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Automated Property Valuation

Access instant property valuations, automated valuation models (AVMs), and comprehensive comparative market analyses (CMA) from 20+ global real estate platforms.

The Valuation Challenge

Accurate property valuation is critical for investors, lenders, agents, and property owners, but traditional methods have significant limitations.

Expensive Professional Appraisals

  • Costs range from 300 to 600 dollars or more per appraisal for residential properties
  • Commercial properties cost 2000 to 10000 dollars or more
  • Turnaround times of 1-2 weeks
  • Not practical for screening multiple properties or portfolio monitoring

Limited Market Data Access

  • Manually searching sold comps on multiple portals
  • Incomplete transaction history
  • No access to off-market valuations
  • Time-consuming comparable property analysis

Delayed Information

  • Market conditions change faster than appraisal schedules
  • Property values outdated within weeks
  • Missing real-time market movements
  • Cannot respond quickly to opportunities

Geographic Limitations

  • Need different data sources for different markets
  • International valuations require local expertise
  • Inconsistent data formats across regions
  • Expensive to scale across markets

Scalability Challenges

  • Cannot value 50+ properties simultaneously for portfolio analysis
  • Manual CMA reports take hours per property
  • Difficult to track valuation changes over time
  • No systematic approach to bulk valuations

The PropAPIS Solution

PropAPIS provides instant access to automated property valuations from 20+ platforms including Zillow (Zestimate), Redfin (Redfin Estimate), Realtor.com (RealEstimate), Rightmove, Zoopla, and more.

Key Capabilities

  • Instant AVMs: Get platform valuations in seconds via API
  • Multi-Source Validation: Compare estimates from multiple platforms
  • Historical Valuations: Track value changes over time (30 days to 10+ years)
  • Sold Comparables: Access recent sale transactions automatically
  • Active Listings: Compare to similar properties currently for sale
  • Valuation Confidence: Understand estimate accuracy with confidence scores
  • Bulk Processing: Value hundreds of properties simultaneously
  • Global Coverage: Consistent data structure across 20+ markets

Platform Coverage

Access valuations from multiple sources:

  • Zillow: Zestimate for US properties (all 50 states), median error 2.4%
  • Redfin: Redfin Estimate for US major metros, median error 2.2%
  • Realtor.com: RealEstimate for US properties (all 50 states), median error 3.1%
  • Rightmove: Automatic Valuation for UK (England, Wales, Scotland)
  • Zoopla: Zoopla Estimate for UK (all regions), median error 3-5%
  • Idealista: Price Estimate for Spain, Portugal, Italy
  • PropertyGuru: Property Value for Singapore, Malaysia
  • Domain: Domain Estimate for Australia (all states), median error 5-8%

Note: Accuracy varies by market data availability, property type, and location

How It Works

Single Property Valuation

Get instant valuation for any property:

from propapis import PropAPIS

api = PropAPIS(api_key='your_api_key')

# Get Zillow Zestimate
property_data = api.platforms.zillow.get_property(
address='123 Main St, Austin, TX 78701'
)

print(f"Address: {property_data.address}")
print(f"Zestimate: ${property_data.zestimate:,}")
print(f"Valuation Range: ${property_data.zestimate_low:,} - ${property_data.zestimate_high:,}")
print(f"Last Sold: ${property_data.last_sold_price:,} on {property_data.last_sold_date}")

Multi-Source Validation

Compare valuations from different platforms:

# Get Zillow valuation
zillow_data = api.platforms.zillow.get_property('123 Main St, Austin, TX')
zillow_value = zillow_data.zestimate

# Get Redfin valuation
redfin_data = api.platforms.redfin.get_property('123 Main St, Austin, TX')
redfin_value = redfin_data.redfin_estimate

# Get Realtor.com valuation
realtor_data = api.platforms.realtor.get_property('123 Main St, Austin, TX')
realtor_value = realtor_data.real_estimate

# Calculate average
avg_value = (zillow_value + redfin_value + realtor_value) / 3

print(f"\nMulti-Source Valuation:")
print(f" Zillow: ${zillow_value:,}")
print(f" Redfin: ${redfin_value:,}")
print(f" Realtor: ${realtor_value:,}")
print(f" Average: ${avg_value:,.0f}")

Bulk Property Valuation

Value multiple properties at once:

# List of addresses to value
addresses = [
'123 Main St, Austin, TX',
'456 Oak Ave, Austin, TX',
'789 Pine Rd, Austin, TX'
]

# Get valuations for all properties
valuations = []
for address in addresses:
prop = api.platforms.zillow.get_property(address)
valuations.append({
'address': prop.address,
'value': prop.zestimate,
'bedrooms': prop.bedrooms,
'bathrooms': prop.bathrooms,
'sqft': prop.sqft
})

# Display results
for val in valuations:
print(f"{val['address']}: ${val['value']:,}")

Get Comparable Sales

Access recent sold properties for CMA:

# Get sold comparables near target property
sold_comps = api.platforms.zillow.search_sold(
location='123 Main St, Austin, TX',
radius=0.5,
bedrooms=3,
bathrooms=2,
sold_in_last_days=180
)

print(f"\nFound {len(sold_comps)} sold comparables:")
for comp in sold_comps[:5]:
print(f" {comp.address}")
print(f" Sold: ${comp.sold_price:,} on {comp.sold_date}")
print(f" Beds/Baths: {comp.bedrooms}/{comp.bathrooms}")
print(f" Sqft: {comp.sqft:,}")

Track Historical Values

Monitor value changes over time:

# Get historical Zestimate values
property_data = api.platforms.zillow.get_property('123 Main St, Austin, TX')

# Get 12-month value history
history = property_data.zestimate_history

for month in history[-12:]:
print(f"{month['date']}: ${month['value']:,}")

# Calculate year-over-year change
current_value = property_data.zestimate
year_ago_value = history[-12]['value']
yoy_change = ((current_value - year_ago_value) / year_ago_value) * 100

print(f"\nYoY Change: {yoy_change:.1f}%")

Quick Start

from propapis import PropAPIS

api = PropAPIS(api_key='your_api_key')

# Get instant property valuation
property_data = api.platforms.zillow.get_property('123 Main St, Austin, TX')

print(f"Zestimate: ${property_data.zestimate:,}")
print(f"Rent Estimate: ${property_data.rent_zestimate:,}/month")

For detailed code examples and advanced usage, see our API Documentation.