Infrastructure

Smart Rate Limiting

Intelligent request throttling that adapts to website behavior patterns in real-time. Our AI-driven rate management prevents triggers while maximizing extraction throughput.

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0.01%

Block Rate

AI

Adaptive Engine

10K+

Req/min Capacity

Real-Time

Adjustment

Rate Management Capabilities

AI-powered request throttling that maximizes throughput without triggering defenses

Adaptive Delay Algorithms
Machine learning models analyze response patterns in real-time to calculate optimal request delays. The system learns each target site's tolerance thresholds and adjusts automatically.
  • Per-site delay profiles
  • Response time analysis
  • Error rate correlation
  • Dynamic adjustment
Traffic Pattern Analysis
AI studies normal human traffic patterns on target sites -- peak hours, session durations, page-per-visit ratios -- and shapes scraping traffic to match these natural patterns.
  • Diurnal traffic matching
  • Session length modeling
  • Page flow simulation
  • Bounce rate replication
Concurrent Request Optimization
Intelligent management of parallel connections to each target site. Balance throughput against detection risk with automatic scaling based on real-time feedback.
  • Auto-scaling connections
  • Per-domain limits
  • Queue prioritization
  • Backpressure handling
Request Distribution
Distribute requests across multiple IP addresses, sessions, and time windows to prevent any single pattern from triggering rate limit or anti-bot defenses.
  • Multi-IP distribution
  • Time-window spreading
  • Session interleaving
  • Geographic distribution

Throttling Techniques

Multiple layers of intelligent rate control working together

Jitter Injection
Random time variations added between requests to prevent detectable patterns. Jitter follows statistical distributions that mimic natural human browsing gaps.
Response Monitoring
Continuous monitoring of HTTP status codes, response times, and content changes. Early detection of throttling signals triggers automatic rate reduction.
Burst Control
Prevents request bursts that would trigger rate limiters. Smooths out request frequency using token bucket and leaky bucket algorithms.
Graceful Degradation
When rate limits are approached, the system gracefully reduces throughput instead of hitting hard blocks. Maintains data collection continuity.
Progressive Ramp-Up
New scraping targets start with conservative rates that gradually increase as the system learns the site's tolerance. Avoids triggering on first contact.
Custom Rate Policies
Configure custom rate policies per target site, including maximum concurrent requests, minimum delays, time-of-day schedules, and priority levels.

How It Works

From site profiling to adaptive rate management in four phases

01

Site Profiling

Before scraping begins, our AI profiles the target site's infrastructure, CDN, rate limiting mechanisms, and normal traffic patterns.

02

Rate Calculation

An optimal scraping rate is calculated based on the site profile, staying well within detected thresholds while maximizing data throughput.

03

Dynamic Adaptation

During scraping, the rate engine continuously monitors response signals and adjusts request frequency up or down in real-time.

04

Feedback Learning

All rate data and outcomes are fed back into the ML model. The system gets smarter with every scraping session across all clients.

Technical Specifications

Detailed specs for our smart rate limiting engine

Min Request DelayConfigurable (10ms+)
Max Concurrency10,000+ per target
Jitter Range50ms - 30s (adaptive)
Rate AlgorithmsToken bucket, leaky bucket, sliding window
Response MonitoringReal-time per request
Block Detection<50ms reaction time
Ramp-Up StrategyProgressive (5-30 min)
Custom PoliciesPer-site, per-domain

Maximize Throughput Without Getting Blocked

Our smart rate limiting ensures your scraping operations extract maximum data while staying completely undetected.

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Our team will work with you to build a custom data extraction solution that meets your specific needs.

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contact@datawebot.com

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