Throughput: 50K sessions/hr
Launch: <500ms
Solution: Web Scraping

Scale-First
Extraction
Engineered

High-volume web scraping is an industrial workload. What matters is not whether a single session can load a page. What matters is whether you can sustain throughput at high concurrency, stable access under drift, and predictable cost per successful session.

<500ms
Launch Time
Fingerprints
50K+
Sessions/Hour
-40%
Proxy Cost
scraping_cluster , concurrent execution
Orchestrator
Dispatch queue: 2,847 pending
S-4821
rendering
S-4822
extracting
S-4823
launching
S-4824
complete
S-4825
challenge
S-4826
extracting
S-4827
launching
S-4828
complete
94.2%
Success Rate
487ms
Avg Launch
1.3%
Retry Rate
Concurrency
Horizontal Scale
Predictable Failure Patterns

What Breaks at Scale
And Why It's Predictable

01

Drift Becomes an Outage Multiplier

At high volume, small detection shifts cascade: success rate drops → retries spike → proxy spend explodes → latency climbs → backlog grows → SLAs break.

The failure is usually partial degradation, not total block

02

Automation Artifacts Amplified by Repetition

High-volume pipelines are measurable. Browser or control plane leaks become statistically obvious, blocking becomes correlated across sessions.

Fixes require constant patching and target-specific hacks

03

Launch Overhead Dominates Unit Economics

In bulk collection, the most expensive thing is often not the scrape, it's spinning up the browser and paying for time to first render.

Slow launch bounds throughput and raises infrastructure spend

04

Proxy Spend Without Routing Policy

Naively proxying everything through premium egress produces unnecessary bandwidth cost, slower pipelines, and higher variance.

Routing policy keeps cost stable as targets harden

Launch: 487ms Memory: 142MB per session CPU: 0.3 cores average Render: 1.2s to interactive Extract: 0.8s DOM parse Total session: 3.4s Throughput: 847 sessions/minute
Scale-First Engineering

Optimized for
Concurrency
And Automation

Unlike "anti-detect browsers" designed for human operators, Undetect is engineered for automation-first execution with aggressive performance and resource optimization.

Automation is First-Class

Programmatic control, repeatability, pipeline integration, not human-driven UI workflows.

Resource Efficiency as Product Requirement

Reduced memory overhead, CPU churn, and variance between sessions under load.

Sub-500ms Browser Launch

Shaving seconds off session startup is a fundamental unit-economics improvement.

performance_benchmark , production cluster
Browser Launch 487ms
0ms 2000ms
Memory per Session 142MB
CPU Cores (avg) 0.3
Sustained Throughput 847/min
Per-Node Capacity 2,400 concurrent
Typical Alternative
3-8s Launch
Core Capabilities

Built for Bulk
Web Scraping

Predictable Concurrency

Sustained high concurrency without stability experiments. Coherent behavior under load where many "stealth" products degrade.

Unlimited Fingerprints

No metering. Large, continuously refreshed database removes the bottleneck of synthesizing low-quality profiles or reusing small pools.

Chromium-Level Evasion

Stealthium solves evasion inside Chromium and V8, avoiding brittle patch stacks that fall apart under repeated, measurable automation.

Optional Proxies + Routing

BYO or use our panel. Per-URL routing reserves premium egress for high-risk endpoints, reducing bandwidth waste.

Integrated Captcha Handling

Captchas treated as normal operating conditions. Integrated handling so scraping code doesn't devolve into retry logic.

Operational Clarity

Explainable failures: target change, route quality, challenge frequency, not superstition. Metrics that are controllable and improvable.

Success Metrics

What "Good"
Looks Like

A high-quality bulk scraping system should show controllable, improvable metrics, not mystery.

Stable Success Rate Under Drift

No silent coverage collapse when targets change.

Bounded Retries

No cost blowout during partial degradation.

Predictable Cost Per Session

Unit economics you can forecast and optimize.

Tight Launch-to-Action Latency

Startup isn't the throughput bottleneck.

Operational Dashboard Live
Success Rate (24h) 94.2%
Cost/Session
$0.0047
Retry Rate
1.3%
P95 Latency
3.2s
Sessions/Hour
50,847
Failures attributed: target drift (67%), route quality (23%), challenge spike (10%)
Proof Over Representative Window

Validate Sustained
Throughput Under Drift

A credible POC is not a single run. We validate over a representative window: sustained throughput at target concurrency, launch latency distribution, success rate across target sets, and operational recovery when targets change.

Sustained
Throughput
<500ms
Launch p95
Stable
Success Rate
Bounded
Retries
Explainable
Failures