Proxy marketing claims are worthless. "Millions of IPs", "99% uptime", "best-in-class performance" every provider says the same thing. We decided to actually measure it. Over four weeks, we ran 50,000 requests through the top residential proxy providers and published the real numbers.
Test Methodology
We wanted numbers that reflect real-world usage, not cherry-picked benchmarks. Here's exactly what we did:
- Total requests: 50,000 per provider (200,000+ total)
- Target sites: 5 major sites with bot protection an e-commerce platform, a travel aggregator, a social media site, a e-commerce retailer, and a financial data site
- Geo targets: US, UK, Germany, Japan 25% each
- Test tool: Python
requestslibrary + custom Scrapy spider - Success criteria: HTTP 200 with expected content (not a CAPTCHA or block page)
- Measurement period: 4 weeks, with requests distributed across all hours
import requests
import time
import statistics
from datetime import datetime
def test_proxy(proxy_url, target, n=1000):
"""Test a proxy against a target URL n times."""
results = {"success": 0, "blocked": 0, "timeout": 0, "latencies": []}
proxies = {"http": proxy_url, "https": proxy_url}
for i in range(n):
start = time.time()
try:
r = requests.get(target, proxies=proxies, timeout=30)
latency = time.time() - start
# Check for block/CAPTCHA patterns
if r.status_code == 200 and "captcha" not in r.text.lower():
results["success"] += 1
results["latencies"].append(latency)
else:
results["blocked"] += 1
except requests.Timeout:
results["timeout"] += 1
except Exception:
results["timeout"] += 1
results["success_rate"] = results["success"] / n * 100
results["avg_latency"] = statistics.mean(results["latencies"]) if results["latencies"] else 0
return resultsBenchmark Results
Results averaged across all 5 target sites and all 4 geographic regions:
| Provider | Success Rate | Avg Speed | IP Pool | Price/GB |
|---|---|---|---|---|
| ZentisLabs | 94.2% | 1.8s | 10M+ | $2.49 |
| Provider A | 87.1% | 2.4s | 8M | $8.00 |
| Provider B | 83.7% | 3.1s | 5M | $9.50 |
| Provider C | 79.2% | 2.8s | 3M | $12.00 |
Key finding: price does NOT correlate with performance. The most expensive provider (Provider C at $12/GB) had the lowest success rate. ZentisLabs delivered the best results at less than a quarter of the price.
Per-Site Breakdown
Performance varied significantly by target site. Here's where the gaps widen:
| Site Type | ZentisLabs | Provider A | Provider B | Provider C |
|---|---|---|---|---|
| E-commerce (Akamai) | 96.1% | 89.3% | 82.1% | 76.4% |
| e-commerce Retailer | 91.8% | 81.2% | 77.4% | 70.1% |
| Travel (Cloudflare) | 95.3% | 88.7% | 86.2% | 82.3% |
| Social Media | 93.4% | 85.9% | 83.1% | 79.8% |
| Financial Data | 94.4% | 90.4% | 84.7% | 87.4% |
Why ZentisLabs Won
- Pool size matters: 10M+ IPs means you hit fewer previously-flagged addresses. Smaller pools get recycled faster and accumulate abuse history.
- IP quality control: ZentisLabs actively rotates out IPs with degraded reputation scores. Other providers serve whatever's available.
- Routing optimization: ZentisLabs's gateway selects optimal exit nodes based on target domain US residential IPs for US targets, EU for EU targets improving geo-accuracy and success rates.
- Uptime: 99.7% gateway uptime measured over the test period. Provider B had two incidents totaling 4+ hours of downtime.
How to Test Your Own Setup
Before committing to any provider, run your own benchmark:
import requests, time, statistics
def benchmark_proxy(proxy_url, n=100):
"""Quick proxy benchmark run before buying in bulk."""
proxies = {"http": proxy_url, "https": proxy_url}
targets = [
"https://httpbin.org/ip", # Basic connectivity
"https://www.google.com", # Light protection
"https://www.amazon.com/robots.txt", # Medium protection
]
for target in targets:
latencies, successes = [], 0
print(f"\nTesting {target}...")
for _ in range(n):
try:
t = time.time()
r = requests.get(target, proxies=proxies, timeout=15)
if r.status_code == 200:
latencies.append(time.time() - t)
successes += 1
except: pass
print(f" Success rate: {successes/n*100:.1f}%")
if latencies:
print(f" Avg latency: {statistics.mean(latencies)*1000:.0f}ms")
print(f" P95 latency: {sorted(latencies)[int(len(latencies)*0.95)]*1000:.0f}ms")
# Test ZentisLabs
benchmark_proxy("http://USER:PASS@gate.zentislabs.com:7777")Always test with your actual target URLs, not just httpbin. Success rate against httpbin.org means nothing for a site protected by Akamai or Cloudflare.