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● Live · Real Estate Data Intelligence & Scraping USA

Real Estate Data Scraping & Intelligence API — USA

The most powerful Real Estate Data Scraping platform in the USA — delivering real-time real estate data insights from 100M+ property listings across Zillow, Redfin, Realtor.com, MLS feeds & more. Track prices, inventory, market trends, rental rates, and agent data with real estate data intelligence via a single REST API.

100M+US Listings
50+Platforms
99.7%Uptime SLA
<2sAvg Response
zillow_listing.json
{
  "listing_id": "RD-US-ZL-88421030",
  "platform": "zillow",
  "zpid": "88421030",
  "address": "2847 Maple Grove Dr, Austin, TX",
  "listing_type": "For Sale",
  "price_usd": 649000,
  "price_per_sqft": 312,
  "bedrooms": 4,
  "bathrooms": 3,
  "sqft": 2081,
  "days_on_market": 12,
  "status": "Active",
  "hoa_fee_monthly": 195,
  "zestimate": 661000,
  "price_reduced": false,
  "scraped_at": "2025-06-04T10:18:00Z"
}
50 States
Full US Coverage
80+ Fields
Per Property Record
15min
New Listing Alert
MLS
Cross-Platform Match
ZIP
Hyper-Local Pricing

What Is Real Estate Data Scraping

Turn Real-Time Property Data into Strategic Advantage

Real estate data scraping is the systematic extraction of property listings, pricing, market trends, rental rates, tax records, and agent data from real estate platforms at scale. The US residential and commercial real estate market — valued at over $43 trillion — is uniquely data-rich: prices vary by ZIP code, listing statuses change by the hour, and critical intelligence like price reductions, days on market, HOA fees, and cap rates exist across dozens of fragmented platforms. Our real estate data intelligence platform captures it all — normalised, timestamped, and delivered as structured JSON so your teams can power AVM models, investment dashboards, lead generation tools, and market analytics without building or maintaining scraping infrastructure.

01

Discover

We crawl 50+ US real estate platforms continuously — detecting new listings, price reductions, status changes, and new rental postings within 15 minutes of going live on Zillow, Redfin, or MLS feeds.

02

Extract

80+ structured fields per property — prices, price history, square footage, lot size, bedroom/bathroom counts, HOA fees, tax assessments, Zestimate AVMs, days on market, agent contacts, and rental comps.

03

Normalise

Data is cleaned, address-matched across platforms, cross-referenced against MLS IDs and county parcel records, and unified into one consistent schema regardless of source platform.

04

Deliver

Structured JSON via REST API, webhooks, or bulk exports to S3, BigQuery, or Snowflake — with ZIP-code-level granularity, full price history, and timestamps on every record.

Supported Platforms

50+ US Real Estate Platforms Covered

From the major listing portals and MLS aggregators to commercial property databases, rental platforms, foreclosure registries, and county assessor records — our real estate data scraping covers the full US property landscape.

🏠 Zillow
🔍 Redfin
🏢 Realtor.com
📊 Trulia
🏘️ Homes.com
🏢 LoopNet
💰 CoStar
🏢 Apartments.com
🏢 Rent.com
⚡ Zumper
📍 HotPads
📄 MLS Feeds (All States)
⚖️ ATTOM Data (Tax)
🚗 RealtyTrac (Foreclosure)
📊 ApartmentList
🏘️ Roofstock
🏢 Crexi (Commercial)
🏘️ Compass
🏢 BiggerPockets
➕ +33 More
Data Fields

80+ Structured Fields per Property Record

Our real estate data intelligence schema covers every data point that matters to investors, agents, proptech platforms, and data teams — from MLS-level property identity to ZIP-code-specific pricing trends, rental yield intelligence, tax assessment history, and agent performance data unique to the US real estate market.

Property Identity
listing_id / zpid / mls_id
Platform-native listing ID (Zillow ZPID, Redfin ID), MLS listing number, and our normalised cross-platform listing ID. MLS-level matching is the foundation of every real estate data intelligence use case — ensuring you're tracking the same 3-bed Austin home across Zillow, Redfin, and Realtor.com without duplicate records.
"zpid": "88421030", "mls": "TX-2024-8821"
Property Identity
address / city / state / zip / parcel_id
Full standardised US address including street number, city, state, ZIP+4, and county parcel/APN identifier. Parcel IDs enable cross-referencing against county assessor records, tax liens, permit history, and foreclosure registries beyond what listing platforms expose.
"2847 Maple Grove Dr, Austin, TX 78741"
Property Identity
property_type / listing_type
Property type (Single Family, Condo, Townhouse, Multi-Family, Land, Commercial, Industrial, Mixed-Use) and listing type (For Sale, For Rent, Recently Sold, Off-Market, Foreclosure, Auction). Both fields normalised across all 50+ source platforms.
"type": "Single Family", "listing": "For Sale"
Property Identity
geo_coordinates / neighborhood
Verified lat/lng with sub-50m accuracy plus neighbourhood name mapped to a standardised US neighbourhood taxonomy of 20,000+ named areas. Enables proximity analysis, school district mapping, and hyperlocal market segmentation by neighbourhood.
{"lat":30.2672,"lng":-97.7431,"nbhd":"East Austin"}
Property Identity
year_built / lot_size / structure_type
Year of construction, lot size in acres and square feet, and structure type (Stick Built, Modular, Manufactured). Year built and lot size are essential for comparable sales analysis and AVM (Automated Valuation Model) feature engineering.
"year_built": 2018, "lot_sqft": 6534
Property Identity
images[] / virtual_tour_url
All listing photo URLs in display order plus virtual tour and 3D walkthrough links where available. Property images are used for computer vision applications, listing quality scoring, and neighbourhood visual analysis across ZIP codes.
"image_count": 34, "has_3d_tour": true
Pricing
price_usd / price_per_sqft
Current asking price and price per square foot in USD. Timestamped to the minute. The most fundamental field in real estate data intelligence — tracked across Zillow, Redfin, and Realtor.com simultaneously so you capture all listing price discrepancies between platforms.
"price_usd": 649000, "price_per_sqft": 312
Pricing
price_history[] / price_reduced
Full price change history with timestamps, the original listing price, and a boolean flag for current price reduction status. Price reduction signals are among the most actionable real estate data insights — indicating motivated sellers and enabling buy-side negotiation intelligence.
[{"date":"2025-05-01","price":679000}]
Pricing
zestimate / estimated_value / avm
Zillow Zestimate, Redfin Estimate, and our proprietary AVM cross-platform value estimate alongside the listing price. The spread between asking price and AVM is the most widely used deal-screening signal in proptech and iBuyer applications.
"zestimate": 661000, "redfin_est": 658000
Pricing
days_on_market / list_date
Number of days since first listed on MLS and the original list date. Days on market is the most important market velocity signal in real estate — a property at 60+ DOM in a 15-DOM market is a motivated seller or overpriced asset, detectable only with real-time data scraping.
"dom": 12, "list_date": "2025-05-23"
Pricing
last_sold_price / last_sold_date
Most recent recorded sale price and transaction date from county deed records. The spread between last sale and current asking price reveals the seller's equity position, investment holding period, and gain — critical for pre-foreclosure and motivated seller analysis.
"last_sold": 490000, "sold_date": "2021-08-14"
Property Features
bedrooms / bathrooms / sqft
Bedroom count, full and half bathroom count, and total living area square footage as listed. These three fields are the primary comp-filtering dimensions for every residential real estate valuation and investment screening application.
"beds": 4, "baths": 3, "sqft": 2081
Property Features
garage / parking / pool / basement
Garage spaces, parking type (attached, detached, street), pool presence and type, and basement size in square feet. These amenity fields are major value drivers in AVM models and comp filtering for residential investment analysis.
{"garage": 2, "pool": true, "basement_sqft": 800}
Property Features
hoa_fee_monthly / hoa_name
Monthly HOA fee and association name where applicable. HOA fees are a critical but often-overlooked affordability input — a $195/month HOA adds $70,200 to a 30-year ownership cost. This field enables true total-cost-of-ownership comparison across comparable listings.
"hoa_monthly": 195, "hoa_name": "Maple Grove HOA"
Property Features
heating / cooling / utilities
Heating system type (Gas Forced Air, Electric Heat Pump, Radiant), cooling type (Central AC, Mini Split), and disclosed utility costs where available. Used in operating cost modelling for rental investment analysis and energy efficiency scoring.
"heating": "Gas Forced Air", "cooling": "Central AC"
Market Intelligence
median_price_zip / price_trend_pct
Current median listing price for the property's ZIP code and the 90-day price trend percentage. ZIP-level market data contextualises every individual listing — enabling instant comparison of a property's asking price against its micro-market median.
"zip_median": 582000, "trend_90d": +4.2
Market Intelligence
inventory_count / months_of_supply
Active listing count and months of supply for the property's ZIP code and property type. Months of supply below 3.0 indicates a seller's market; above 6.0 is a buyer's market. This real-time market indicator is unavailable from static datasets and requires live data scraping.
"inventory": 847, "months_supply": 2.1
Market Intelligence
absorption_rate / avg_dom_zip
ZIP-level absorption rate (percentage of available homes sold per month) and average days on market for comparable sold properties. These two metrics together define market velocity — the most important signal for pricing strategy and offer timing in any US real estate market.
"absorption_rate": 18.4, "avg_dom": 22
Market Intelligence
walkability_score / school_ratings
Walk Score, Transit Score, and Bike Score per property address. Elementary, middle, and high school GreatSchools ratings for the assigned school district. Two of the most frequently searched consumer filters and critical value drivers in residential real estate pricing models.
{"walk_score": 82, "school_rating": 8}
Rental Intelligence
rent_estimate_monthly / rental_yield
Market rent estimate in USD/month derived from Zillow Rent Zestimate, comparable active rental listings, and our proprietary rental comp model. Gross rental yield calculated as annual rent divided by purchase price — the primary cash-flow screening metric for real estate investors.
"rent_est": 2850, "gross_yield_pct": 5.3
Rental Intelligence
cap_rate / cash_on_cash / noi
Calculated cap rate (NOI / market value), cash-on-cash return estimate, and Net Operating Income assuming market rent and standard expense ratios. These three fields are the core underwriting inputs for every US real estate investment analysis workflow.
"cap_rate_pct": 4.8, "noi_annual": 31200
Rental Intelligence
rental_comps[] / vacancy_rate_zip
Array of comparable active rental listings within 0.5 miles with per-unit rent, bedrooms, and square footage. ZIP-level vacancy rate sourced from census and listing data. Both fields are essential inputs for rental income confidence interval modelling.
"vacancy_rate_pct": 4.2, "comps_count": 12
Tax & Legal
tax_assessed_value / annual_tax_usd
County assessor's current assessed value and last annual property tax bill in USD. Tax bill is a recurring operating cost that meaningfully impacts net ROI for investors — especially in high-tax states like New Jersey, Illinois, and Connecticut where effective rates exceed 2%.
"assessed_value": 598000, "annual_tax": 11240
Tax & Legal
foreclosure_status / lien_indicators
Pre-foreclosure, auction, and REO (bank-owned) status from RealtyTrac and county courthouse records. Tax lien and mechanic's lien indicator flags. These distressed property signals are the foundation of fix-and-flip deal sourcing and wholesale real estate investment strategies.
"foreclosure_stage": "Pre-Foreclosure"
Agent & Brokerage
listing_agent / brokerage / license_id
Listing agent full name, brokerage name, phone number, email, and state license ID. This agent contact data is the primary lead intelligence field for mortgage lenders, title companies, and real estate service providers targeting active listing agents.
"agent": "Sarah M. Torres", "brokerage": "Keller Williams"
Agent & Brokerage
agent_listings_active / agent_sales_ytd
Count of the listing agent's currently active listings and year-to-date closed sales volume. Agent productivity metrics enable ranking and scoring of agents by market share — the core data feed for agent recruitment, lender marketing, and title company business development.
"active_listings": 8, "ytd_sales": 14
Market Intelligence
new_listings_7d / pending_sales_7d
Newly listed properties and pending sales within the property's ZIP code over the last 7 days. These high-frequency supply and demand signals provide an early view of market momentum, inventory changes, and buyer activity before broader housing market reports are released.
"new_listings_7d": 128, "pending_sales_7d": 94
Property Condition & Renovation
renovation_year / condition_score / remodel_flags
Most recent renovation year, standardised property condition score, and indicators for major upgrades including kitchens, bathrooms, roofing, HVAC, and energy-efficiency improvements. Renovation status is a key factor in valuation, buyer demand, and investment underwriting.
{"condition_score": 8.7, "kitchen_remodel": true, "roof_replaced": 2022}
Environmental & Risk Intelligence
flood_zone / wildfire_risk / fema_risk_score
FEMA flood zone classification, wildfire exposure level, and overall environmental risk score. These factors influence insurance costs, financing eligibility, and long-term property value, making them essential for investment and underwriting workflows.
{"flood_zone":"AE","wildfire_risk": "Low","risk_score":32}
Mortgage & Affordability
estimated_payment / interest_rate / affordability_index
Estimated monthly mortgage payment, prevailing interest rate assumptions, and affordability score. These metrics help evaluate purchasing power, financing costs, and demand sensitivity across changing market conditions.
{"monthly_payment":4218,"rate_pct":6.25, "affordability_index":74}
Real-World Use Cases

How US Teams Use Real Estate Data Intelligence

From institutional investors and iBuyers to proptech startups and mortgage lenders — here is how teams across the US real estate industry use our real-time property data intelligence in production today.

iBuyers & PropTech Platforms

Automated Valuation & Instant Offer Engines

iBuyers and instant-offer platforms use our real-time real estate data scraping API to power AVMs that generate purchase offers within minutes of a homeowner inquiry. Our 80+ property fields — including price history, comp sales, tax assessments, days on market, and neighbourhood trend data — feed the feature vectors that drive AVM accuracy at scale across all 50 US states without manual MLS subscriptions in each market.

AVM ModellingInstant OffersComp Analysis
Real Estate Investment

Investment Deal Screening & Market Intelligence

Single-family rental (SFR) funds, fix-and-flip operators, and BRRRR investors use our real estate data intelligence to screen thousands of new listings daily against investment criteria — filtering by cap rate, gross yield, days on market, price-to-rent ratio, and foreclosure status simultaneously. Get alerted within 15 minutes when a qualifying deal hits any of your target ZIP codes across any US city.

Deal ScreeningCap Rate CalcNew Listing Alerts
AI & Machine Learning

Training Real Estate AI & Price Prediction Models

AI teams building property valuation models, market forecasting tools, and automated underwriting systems use our structured real estate data corpus — 100M+ US listing records with 80+ fields including price history, neighbourhood metrics, school ratings, and comparable sales — to train and retrain predictive models. Our normalised, timestamped data eliminates the data wrangling that consumes 80% of real estate ML project timelines.

Price PredictionMarket ForecastingAVM Training
Mortgage & Lending

Real-Time Collateral Valuation & Market Risk

Mortgage lenders and loan originators use our real-time property data insights to validate collateral values at application, monitor portfolio properties for significant price declines, and assess market risk in lending concentration areas. Our real-time DOM and price trend data provides early warning signals of market softness weeks before it appears in lagged indices like Case-Shiller or CoreLogic.

Collateral MonitoringPortfolio RiskMarket Softness Alerts
Investment & Private Equity

Real Estate Market Due Diligence & Portfolio Analytics

PE firms, REITs, and family offices use our real estate data intelligence for market-entry due diligence, portfolio benchmarking, and disposition timing analysis. Track cap rate compression in Austin vs. Phoenix, monitor months-of-supply trends in 50 target MSAs simultaneously, and identify markets where institutional competition is crowding out yield — all powered by daily-refreshed, property-level data.

Market Due DiligenceCap Rate TrendsMSA Benchmarking
Title & Mortgage Services

Agent Lead Generation & Business Development Intelligence

Title companies, mortgage lenders, and real estate service providers use our agent data scraping — listing agent contacts, active listing counts, and YTD sales volume — to power sales prospecting workflows. Identify the top 10% of agents by listing volume in any ZIP code, trigger outreach when an agent closes their first listing with a new brokerage, or build a real-time ranking of agents by market share in your territory.

Agent IntelligenceLead GenerationMarket Share Ranking
Short-Term Rental & Hospitality

STR Market Analysis & Investment Underwriting

Short-term rental investors and Airbnb operators use our real estate data scraping to identify properties priced below market in high-demand STR ZIP codes, calculate gross STR yields against purchase prices, and monitor regulatory changes that affect STR permitting at the city level. Our rental comp data and cap rate calculations are pre-built for STR investment underwriting workflows.

STR UnderwritingYield AnalysisMarket Identification
Real Estate Research & Analytics

Housing Market Intelligence & Economic Research

Research firms, hedge funds, and economic analysts use our real-time real estate data insights to build leading indicators of housing market activity weeks ahead of official indices. Track new listing volume, median price per square foot, and days-on-market trends across 100+ US MSAs in real time — the same underlying data that housing economists use to forecast CPI shelter components and Fed policy impacts on real estate.

Housing IndicatorsMSA AnalyticsEconomic Research
Consumer PropTech & Search

Real Estate Aggregators & Consumer Search Platforms

Consumer real estate search platforms, moving apps, and neighbourhood discovery tools use our cross-platform property data scraping API to power search, filtering, and alerting across Zillow, Redfin, Realtor.com, and 50+ other platforms in a single normalised feed. Eliminate the cost and complexity of maintaining direct MLS subscriptions in every state while delivering more complete listing coverage than any single portal.

Listing AggregationCross-Platform SearchPrice Alerts
Live Sample Dataset

Real Estate Data Insights — Sample Records

A preview of exactly what our real estate data scraping API returns. Every row is a representative property record delivering the structured real estate data intelligence we serve — normalised across platforms, timestamped, and API-ready.

# Address Type Price (USD) Beds/Baths/Sqft Price/Sqft DOM Status Zestimate Scraped At
01 2847 Maple Grove Dr
Austin, TX 78741
Single Family $649,000 4bd / 3ba / 2,081 sqft $312 12 days Active $661,000 2025-06-04 10:18
02 514 Brickell Bay Dr #2204
Miami, FL 33131
Condo $1,250,000 2bd / 2ba / 1,340 sqft $933 38 days Price Reduced $1,198,000 2025-06-04 10:15
03 9821 Wilshire Blvd
Beverly Hills, CA 90210
Single Family $3,895,000 5bd / 6ba / 5,420 sqft $719 5 days Active $3,742,000 2025-06-04 10:22
04 1204 Peachtree St NE #8B
Atlanta, GA 30309
Condo $489,000 2bd / 2ba / 1,180 sqft $414 22 days Active $502,000 2025-06-04 10:20
05 4433 N Paulina St
Chicago, IL 60640
Multi-Family $875,000 6bd / 4ba / 3,600 sqft $243 44 days Price Reduced $841,000 2025-06-04 10:10
06 832 Bourbon St
New Orleans, LA 70116
Townhouse $385,000 3bd / 2.5ba / 1,820 sqft $212 8 days Active $398,000 2025-06-04 10:05
07 210 W 77th St Apt 14C
New York, NY 10024
Co-op $1,100,000 2bd / 1ba / 950 sqft $1,158 18 days Active $1,085,000 2025-06-04 10:08
08 7750 E Camelback Rd
Scottsdale, AZ 85251
Single Family $724,500 4bd / 3ba / 2,640 sqft $274 71 days Price Reduced $698,000 2025-06-04 09:58
09 3311 Fremont Ave N
Seattle, WA 98103
Single Family $980,000 3bd / 2ba / 1,680 sqft $583 4 days Active $994,000 2025-06-04 10:25
10 541 Forsythe Rd
Charlotte, NC 28211
Single Family $545,000 4bd / 3ba / 2,380 sqft $229 9 days Active $558,000 2025-06-04 10:12
Integrations & Delivery

Plug Into Your Existing Data Stack

Real estate data intelligence delivered directly to your pipeline — REST API, webhooks, or bulk export to your data warehouse. No new infrastructure required.

🔌 REST APIJSON · Real-time
🔁 WebhooksPrice & New Listing Alerts
📄 Bulk CSV / JSONScheduled Export
❄️ SnowflakeData Warehouse
☁️ Google BigQueryData Warehouse
📦 AWS S3Cloud Storage
📊 Tableau / Power BIBI Dashboards
🧠 Python / R SDKDeveloper Tools
📊 Power BI Business Intelligence
📈 Looker Data Visualization

FAQs

Real Estate Data Scraping — United States

Frequently Asked Questions

What real estate data can you scrape in the USA?
We scrape property listings, asking prices, price history, square footage, bedrooms, bathrooms, lot size, HOA fees, days on market, listing status, Zestimate and AVM values, tax assessed values, annual property tax bills, rental rate estimates, cap rate calculations, agent contact data (name, phone, email, license ID), open house schedules, foreclosure and pre-foreclosure status, school ratings, walkability scores, neighbourhood demographics, and comparable sales — across 50+ US real estate platforms including Zillow, Redfin, Realtor.com, Trulia, Homes.com, Apartments.com, Zumper, LoopNet, CoStar, and all major regional MLS feeds.
How often is real estate data updated?
New listings and price changes on Zillow, Redfin, and Realtor.com are detected within 15 minutes of going live on Growth and Enterprise plans. Listing status changes (Active to Pending, Pending to Sold) are captured within one refresh cycle. Market trend metrics are aggregated and updated daily. Historical sales and tax assessment data is refreshed weekly. Starter plans receive daily snapshots. Enterprise plans support near real-time monitoring with instant webhook alerts on price reductions, new listings, and status changes.
Do you have access to MLS data?
Yes. Our platform aggregates data from publicly visible MLS listings as displayed on Zillow, Redfin, Realtor.com, and IDX-enabled broker websites across all 50 states. MLS listing numbers are captured as a standard field enabling cross-platform deduplication. For markets where MLS data is primarily available through broker IDX sites, our state-by-state coverage ensures comprehensive listing capture without requiring direct MLS board memberships in each market.
Can I get alerts when new listings match my investment criteria?
Yes. New listing and price change webhooks are fully configurable on Growth and Enterprise plans. You can set criteria combining any combination of ZIP code, price range, property type, bedroom/bathroom count, price per square foot, days on market threshold, estimated cap rate, or price reduction flag. When a property matching your criteria goes live on any of our 50+ covered platforms, the webhook fires within 15 minutes with the full property record in JSON format.
Do you scrape rental listings as well as for-sale properties?
Yes. Rental listings are a first-class data type in our platform. We scrape active rentals from Apartments.com, Zillow Rentals, Redfin Rentals, Zumper, HotPads, Rent.com, and 15+ other US rental platforms. Rental records include monthly rent, rent per square foot, lease terms, pet policy, utilities included, available date, and landlord or property manager contact data. Rental comps are also included as a nested array within for-sale property records to support investment yield calculations.
Is the real estate data delivered as structured JSON?
Yes. All real estate data is delivered as clean, normalised JSON via REST API. Bulk exports are available in JSON and CSV formats. Fields are standardised across all 50+ sources — MLS listing IDs, Zillow ZPIDs, and standardised US street addresses are used as cross-platform matching keys so you get one consistent property record whether the data came from Zillow, Redfin, or a local broker IDX site. Snowflake, BigQuery, and AWS S3 delivery are available on Growth and Enterprise plans.
Can I track historical real estate price changes for market analysis?
Yes. Growth and Enterprise plans include full price history going back up to 24 months per property across all tracked platforms. Each price record is timestamped with the platform, listing status at the time, and any active promotion flag — enabling market trend analysis, days-on-market pattern modelling, seasonal pricing studies, and ZIP-level appreciation tracking. This time-series data is what separates our real estate data intelligence platform from point-in-time MLS snapshot exports.
FAQ Illustration

Contact Us Now!

At WebFusionData, we specialize in cutting-edge web scraping solutions to help you unlock valuable insights and drive business growth. Whether you need custom data extraction, real-time monitoring, or large-scale web scraping, our team is here to assist you.

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