The Problem
Running a scraper in 2026 means running a second company. You pick a residential proxy vendor, negotiate bandwidth, rotate sticky sessions, sign up for a CAPTCHA solver, wire in retry logic, and monitor bans per subnet. Every month the ban rate drifts, the solver accuracy dips, and someone on the team burns a week diagnosing why a datacenter range suddenly fails. The infrastructure bill keeps climbing while the actual signal you wanted, search results, takes a back seat to operations. Engineering time goes to blocks, not to product.
The Scavio Solution
Scavio operates the proxy fleet, the CAPTCHA workflow, the browser farm, and the retry logic so you never touch any of it. A single HTTPS call to our endpoint returns parsed results. Block rates, header rotation, TLS fingerprints, and geo routing are all internal concerns. You budget for API calls, not gigabytes of bandwidth. There is no session to pin, no cookie jar to manage, no solver balance to top up. The same endpoint works the same way at three requests a day or three million.
Before
Before Scavio, a typical stack was Bright Data plus 2Captcha plus Puppeteer plus a homegrown retry layer. Three vendor dashboards, two invoices, and a pager duty rotation existed purely to keep the pipeline unblocked.
After
After Scavio, there is one dashboard, one invoice, and one API key. Blocks and CAPTCHAs stop being a line item on the team's roadmap. Engineers spend their sprints on features again.
Who It Is For
Data teams and backend engineers who inherited a scraping stack and want to retire it. Anyone whose weekly standup still includes phrases like ban rate, solver accuracy, or residential bandwidth.
Key Benefits
- Zero proxy configuration, zero CAPTCHA solvers to integrate
- Flat per-search pricing replaces variable bandwidth and solver bills
- One vendor to trust instead of four fragile dependencies
- Consistent success rate above ninety-nine percent across platforms
- No session pinning, fingerprint tuning, or header rotation on your side
Python Example
import requests
API_KEY = "your_scavio_api_key"
def search(query: str, platform: str = "google"):
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": API_KEY},
json={"platform": platform, "query": query},
timeout=15,
)
response.raise_for_status()
return response.json()
results = search("best standing desk 2026", platform="google")
for item in results["organic"][:10]:
print(item["position"], item["title"], item["link"])JavaScript Example
const API_KEY = "your_scavio_api_key";
async function search(query, platform = "google") {
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, query }),
});
if (!res.ok) throw new Error(`scavio ${res.status}`);
return res.json();
}
const results = await search("best standing desk 2026");
for (const item of results.organic.slice(0, 10)) {
console.log(item.position, item.title, item.link);
}Platforms Used
Web search with knowledge graph, PAA, and AI overviews
YouTube
Video search with transcripts and metadata
Amazon
Product search with prices, ratings, and reviews
Walmart
Product search with pricing and fulfillment data