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:
- Routed through residential proxy
- Assigned randomized browser fingerprint
- Sent with realistic headers and timing
- Response validated and cleaned
- 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.