The Problem
Every scraping vendor claims 99% success but nobody publishes apples-to-apples benchmarks on a fixed corpus. Teams evaluating vendors rebuild the benchmark from scratch and waste weeks. A shared public benchmark turns vendor selection into a one-day decision.
How Scavio Helps
- Fixed 500-site corpus eliminates cherry-picking
- Side-by-side success rate, latency, and cost columns
- Reruns monthly to capture vendor drift
- Exportable as CSV for procurement decks
- Covers static HTML, SPA, and auth-gated targets
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "scraping reliability benchmark 2026":
import requests
API_KEY = "your_scavio_api_key"
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={
"x-api-key": API_KEY,
"Content-Type": "application/json",
},
json={"query": query},
)
data = response.json()
for result in data.get("organic_results", [])[:5]:
print(f"{result['position']}. {result['title']}")
print(f" {result['link']}\n")Built for Platform engineers, data engineers, procurement, scraping vendor evaluators
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your scraping reliability benchmark solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (500 credits/month, no credit card required) and scale to paid plans when you need higher volume.