Makerhook
Use Case

Real Estate Analytics

Extract property listings, valuations, and market trends. Get comprehensive real estate data for investment analysis and portfolio management.

Real EstatePropTechInvestment FundsProperty Management

Key Benefits

  • Track property valuations
  • Analyze market trends
  • Find investment opportunities
  • Monitor rental prices
  • Compare neighborhoods
99.9%
Success rate
<2s
Avg response
20+
RE scrapers
50M+
Properties
Daily
Updates
Historical
Data included
The Problem

Real Estate Analytics without the right tools is a headache

Building real estate analytics systems from scratch is time-consuming and error-prone. Here's what teams typically struggle with:

Listing data is fragmented

Property data lives across MLS, Zillow, Redfin, and dozens of other sources.

Prices change quickly

Real estate markets move fast, and stale data leads to missed opportunities.

Valuations are inconsistent

Different sources provide different estimates, making accurate analysis difficult.

Historical data is locked away

Past listing data and price history is often behind paywalls or inaccessible.

Market comparisons are manual

Comparing properties and markets requires tedious data collection and normalization.

Investment analysis is slow

Evaluating potential investments takes weeks when it should take hours.

Don't waste weeks building infrastructure. Focus on what matters—your business.

Makerhook handles all of this for you

Quick Start for Real Estate Analytics

Simple integration in any language

1import requests
2
3# Real Estate Analytics with Makerhook
4def get_real_estate_analytics_data():
5 response = requests.get(
6 url="https://api.makerhook.com/v1/scraper/zillow",
7 params={
8 "url": "TARGET_URL"
9 },
10 headers={
11 "x-api-key": "YOUR_API_KEY"
12 }
13 )
14
15 data = response.json()
16 print("Status:", response.status_code)
17 print("Data:", data)
18
19 # Process for real estate analytics
20 return data
21
22get_real_estate_analytics_data()
Response200 OK
{
"success": true,
"request_id": "req_nbbb7ah3",
"credits_used": 1,
"data": {
"address": "123 Example St, City",
"price": {
"amount": 99.99,
"currency": "USD"
},
"zestimate": "example_zestimate",
"bedrooms": "example_bedrooms",
"bathrooms": "example_bathrooms",
"sqft": "example_sqft"
}
}

All responses return clean, structured JSON data ready to use in your application.

How It Works

Real Estate Analytics in 4 simple steps

Go from zero to production in minutes, not weeks

1

Choose your scrapers

Select from 230+ scrapers optimized for real estate analytics. We recommend starting with zillow, realtor, redfin.

2

Make your first API call

Use our simple REST API to request data. No complex setup, no infrastructure to manage. Just a single HTTP request.

3

Receive structured data

Get clean, normalized JSON responses in milliseconds. Data is ready to use—no parsing or cleaning required.

4

Scale your workflow

Automate real estate analytics with scheduled jobs, webhooks, and batch processing. Handle millions of requests without infrastructure headaches.

Comparison

With vs Without Makerhook

See the difference in your real estate analytics workflow

DIY Scraping
With Makerhook
Time to first dataDays to weeks5 minutes
InfrastructureProxies, servers, browsersOne API call
MaintenanceConstant updates neededZero maintenance
Anti-bot handlingTrial and errorBuilt-in bypass
Data formatRaw HTML to parseClean JSON
Success rate60-80%99.9%
Our Solution

Everything you need for real estate analytics

Makerhook gives you reliable data extraction with enterprise-grade infrastructure

Global Coverage

Access data from any region with our worldwide proxy network. Get localized results for accurate real estate analytics.

Real-time Data

Get fresh data in milliseconds. Perfect for time-sensitive real estate analytics that requires up-to-date information.

Enterprise Security

SOC 2 compliant infrastructure with encrypted data transfer. Your real estate analytics data is safe with us.

Developer Experience

Built for developers, by developers

Everything you need to build real estate analytics into your product

Comprehensive documentation

Detailed guides, API reference, and examples to get you started quickly with real estate analytics.

Code samples in every language

Python, JavaScript, PHP, Go, Ruby, and more. Copy-paste ready code for your stack.

Webhooks & async processing

Handle large-scale real estate analytics with async callbacks and batch processing.

Expert support

Real engineers who understand real estate analytics. Fast, helpful responses.

Ready to build real estate analytics?

Get access to free API credits and start extracting data in minutes. No credit card required.