The Problem
No-code scraper tools (Apify, Browse AI, Instant Data Scraper) fail on Cloudflare-protected sites. They get blocked by bot detection, return empty results, or trigger challenge pages. Users spend hours tweaking selectors and proxy settings only to have the scraper break again when the target site updates its protection. For data that is publicly available in search results, scraping the site directly is the wrong approach.
The Scavio Solution
Query Scavio's search API for the data you need instead of scraping the protected site. If you need product prices, search Amazon. If you need business information, search Google. If you need discussions, search Reddit. The API handles bot detection, proxies, and parsing internally. You get structured JSON without ever touching the protected site.
Before
Before switching to API, a small e-commerce team used Browse AI to scrape competitor prices from three Cloudflare-protected sites. The scrapers broke every 2-3 weeks. Each fix took 2-4 hours of reconfiguring selectors. They missed a major competitor price drop because the scraper had been silently failing for a week.
After
After switching to Scavio, the team queries Amazon and Google for competitor product listings. The API returns structured price data without hitting the protected sites. Scraper maintenance hours dropped to zero. They caught every competitor price change within 24 hours for the past four months.
Who It Is For
No-code automation users and small teams whose scrapers keep breaking on Cloudflare-protected sites, especially for product pricing and competitive intelligence.
Key Benefits
- Bypass Cloudflare bot protection entirely by not scraping directly
- No selectors to maintain, no proxy configuration
- Structured JSON replaces brittle HTML parsing
- Works immediately with no-code tools via HTTP request nodes
- Amazon and Walmart product data available through one endpoint
Python Example
import requests, os, json
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def get_product_data(product: str, platform: str = 'amazon') -> list[dict]:
"""Get product data via API instead of scraping Cloudflare sites."""
r = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': platform, 'query': product}, timeout=10).json()
products = []
for o in r.get('organic', [])[:5]:
products.append({
'title': o.get('title'), 'price': o.get('price'),
'url': o.get('link'), 'rating': o.get('rating')
})
return products
amazon = get_product_data('wireless noise canceling headphones')
walmart = get_product_data('wireless noise canceling headphones', 'walmart')
for p in amazon + walmart:
print(json.dumps(p))JavaScript Example
const H = { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' };
async function getProductData(product, platform = 'amazon') {
const r = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: H,
body: JSON.stringify({ platform, query: product })
}).then(r => r.json());
return (r.organic || []).slice(0, 5).map(o => ({
title: o.title, price: o.price, url: o.link, rating: o.rating
}));
}
const [amazon, walmart] = await Promise.all([
getProductData('wireless noise canceling headphones'),
getProductData('wireless noise canceling headphones', 'walmart')
]);
console.log([...amazon, ...walmart]);Platforms Used
Web search with knowledge graph, PAA, and AI overviews
Amazon
Product search with prices, ratings, and reviews
Walmart
Product search with pricing and fulfillment data