Real Estate Aggregator — Multi-Platform Property Search

Search Zillow, Redfin, Realtor.com, and Apartments.com in a single run. This premium actor aggregates listings from all four platforms, deduplicates them by normalized address, and outputs unified property data with cross-platform price comparison and market analytics.

Why use an aggregator?

Each real estate platform has different listings, different prices, and different data quality. Searching them one by one is slow and you miss overlaps. This actor:

• Searches all 4 platforms simultaneously — one input, one run, one dataset
• Deduplicates by address — the same property listed on Zillow and Redfin becomes one record with data from both
• Compares prices across platforms — see if Zillow shows a different price than Redfin for the same property
• Computes market analytics — median price, price per sqft, days on market, and more
• Saves hours of manual work — no more opening 4 tabs and cross-referencing

Use Cases

Home Buyers

Search once, see every listing across all major platforms. Compare prices and find listings that only appear on one platform (hidden gems).

Real Estate Investors

Get comprehensive market data for any US location. Median price, price per sqft, and property type distribution help you evaluate markets quickly.

Real Estate Agents

Monitor competing listings across all platforms. See which properties are listed where and at what price.

Market Analysts

Pull structured data from 4 platforms into one clean dataset. Use the market analytics summary for reports and comparisons.

Property Managers

Find rental listings across Apartments.com and the other platforms. Compare rental rates in your target area.

Input Parameters

Parameter	Type	Required	Description
location	string	Yes	City and state (e.g., "Miami, FL"), ZIP code, or neighborhood
listingType	enum	No	for_sale (default), for_rent, or recently_sold
minPrice	integer	No	Minimum price filter
maxPrice	integer	No	Maximum price filter
minBeds	integer	No	Minimum bedrooms
minBaths	integer	No	Minimum bathrooms
propertyType	enum	No	any (default), house, condo, townhouse, apartment, land
maxResults	integer	No	Max deduplicated results (default: 200)
proxyConfiguration	object	No	Apify proxy config (residential recommended)

Output Schema

Each property record includes:

Core Fields

• normalizedAddress — Deduplicated address key
• fullAddress — Complete street address
• bestPrice / priceFormatted — Lowest price found across platforms
• beds, baths, sqft — Property dimensions
• lotSize, yearBuilt — Lot and building info
• propertyType — House, Condo, Townhouse, etc.
• listingType — For sale, for rent, recently sold

Cross-Platform Data

• zillowUrl, redfinUrl, realtorUrl, apartmentsUrl — Direct links per platform
• zillowPrice, redfinPrice, realtorPrice, apartmentsPrice — Price on each platform
• sources — Which platforms listed this property
• sourcesCount — Number of platforms (higher = more visibility)

Platform-Specific

• zestimate — Zillow's automated valuation
• redfinEstimate — Redfin's automated valuation
• daysOnZillow, daysOnRedfin — Days on market per platform
• hoaFee — HOA dues (from Redfin)

Enrichment

• description — Property description
• agentName, agentPhone, brokerName — Listing agent info
• photos — Aggregated photo URLs from all platforms
• priceHistory — Combined price history from all platforms

Market Analytics (first record in dataset)

The first record in the output has _type: "market_analytics" and includes:

• medianPrice, averagePrice, minPrice, maxPrice
• medianPricePerSqft, averagePricePerSqft
• averageBeds, averageBaths, averageSqft
• averageDaysOnMarket, medianDaysOnMarket
• propertyTypeDistribution — Count per property type
• propertiesOnMultiplePlatforms — How many properties appear on 2+ platforms
• platformBreakdown — Raw count per platform before dedup
• duplicatesRemoved — How many duplicates were merged

Example Output

{
  "normalizedAddress": "123 main st miami fl 33101",
  "fullAddress": "123 Main St, Miami, FL 33101",
  "bestPrice": "$450,000",
  "beds": 3,
  "baths": 2,
  "sqft": 1850,
  "lotSize": "5000 sqft",
  "yearBuilt": 1995,
  "propertyType": "House",
  "listingType": "for_sale",
  "zillowUrl": "https://www.zillow.com/homedetails/123-main-st/12345_zpid/",
  "redfinUrl": "https://www.redfin.com/FL/Miami/123-Main-St/home/67890",
  "realtorUrl": "https://www.realtor.com/realestateandhomes-detail/123-Main-St_Miami_FL_33101",
  "zillowPrice": "$450,000",
  "redfinPrice": "$449,000",
  "realtorPrice": "$450,000",
  "zestimate": 465000,
  "redfinEstimate": 458000,
  "sources": "zillow, redfin, realtor",
  "sourcesCount": 3,
  "photos": ["https://photos.zillowstatic.com/...", "https://ssl.cdn-redfin.com/..."],
  "priceHistory": [
    {"date": "2025-06-15", "price": 475000, "event": "Listed for sale", "source": "zillow"},
    {"date": "2025-07-01", "price": 450000, "event": "Price reduced", "source": "redfin"}
  ]
}

Extraction Strategies

The actor uses multiple extraction strategies per platform, falling through to the next if one fails:

Platform	Strategy 1	Strategy 2	Strategy 3	Strategy 4
Zillow	__NEXT_DATA__ JSON	Apollo preloaded data	DOM selectors	—
Redfin	Stingray API JSON	DOM selectors	CSV endpoint	—
Realtor.com	__NEXT_DATA__ JSON	JSON-LD (Schema.org)	Script state objects	DOM selectors
Apartments.com	JSON-LD	__PRELOADED_STATE__	DOM selectors	—

Pricing

This actor uses Pay Per Event pricing:

• $0.01 per unique property found (after deduplication)
• You only pay for deduplicated results, not raw platform hits
• A property found on all 4 platforms still costs only $0.01
• Market analytics record is included free

Example costs:

• 50 properties in a small town: $0.50
• 200 properties in a city: $2.00
• 500 properties in a metro area: $5.00

Tips for Best Results

1. Use residential proxies — All four platforms have anti-bot measures. Datacenter IPs will get blocked quickly.
2. Start with a specific location — "Miami Beach, FL" works better than just "Miami" (fewer results, faster run).
3. Set price filters — Narrower searches return more accurate results from each platform.
4. Check the analytics record — The first record in your dataset has market statistics. Use it for quick market evaluation.
5. Look at sourcesCount — Properties listed on 3-4 platforms are typically "real" active listings, not stale data.

Limitations

• US locations only (all four platforms are US-focused)
• Apartments.com only has rental listings — it won't contribute data for "for_sale" searches
• Some platforms may block requests even with proxies; the actor will log warnings and continue with available data
• Price history depth varies by platform (Zillow tends to have the most historical data)
• Results depend on what each platform returns for your search — not all properties appear on all platforms

Changelog

v1.0 (2026-03-02)

• Initial release
• 4-platform aggregation: Zillow, Redfin, Realtor.com, Apartments.com
• Address normalization and deduplication engine
• Market analytics computation
• PPE pricing at $0.01 per unique property

Integration — Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("sovereigntaylor/real-estate-aggregator").call(run_input={
    "searchTerm": "example query",
    "maxResults": 50
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item.get('title', item.get('name', 'N/A'))}")

Integration — JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('sovereigntaylor/real-estate-aggregator').call({
    searchTerm: 'example query',
    maxResults: 50
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => console.log(item.title || item.name || 'N/A'));