---
title: "Property Data API - Aggregate Real Estate Listings"
description: "A property data API for real estate scraping. Aggregate listings from multiple platforms and extract price, beds, baths, photos, and agent details as JSON."
url: https://webscraping.ai/use-cases/property-listing-aggregation
markdown_index: https://webscraping.ai/llms.txt
---
REAL ESTATE

# Property Listing Aggregation

A property data API for real estate scraping. Aggregate listings from multiple platforms and pull pricing, beds and baths, photos, and agent details into one clean database.

[Start Free Trial](https://webscraping.ai/auth/sign_up)[View Documentation](https://webscraping.ai/docs)

## Real Estate Data Is Fragmented

Property listings are scattered across dozens of platforms - MLS feeds, real estate portals, broker websites, and classified sites. Building a comprehensive view requires aggregating from all sources.

Each platform has different data formats, access restrictions, and update frequencies. Manual collection is impossible at scale.

#### WebScraping.AI Solution

- **Multi-Platform Coverage:** Collect listings from any real estate website
- **Complete Data:** Extract price, specs, photos, descriptions, and agent info
- **JavaScript Rendering:** Handle modern real estate sites with dynamic loading
- **Structured Output:** Get uniform JSON regardless of source platform

## Property Data Extraction

Capture every detail from property listings

#### Pricing Data

List price, price history, price per sqft, and estimated values.

#### Property Details

Beds, baths, sqft, lot size, year built, and amenities.

#### Photos & Tours

Listing photo URLs from the page HTML, plus virtual tour and floor plan links.

#### Agent Info

Listing agent, brokerage, and contact information.

## How It Works

Aggregate property listings in three steps

1

#### Define Sources

Identify the real estate platforms and listing pages you want to collect from.

2

#### Extract Data

Our AI extracts property details and agent info from each listing.

3

#### Build Database

Store structured listing data in your property database or application.

## Code Examples

Extract property listing data from any real estate site

**cURL**

```bash
curl -G "https://api.webscraping.ai/ai/fields" \
  --data-urlencode "api_key=YOUR_API_KEY" \
  --data-urlencode "url=https://example-realestate.com/listing/123-main-st" \
  --data-urlencode "fields[address]=Full property address" \
  --data-urlencode "fields[price]=Listing price as a number" \
  --data-urlencode "fields[bedrooms]=Number of bedrooms" \
  --data-urlencode "fields[bathrooms]=Number of bathrooms" \
  --data-urlencode "fields[sqft]=Square footage" \
  --data-urlencode "fields[lot_size]=Lot size" \
  --data-urlencode "fields[year_built]=Year the property was built" \
  --data-urlencode "fields[property_type]=Type of property (house, condo, etc)" \
  --data-urlencode "fields[description]=Property description" \
  --data-urlencode "fields[agent_name]=Listing agent name" \
  --data-urlencode "fields[agent_phone]=Agent phone number" \
  --data-urlencode "fields[days_on_market]=Days the listing has been active"
# Response:
# {
# "result": {
# "address": "123 Main Street, Austin, TX 78701",
# "price": "549000",
# "bedrooms": "3",
# "bathrooms": "2",
# "sqft": "1850",
# "lot_size": "0.25 acres",
# "year_built": "2018",
# "property_type": "Single Family Home",
# "description": "Beautiful modern home...",
# "agent_name": "Jane Smith",
# "agent_phone": "(512) 555-0123",
# "days_on_market": "14"
# }
# }
```

**Python**

```python
# pip install webscraping_ai
# https://pypi.org/project/webscraping-ai/
from webscraping_ai import Client

client = Client(api_key="YOUR_API_KEY")
result = client.fields(
    "https://example-realestate.com/listing/123-main-st",
    fields={
        "address": "Full property address",
        "price": "Listing price as a number",
        "bedrooms": "Number of bedrooms",
        "bathrooms": "Number of bathrooms",
        "sqft": "Square footage",
        "lot_size": "Lot size",
        "year_built": "Year the property was built",
        "property_type": "Type of property (house, condo, etc)",
        "description": "Property description",
        "agent_name": "Listing agent name",
        "agent_phone": "Agent phone number",
        "days_on_market": "Days the listing has been active",
    },
)
print(result)
# Response:
# {
# "result": {
# "address": "123 Main Street, Austin, TX 78701",
# "price": "549000",
# "bedrooms": "3",
# "bathrooms": "2",
# "sqft": "1850",
# "lot_size": "0.25 acres",
# "year_built": "2018",
# "property_type": "Single Family Home",
# "description": "Beautiful modern home...",
# "agent_name": "Jane Smith",
# "agent_phone": "(512) 555-0123",
# "days_on_market": "14"
# }
# }
```

**JavaScript**

```javascript
// npm install webscraping-ai
// https://www.npmjs.com/package/webscraping-ai
import { WebScrapingAI } from 'webscraping-ai';

const client = new WebScrapingAI({ apiKey: 'YOUR_API_KEY' });
const result = await client.fields({
  url: 'https://example-realestate.com/listing/123-main-st',
  fields: {
    address: 'Full property address',
    price: 'Listing price as a number',
    bedrooms: 'Number of bedrooms',
    bathrooms: 'Number of bathrooms',
    sqft: 'Square footage',
    lot_size: 'Lot size',
    year_built: 'Year the property was built',
    property_type: 'Type of property (house, condo, etc)',
    description: 'Property description',
    agent_name: 'Listing agent name',
    agent_phone: 'Agent phone number',
    days_on_market: 'Days the listing has been active',
  },
});
console.log(result);
// Response:
// {
// "result": {
// "address": "123 Main Street, Austin, TX 78701",
// "price": "549000",
// "bedrooms": "3",
// "bathrooms": "2",
// "sqft": "1850",
// "lot_size": "0.25 acres",
// "year_built": "2018",
// "property_type": "Single Family Home",
// "description": "Beautiful modern home...",
// "agent_name": "Jane Smith",
// "agent_phone": "(512) 555-0123",
// "days_on_market": "14"
// }
// }
```

**PHP**

```php
<?php
// composer require webscraping-ai/webscraping-ai-php
// https://packagist.org/packages/webscraping-ai/webscraping-ai-php
require 'vendor/autoload.php';

use WebScrapingAI\Client;

$client = new Client('YOUR_API_KEY');
$result = $client->fields('https://example-realestate.com/listing/123-main-st', [
    'address' => 'Full property address',
    'price' => 'Listing price as a number',
    'bedrooms' => 'Number of bedrooms',
    'bathrooms' => 'Number of bathrooms',
    'sqft' => 'Square footage',
    'lot_size' => 'Lot size',
    'year_built' => 'Year the property was built',
    'property_type' => 'Type of property (house, condo, etc)',
    'description' => 'Property description',
    'agent_name' => 'Listing agent name',
    'agent_phone' => 'Agent phone number',
    'days_on_market' => 'Days the listing has been active',
]);
print_r($result);
// Response:
// {
// "result": {
// "address": "123 Main Street, Austin, TX 78701",
// "price": "549000",
// "bedrooms": "3",
// "bathrooms": "2",
// "sqft": "1850",
// "lot_size": "0.25 acres",
// "year_built": "2018",
// "property_type": "Single Family Home",
// "description": "Beautiful modern home...",
// "agent_name": "Jane Smith",
// "agent_phone": "(512) 555-0123",
// "days_on_market": "14"
// }
// }
```

**Ruby**

```ruby
# gem install webscraping_ai
# https://rubygems.org/gems/webscraping_ai
require 'webscraping_ai'

client = WebScrapingAI::Client.new(api_key: 'YOUR_API_KEY')
result = client.fields(
  'https://example-realestate.com/listing/123-main-st',
  fields: {
    address: 'Full property address',
    price: 'Listing price as a number',
    bedrooms: 'Number of bedrooms',
    bathrooms: 'Number of bathrooms',
    sqft: 'Square footage',
    lot_size: 'Lot size',
    year_built: 'Year the property was built',
    property_type: 'Type of property (house, condo, etc)',
    description: 'Property description',
    agent_name: 'Listing agent name',
    agent_phone: 'Agent phone number',
    days_on_market: 'Days the listing has been active',
  }
)
puts result.inspect
# Response:
# {
# "result": {
# "address": "123 Main Street, Austin, TX 78701",
# "price": "549000",
# "bedrooms": "3",
# "bathrooms": "2",
# "sqft": "1850",
# "lot_size": "0.25 acres",
# "year_built": "2018",
# "property_type": "Single Family Home",
# "description": "Beautiful modern home...",
# "agent_name": "Jane Smith",
# "agent_phone": "(512) 555-0123",
# "days_on_market": "14"
# }
# }
```

**Go**

```go
// go get github.com/webscraping-ai/webscraping-ai-go/v4
// https://pkg.go.dev/github.com/webscraping-ai/webscraping-ai-go/v4
package main

import (
    "context"
    "fmt"

    webscrapingai "github.com/webscraping-ai/webscraping-ai-go/v4"
)

func main() {
    client, _ := webscrapingai.NewClient(&webscrapingai.Config{APIKey: "YOUR_API_KEY"})
    result, _ := client.Fields(context.Background(), &webscrapingai.FieldsOptions{
        URL: "https://example-realestate.com/listing/123-main-st",
        Fields: map[string]string{
            "address": "Full property address",
            "price": "Listing price as a number",
            "bedrooms": "Number of bedrooms",
            "bathrooms": "Number of bathrooms",
            "sqft": "Square footage",
            "lot_size": "Lot size",
            "year_built": "Year the property was built",
            "property_type": "Type of property (house, condo, etc)",
            "description": "Property description",
            "agent_name": "Listing agent name",
            "agent_phone": "Agent phone number",
            "days_on_market": "Days the listing has been active",
        },
    })
    fmt.Println(result.Result)
}
// Response:
// {
// "result": {
// "address": "123 Main Street, Austin, TX 78701",
// "price": "549000",
// "bedrooms": "3",
// "bathrooms": "2",
// "sqft": "1850",
// "lot_size": "0.25 acres",
// "year_built": "2018",
// "property_type": "Single Family Home",
// "description": "Beautiful modern home...",
// "agent_name": "Jane Smith",
// "agent_phone": "(512) 555-0123",
// "days_on_market": "14"
// }
// }
```

**Java**

```java
// Maven: ai.webscraping:webscraping-ai:4.2.0
// https://central.sonatype.com/artifact/ai.webscraping/webscraping-ai
import ai.webscraping.Client;
import ai.webscraping.Config;
import ai.webscraping.option.FieldsOptions;
import ai.webscraping.result.FieldsResult;

Client client = new Client(Config.builder().apiKey("YOUR_API_KEY").build());
FieldsResult result = client.fields(FieldsOptions.builder()
    .url("https://example-realestate.com/listing/123-main-st")
    .addField("address", "Full property address")
    .addField("price", "Listing price as a number")
    .addField("bedrooms", "Number of bedrooms")
    .addField("bathrooms", "Number of bathrooms")
    .addField("sqft", "Square footage")
    .addField("lot_size", "Lot size")
    .addField("year_built", "Year the property was built")
    .addField("property_type", "Type of property (house, condo, etc)")
    .addField("description", "Property description")
    .addField("agent_name", "Listing agent name")
    .addField("agent_phone", "Agent phone number")
    .addField("days_on_market", "Days the listing has been active")
    .build());
System.out.println(result.getResult());
// Response:
// {
// "result": {
// "address": "123 Main Street, Austin, TX 78701",
// "price": "549000",
// "bedrooms": "3",
// "bathrooms": "2",
// "sqft": "1850",
// "lot_size": "0.25 acres",
// "year_built": "2018",
// "property_type": "Single Family Home",
// "description": "Beautiful modern home...",
// "agent_name": "Jane Smith",
// "agent_phone": "(512) 555-0123",
// "days_on_market": "14"
// }
// }
```

**C#**

```csharp
// dotnet add package WebScrapingAI
// https://www.nuget.org/packages/WebScrapingAI
using WebScrapingAI;

var client = new WebScrapingAIClient(new WebScrapingAIClientOptions { ApiKey = "YOUR_API_KEY" });
var result = await client.FieldsAsync(new FieldsRequest {
    Url = "https://example-realestate.com/listing/123-main-st",
    Fields = new Dictionary<string, string> {
        ["address"] = "Full property address",
        ["price"] = "Listing price as a number",
        ["bedrooms"] = "Number of bedrooms",
        ["bathrooms"] = "Number of bathrooms",
        ["sqft"] = "Square footage",
        ["lot_size"] = "Lot size",
        ["year_built"] = "Year the property was built",
        ["property_type"] = "Type of property (house, condo, etc)",
        ["description"] = "Property description",
        ["agent_name"] = "Listing agent name",
        ["agent_phone"] = "Agent phone number",
        ["days_on_market"] = "Days the listing has been active",
    },
});
Console.WriteLine(result.Result);
// Response:
// {
// "result": {
// "address": "123 Main Street, Austin, TX 78701",
// "price": "549000",
// "bedrooms": "3",
// "bathrooms": "2",
// "sqft": "1850",
// "lot_size": "0.25 acres",
// "year_built": "2018",
// "property_type": "Single Family Home",
// "description": "Beautiful modern home...",
// "agent_name": "Jane Smith",
// "agent_phone": "(512) 555-0123",
// "days_on_market": "14"
// }
// }
```

## Benefits for Real Estate

**Comprehensive Coverage:** Aggregate listings from all major platforms in one database.

**Always Current:** Schedule regular scrapes to keep listings fresh.

**Rich Media:** Collect all photos and virtual tour links.

**Market Analysis:** Build datasets for pricing analysis and market trends.

**Lead Generation:** Capture agent and seller contact information.

#### Use Cases

**Property Search Portals**

Build comprehensive listing sites with data from multiple sources

**Investment Analysis**

Analyze property values and market trends

**PropTech Applications**

Power real estate apps with comprehensive listing data

**Market Research**

Track inventory levels, pricing trends, and market dynamics

## Related Use Cases

More real estate solutions

[Rental Market Analysis](https://webscraping.ai/use-cases/rental-market-analysis): Monitor rental prices and availability trends.

[Price Monitoring](https://webscraping.ai/use-cases/price-monitoring): Track property price changes over time.

[Lead Generation](https://webscraping.ai/use-cases/b2b-lead-generation): Extract agent and seller contact information.

## Start Aggregating Property Data

Get started with 2,000 free API credits. No credit card required.

[Start Free Trial](https://webscraping.ai/auth/sign_up)[View API Documentation](https://webscraping.ai/docs)