The Problem
Amazon product scrapers break constantly. Amazon rotates layouts, changes anti-bot measures, and blocks IPs aggressively. Teams running their own Amazon scrapers spend 5-10 hours/month fixing broken selectors, rotating proxies, and handling CAPTCHAs. The data pipeline that was supposed to run unattended requires constant babysitting. Every layout change on Amazon triggers an emergency fix cycle.
The Scavio Solution
Replace brittle Amazon scrapers with Scavio's Amazon search endpoint. Send a query, get structured product data back: title, price, rating, review count, ASIN, and availability. No selectors to maintain, no proxies to rotate, no CAPTCHAs to solve. The endpoint handles Amazon's anti-bot measures internally and returns consistent JSON regardless of Amazon's layout changes.
Before
Before: A team ran a Puppeteer-based Amazon scraper on AWS. It broke 3-4 times per month when Amazon changed layouts. Each fix took 2-4 hours of engineering time. Monthly cost: $150 (EC2 + proxies) plus 12+ hours of maintenance.
After
After: The same team uses Scavio's Amazon endpoint. Zero breakages in 6 months. Monthly cost: $30 for 7K queries. Engineering maintenance time: zero. The Puppeteer infrastructure was decommissioned entirely.
Who It Is For
E-commerce teams, price monitoring services, and product research tools that need reliable Amazon data without maintaining scrapers. Anyone tired of fixing broken Amazon selectors.
Key Benefits
- Zero maintenance: no selectors, proxies, or CAPTCHAs to manage
- Structured JSON with price, rating, ASIN, and availability fields
- $30/mo for 7K queries replaces $150/mo scraping infrastructure
- Consistent data format regardless of Amazon layout changes
- Save 12+ hours/mo of scraper maintenance engineering time
Python Example
import requests
API_KEY = "your_scavio_api_key"
def search_amazon(query: str, num_results: int = 10) -> list:
r = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": API_KEY},
json={"platform": "amazon", "query": query},
timeout=15,
)
data = r.json()
return [{
"title": p.get("title"),
"price": p.get("price"),
"rating": p.get("rating"),
"reviews": p.get("reviews"),
"asin": p.get("asin"),
"link": p.get("link"),
} for p in data.get("organic", [])[:num_results]]
products = search_amazon("wireless noise cancelling headphones")
for p in products:
print(f"{p["title"][:60]} | ${p["price"]} | {p["rating"]} stars ({p["reviews"]} reviews)")JavaScript Example
const API_KEY = "your_scavio_api_key";
async function searchAmazon(query, numResults = 10) {
const res = await fetch("https://api.scavio.dev/api/v1/search", {
method: "POST",
headers: { "x-api-key": API_KEY, "content-type": "application/json" },
body: JSON.stringify({ platform: "amazon", query }),
});
const data = await res.json();
return (data.organic || []).slice(0, numResults).map(p => ({
title: p.title,
price: p.price,
rating: p.rating,
reviews: p.reviews,
asin: p.asin,
link: p.link,
}));
}
const products = await searchAmazon("wireless noise cancelling headphones");
for (const p of products) {
console.log(`${p.title.slice(0, 60)} | $${p.price} | ${p.rating} stars (${p.reviews} reviews)`);
}Platforms Used
Amazon
Product search with prices, ratings, and reviews