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Anti-Detection Technology

How PropAPIS achieves 99.9% success rate accessing real estate platforms.

Overview

PropAPIS uses enterprise-grade anti-detection technology to reliably access 20+ real estate platforms. Our infrastructure handles all complexity automatically - you just call the API.

Technology Stack

Residential Proxy Network

  • Pool Size: 10M+ residential IPs
  • Geographic Distribution: All US states, UK, EU, Asia-Pacific
  • Rotation: Automatic IP rotation per request
  • Success Rate: 99.9% first-attempt success
  • Speed: Average 500-800ms response time

Browser Fingerprinting

Randomized browser characteristics:

  • User agents (Chrome, Firefox, Safari variations)
  • Screen resolutions and color depths
  • Timezone and language settings
  • Plugin configurations
  • Canvas and WebGL fingerprints

Request Management

Intelligent rate limiting:

  • Platform-specific rate limits respected
  • Distributed request timing
  • Automatic retry with exponential backoff
  • Request queue management
  • Peak hour load balancing

How It Works

Request Flow

Your API Call → PropAPIS Gateway → Proxy Selection → Target Platform → Response

Each request:

  1. Routed through residential proxy
  2. Assigned randomized browser fingerprint
  3. Sent with realistic headers and timing
  4. Response validated and cleaned
  5. Returned to you in JSON format

Automatic Handling

PropAPIS automatically handles:

  • IP rotation
  • CAPTCHA solving (when encountered)
  • Cookie management
  • Session persistence
  • Error retry logic
  • Platform updates and changes

Reliability Features

99.9% Success Rate

Achieved through:

  • Multi-proxy fallback chains
  • Real-time platform monitoring
  • Automatic adaptation to changes
  • Dedicated infrastructure per platform

Zero Maintenance

You never worry about:

  • Proxy management
  • Rate limit adjustments
  • Platform HTML changes
  • Anti-bot measure updates
  • Infrastructure scaling

Compliance

Legal data extraction:

  • Publicly available data only
  • Respects robots.txt where applicable
  • Rate limiting prevents server overload
  • Terms of service compliant methods

Best Practices

Optimize Request Efficiency

Use bulk endpoints when available:

# Good: Bulk search
listings = api.platforms.zillow.search_listings(
location='Austin, TX',
max_results=1000
)

# Less efficient: Individual requests
for address in addresses:
prop = api.platforms.zillow.get_property(address)

Cache Frequently Accessed Data

Reduce API calls with caching:

from functools import lru_cache

@lru_cache(maxsize=1000)
def get_property_cached(address):
return api.platforms.zillow.get_property(address)

Use Webhooks for Real-Time Data

Instead of polling, use webhooks:

# Set up webhook for new listings
api.webhooks.create(
event='new_listing',
url='https://yourapp.com/webhook/new-listing',
filters={'location': 'Austin, TX'}
)

Rate Limits

Standard Plans

  • Starter: 100 requests per minute
  • Professional: 500 requests per minute
  • Enterprise: 2000 requests per minute

Best Practices

  • Spread requests over time
  • Use bulk endpoints
  • Cache results
  • Implement exponential backoff

Monitoring

Health Dashboard

Track your usage:

  • Requests per minute
  • Success rate
  • Average response time
  • Error types

Alerts

Get notified when:

  • Success rate drops below 95%
  • Rate limit approaching
  • Platform issues detected

Technical Specifications

Response Times

  • Average: 500-800ms
  • P95: 1500ms
  • P99: 3000ms

Availability

  • Uptime SLA: 99.9%
  • Incident response: Within 15 minutes
  • Platform monitoring: 24/7

Data Freshness

  • Active listings: 15-30 minute updates
  • Sold data: Daily updates
  • Market statistics: Daily updates

Get Started

All anti-detection is handled automatically:

from propapis import PropAPIS

api = PropAPIS(api_key='your_api_key')

# That's it - just use the API
listings = api.platforms.zillow.search_listings(location='Austin, TX')

For API documentation, see our API Reference.