector updates, costing more than the data is worth for small operations.
The Scavio Solution
The Scavio search API returns Walmart product listings with current prices when you set platform to walmart. No browser automation, no proxies. Store prices daily in SQLite and alert on drops over 10%.
Before
Playwright script loads Walmart product pages through rotating proxies. Gets blocked 40% of the time. Proxy cost: $25/month. Script maintenance: 2-3 hours/month. Returns inconsistent price data when bot detection triggers.
After
POST to Scavio with platform:walmart returns structured product data including price. No proxies needed. 99%+ success rate. Store results in SQLite. Alert when price drops. Total cost: under $1/month for 100 tracked products.
Who It Is For
E-commerce analysts, deal trackers, and consumers who want to monitor Walmart prices without scraping infrastructure or expensive data providers.
Key Benefits
- No proxy costs or bot detection issues
- Structured JSON: title, price, rating, reviews
- Same pattern works for Amazon (platform:amazon)
- Daily tracking with SQLite and alert thresholds
Python Example
import requests
import re
def get_walmart_price(query: str, api_key: str) -> dict | None:
r = requests.post(
"https://api.scavio.dev/api/v1/search",
json={"query": query, "platform": "walmart", "num_results": 5},
headers={"x-api-key": api_key}, timeout=20
)
r.raise_for_status()
products = r.json().get("organic_results", [])
if not products:
return None
def parse_price(s):
m = re.search(r"[\d.]+", (s or "").replace(",",""))
return float(m.group()) if m else None
priced = [(parse_price(p.get("price","")), p) for p in products]
priced = [(pr, p) for pr, p in priced if pr]
if not priced: return None
pr, p = min(priced, key=lambda x: x[0])
return {"title": p.get("title"), "price": pr, "url": p.get("link")}
result = get_walmart_price("Sony WH-1000XM5", "your-scavio-api-key")
if result:
print(f"{result['title'][:60]} | ${result['price']}")JavaScript Example
async function getWalmartPrice(query, apiKey) {
const res = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST',
headers: { 'Content-Type': 'application/json', 'x-api-key': apiKey },
body: JSON.stringify({ query, platform: 'walmart', num_results: 5 })
});
const data = await res.json();
const products = data.organic_results ?? [];
const parsePrice = s => { const m = s?.replace(/,/g,'').match(/[\d.]+/); return m ? parseFloat(m[0]) : null; };
const priced = products.map(p => ({ ...p, _price: parsePrice(p.price) })).filter(p => p._price);
if (!priced.length) return null;
return priced.reduce((a, b) => a._price < b._price ? a : b);
}Platforms Used
Walmart
Product search with pricing and fulfillment data