---
title: "Commercial Real Estate Data API - CRE Property Intelligence"
description: "Collect commercial real estate listings, lease rates, and property data. Build comprehensive CRE databases with WebScraping.AI."
url: https://webscraping.ai/use-cases/commercial-real-estate
markdown_index: https://webscraping.ai/llms.txt
---
REAL ESTATE

# Commercial Real Estate Data

Collect commercial real estate data - property listings, lease rates, and market metrics - from any CRE platform or broker site. Feed investment analysis and market research.

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

## CRE Data is Fragmented

Commercial real estate data is scattered across listing platforms, broker sites, and property databases. Getting a complete market view requires aggregating data from multiple sources.

Traditional CRE data providers are expensive and often have limited coverage. You need flexible data collection that covers your target markets.

#### WebScraping.AI Solution

- **Listing Data:** Office, retail, industrial, and multifamily properties
- **Lease Intelligence:** Asking rents, lease terms, and concessions
- **Market Coverage:** Data from any CRE platform or broker site
- **Structured Output:** Clean data ready for analysis and modeling

## Commercial Property Data

Comprehensive CRE intelligence

#### Property Details

Square footage, year built, floors, parking, and amenities.

#### Lease Rates

Asking rent, price per SF, lease terms, and tenant incentives.

#### Availability

Vacancy rates, available spaces, and sublease inventory.

#### Broker Info

Listing brokers, contact info, and brokerage firms.

## Code Examples

Extract commercial real estate data

##### Extract commercial property listing data

**cURL**

```bash
curl -G "https://api.webscraping.ai/ai/fields" \
  --data-urlencode "api_key=YOUR_API_KEY" \
  --data-urlencode "url=https://cre-platform.com/property/downtown-office-tower" \
  --data-urlencode "fields[property_name]=Building or property name" \
  --data-urlencode "fields[property_type]=Office, retail, industrial, multifamily" \
  --data-urlencode "fields[address]=Full property address" \
  --data-urlencode "fields[total_sf]=Total square footage" \
  --data-urlencode "fields[available_sf]=Available square footage" \
  --data-urlencode "fields[floors]=Number of floors" \
  --data-urlencode "fields[year_built]=Year constructed" \
  --data-urlencode "fields[asking_rent]=Asking rent per SF per year" \
  --data-urlencode "fields[lease_type]=NNN, Full Service, Modified Gross" \
  --data-urlencode "fields[available_spaces]=List of available units with size and rent" \
  --data-urlencode "fields[amenities]=Building amenities" \
  --data-urlencode "fields[parking]=Parking ratio and type" \
  --data-urlencode "fields[broker_name]=Listing broker name" \
  --data-urlencode "fields[broker_company]=Brokerage firm"
# Response:
# {
# "result": {
# "property_name": "One Financial Plaza",
# "property_type": "Office",
# "address": "100 Main Street, Boston, MA 02110",
# "total_sf": "450,000",
# "available_sf": "75,000",
# "floors": "32",
# "year_built": "1985",
# "asking_rent": "$65.00 PSF/Year",
# "lease_type": "Full Service",
# "available_spaces": "Floor 15: 25,000 SF at $62.00; Floor 22: 50,000 SF at $68.00",
# "amenities": "Fitness center, Conference facility, Retail",
# "parking": "2.5/1,000 SF covered",
# "broker_name": "John Smith",
# "broker_company": "CBRE"
# }
# }
```

**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://cre-platform.com/property/downtown-office-tower",
    fields={
        "property_name": "Building or property name",
        "property_type": "Office, retail, industrial, multifamily",
        "address": "Full property address",
        "total_sf": "Total square footage",
        "available_sf": "Available square footage",
        "floors": "Number of floors",
        "year_built": "Year constructed",
        "asking_rent": "Asking rent per SF per year",
        "lease_type": "NNN, Full Service, Modified Gross",
        "available_spaces": "List of available units with size and rent",
        "amenities": "Building amenities",
        "parking": "Parking ratio and type",
        "broker_name": "Listing broker name",
        "broker_company": "Brokerage firm",
    },
)
print(result)
# Response:
# {
# "result": {
# "property_name": "One Financial Plaza",
# "property_type": "Office",
# "address": "100 Main Street, Boston, MA 02110",
# "total_sf": "450,000",
# "available_sf": "75,000",
# "floors": "32",
# "year_built": "1985",
# "asking_rent": "$65.00 PSF/Year",
# "lease_type": "Full Service",
# "available_spaces": "Floor 15: 25,000 SF at $62.00; Floor 22: 50,000 SF at $68.00",
# "amenities": "Fitness center, Conference facility, Retail",
# "parking": "2.5/1,000 SF covered",
# "broker_name": "John Smith",
# "broker_company": "CBRE"
# }
# }
```

**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://cre-platform.com/property/downtown-office-tower',
  fields: {
    property_name: 'Building or property name',
    property_type: 'Office, retail, industrial, multifamily',
    address: 'Full property address',
    total_sf: 'Total square footage',
    available_sf: 'Available square footage',
    floors: 'Number of floors',
    year_built: 'Year constructed',
    asking_rent: 'Asking rent per SF per year',
    lease_type: 'NNN, Full Service, Modified Gross',
    available_spaces: 'List of available units with size and rent',
    amenities: 'Building amenities',
    parking: 'Parking ratio and type',
    broker_name: 'Listing broker name',
    broker_company: 'Brokerage firm',
  },
});
console.log(result);
// Response:
// {
// "result": {
// "property_name": "One Financial Plaza",
// "property_type": "Office",
// "address": "100 Main Street, Boston, MA 02110",
// "total_sf": "450,000",
// "available_sf": "75,000",
// "floors": "32",
// "year_built": "1985",
// "asking_rent": "$65.00 PSF/Year",
// "lease_type": "Full Service",
// "available_spaces": "Floor 15: 25,000 SF at $62.00; Floor 22: 50,000 SF at $68.00",
// "amenities": "Fitness center, Conference facility, Retail",
// "parking": "2.5/1,000 SF covered",
// "broker_name": "John Smith",
// "broker_company": "CBRE"
// }
// }
```

**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 = $client->fields('https://cre-platform.com/property/downtown-office-tower', [
    'property_name' => 'Building or property name',
    'property_type' => 'Office, retail, industrial, multifamily',
    'address' => 'Full property address',
    'total_sf' => 'Total square footage',
    'available_sf' => 'Available square footage',
    'floors' => 'Number of floors',
    'year_built' => 'Year constructed',
    'asking_rent' => 'Asking rent per SF per year',
    'lease_type' => 'NNN, Full Service, Modified Gross',
    'available_spaces' => 'List of available units with size and rent',
    'amenities' => 'Building amenities',
    'parking' => 'Parking ratio and type',
    'broker_name' => 'Listing broker name',
    'broker_company' => 'Brokerage firm',
]);
print_r($result);
// Response:
// {
// "result": {
// "property_name": "One Financial Plaza",
// "property_type": "Office",
// "address": "100 Main Street, Boston, MA 02110",
// "total_sf": "450,000",
// "available_sf": "75,000",
// "floors": "32",
// "year_built": "1985",
// "asking_rent": "$65.00 PSF/Year",
// "lease_type": "Full Service",
// "available_spaces": "Floor 15: 25,000 SF at $62.00; Floor 22: 50,000 SF at $68.00",
// "amenities": "Fitness center, Conference facility, Retail",
// "parking": "2.5/1,000 SF covered",
// "broker_name": "John Smith",
// "broker_company": "CBRE"
// }
// }
```

**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://cre-platform.com/property/downtown-office-tower',
  fields: {
    property_name: 'Building or property name',
    property_type: 'Office, retail, industrial, multifamily',
    address: 'Full property address',
    total_sf: 'Total square footage',
    available_sf: 'Available square footage',
    floors: 'Number of floors',
    year_built: 'Year constructed',
    asking_rent: 'Asking rent per SF per year',
    lease_type: 'NNN, Full Service, Modified Gross',
    available_spaces: 'List of available units with size and rent',
    amenities: 'Building amenities',
    parking: 'Parking ratio and type',
    broker_name: 'Listing broker name',
    broker_company: 'Brokerage firm',
  }
)
puts result.inspect
# Response:
# {
# "result": {
# "property_name": "One Financial Plaza",
# "property_type": "Office",
# "address": "100 Main Street, Boston, MA 02110",
# "total_sf": "450,000",
# "available_sf": "75,000",
# "floors": "32",
# "year_built": "1985",
# "asking_rent": "$65.00 PSF/Year",
# "lease_type": "Full Service",
# "available_spaces": "Floor 15: 25,000 SF at $62.00; Floor 22: 50,000 SF at $68.00",
# "amenities": "Fitness center, Conference facility, Retail",
# "parking": "2.5/1,000 SF covered",
# "broker_name": "John Smith",
# "broker_company": "CBRE"
# }
# }
```

**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://cre-platform.com/property/downtown-office-tower",
        Fields: map[string]string{
            "property_name": "Building or property name",
            "property_type": "Office, retail, industrial, multifamily",
            "address": "Full property address",
            "total_sf": "Total square footage",
            "available_sf": "Available square footage",
            "floors": "Number of floors",
            "year_built": "Year constructed",
            "asking_rent": "Asking rent per SF per year",
            "lease_type": "NNN, Full Service, Modified Gross",
            "available_spaces": "List of available units with size and rent",
            "amenities": "Building amenities",
            "parking": "Parking ratio and type",
            "broker_name": "Listing broker name",
            "broker_company": "Brokerage firm",
        },
    })
    fmt.Println(result.Result)
}
// Response:
// {
// "result": {
// "property_name": "One Financial Plaza",
// "property_type": "Office",
// "address": "100 Main Street, Boston, MA 02110",
// "total_sf": "450,000",
// "available_sf": "75,000",
// "floors": "32",
// "year_built": "1985",
// "asking_rent": "$65.00 PSF/Year",
// "lease_type": "Full Service",
// "available_spaces": "Floor 15: 25,000 SF at $62.00; Floor 22: 50,000 SF at $68.00",
// "amenities": "Fitness center, Conference facility, Retail",
// "parking": "2.5/1,000 SF covered",
// "broker_name": "John Smith",
// "broker_company": "CBRE"
// }
// }
```

**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://cre-platform.com/property/downtown-office-tower")
    .addField("property_name", "Building or property name")
    .addField("property_type", "Office, retail, industrial, multifamily")
    .addField("address", "Full property address")
    .addField("total_sf", "Total square footage")
    .addField("available_sf", "Available square footage")
    .addField("floors", "Number of floors")
    .addField("year_built", "Year constructed")
    .addField("asking_rent", "Asking rent per SF per year")
    .addField("lease_type", "NNN, Full Service, Modified Gross")
    .addField("available_spaces", "List of available units with size and rent")
    .addField("amenities", "Building amenities")
    .addField("parking", "Parking ratio and type")
    .addField("broker_name", "Listing broker name")
    .addField("broker_company", "Brokerage firm")
    .build());
System.out.println(result.getResult());
// Response:
// {
// "result": {
// "property_name": "One Financial Plaza",
// "property_type": "Office",
// "address": "100 Main Street, Boston, MA 02110",
// "total_sf": "450,000",
// "available_sf": "75,000",
// "floors": "32",
// "year_built": "1985",
// "asking_rent": "$65.00 PSF/Year",
// "lease_type": "Full Service",
// "available_spaces": "Floor 15: 25,000 SF at $62.00; Floor 22: 50,000 SF at $68.00",
// "amenities": "Fitness center, Conference facility, Retail",
// "parking": "2.5/1,000 SF covered",
// "broker_name": "John Smith",
// "broker_company": "CBRE"
// }
// }
```

**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://cre-platform.com/property/downtown-office-tower",
    Fields = new Dictionary<string, string> {
        ["property_name"] = "Building or property name",
        ["property_type"] = "Office, retail, industrial, multifamily",
        ["address"] = "Full property address",
        ["total_sf"] = "Total square footage",
        ["available_sf"] = "Available square footage",
        ["floors"] = "Number of floors",
        ["year_built"] = "Year constructed",
        ["asking_rent"] = "Asking rent per SF per year",
        ["lease_type"] = "NNN, Full Service, Modified Gross",
        ["available_spaces"] = "List of available units with size and rent",
        ["amenities"] = "Building amenities",
        ["parking"] = "Parking ratio and type",
        ["broker_name"] = "Listing broker name",
        ["broker_company"] = "Brokerage firm",
    },
});
Console.WriteLine(result.Result);
// Response:
// {
// "result": {
// "property_name": "One Financial Plaza",
// "property_type": "Office",
// "address": "100 Main Street, Boston, MA 02110",
// "total_sf": "450,000",
// "available_sf": "75,000",
// "floors": "32",
// "year_built": "1985",
// "asking_rent": "$65.00 PSF/Year",
// "lease_type": "Full Service",
// "available_spaces": "Floor 15: 25,000 SF at $62.00; Floor 22: 50,000 SF at $68.00",
// "amenities": "Fitness center, Conference facility, Retail",
// "parking": "2.5/1,000 SF covered",
// "broker_name": "John Smith",
// "broker_company": "CBRE"
// }
// }
```

##### Ask the AI to evaluate market positioning

**cURL**

```bash
curl -G "https://api.webscraping.ai/ai/question" \
  --data-urlencode "api_key=YOUR_API_KEY" \
  --data-urlencode "url=https://cre-platform.com/property/downtown-office-tower" \
  --data-urlencode "question=How does this property compare to the market? Is the asking rent competitive? What are the key selling points?"
```

**Python**

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

client = Client(api_key="YOUR_API_KEY")
answer = client.question(
    "https://cre-platform.com/property/downtown-office-tower",
    question="How does this property compare to the market? Is the asking rent competitive? What are the key selling points?",
)
print(answer)
```

**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 answer = await client.question({
  url: 'https://cre-platform.com/property/downtown-office-tower',
  question: 'How does this property compare to the market? Is the asking rent competitive? What are the key selling points?',
});
console.log(answer);
```

**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');
$answer = $client->question(
    'https://cre-platform.com/property/downtown-office-tower',
    'How does this property compare to the market? Is the asking rent competitive? What are the key selling points?',
);
echo $answer;
```

**Ruby**

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

client = WebScrapingAI::Client.new(api_key: 'YOUR_API_KEY')
answer = client.question(
  'https://cre-platform.com/property/downtown-office-tower',
  question: 'How does this property compare to the market? Is the asking rent competitive? What are the key selling points?'
)
puts answer
```

**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"})
    answer, _ := client.Question(context.Background(), &webscrapingai.QuestionOptions{
        URL: "https://cre-platform.com/property/downtown-office-tower",
        Question: "How does this property compare to the market? Is the asking rent competitive? What are the key selling points?",
    })
    fmt.Println(answer)
}
```

**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.QuestionOptions;

Client client = new Client(Config.builder().apiKey("YOUR_API_KEY").build());
String answer = client.question(QuestionOptions.builder()
    .url("https://cre-platform.com/property/downtown-office-tower")
    .question("How does this property compare to the market? Is the asking rent competitive? What are the key selling points?")
    .build());
System.out.println(answer);
```

**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 answer = await client.QuestionAsync(new QuestionRequest {
    Url = "https://cre-platform.com/property/downtown-office-tower",
    Question = "How does this property compare to the market? Is the asking rent competitive? What are the key selling points?",
});
Console.WriteLine(answer);
```

## Why Use WebScraping.AI

**Any Platform:** Extract from any CRE listing site or broker platform.

**All Property Types:** Office, retail, industrial, multifamily, land.

**Market Coverage:** Build databases for any geographic market.

**AI Analysis:** Get insights beyond raw data points.

**Fresh Data:** Current listings and market rates.

#### CRE Use Cases

**Investment Analysis**

Evaluate acquisition opportunities

**Market Research**

Track rents, vacancy, and market trends

**Tenant Representation**

Find available spaces for tenants

**Competitive Intelligence**

Monitor competing properties

## Related Use Cases

More real estate solutions

[Property Listings](https://webscraping.ai/use-cases/property-listing-aggregation): Aggregate residential property listings.

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

[Price Monitoring](https://webscraping.ai/use-cases/price-monitoring): Track pricing across markets.

## Start Collecting CRE 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)