Commercial real estate dataset
Identify market opportunities, mitigate risk, and optimize portfolio performance with commercial real estate datasets
- Available as a custom dataset request
- Free real estate data samples for download
- 100% compliant scraping
{
"type": "object",
"fields": {
"property_listings": {
"type": "array",
"active": true,
"items": {
"type": "object",
"fields": {
"property_name": {
"type": "text",
"active": true,
"sample_value": "Downtown Office Tower"
},
"property_type": {
"type": "text",
"active": true,
"sample_value": "Office"
},
"listing_date": {
"type": "date",
"active": true,
"sample_value": "2024-01-15"
},
"price": {
"type": "number",
"active": true,
"sample_value": 2500000
},
"price_per_sq_ft": {
"type": "number",
"active": true,
"sample_value": 250
},
"lease_rate": {
"type": "text",
"active": true,
"sample_value": "$20/SF/YR"
},
"property_size": {
"type": "number",
"active": true,
"sample_value": 10000
},
"location": {
"type": "object",
"fields": {
"address": {
"type": "text",
"active": true,
"sample_value": "123 Main St, Springfield"
},
"city": {
"type": "text",
"active": true,
"sample_value": "Springfield"
},
"state": {
"type": "text",
"active": true,
"sample_value": "IL"
},
"zipcode": {
"type": "text",
"active": true,
"sample_value": "62701"
}
}
},
"year_built": {
"type": "number",
"active": true,
"sample_value": 1985
},
"occupancy_rate": {
"type": "number",
"active": true,
"sample_value": 85
},
"cap_rate": {
"type": "number",
"active": true,
"sample_value": 6.5
},
"net_operating_income": {
"type": "number",
"active": true,
"sample_value": 162500
},
"zoning": {
"type": "text",
"active": true,
"sample_value": "C-2"
},
"nearby_landmarks": {
"type": "array",
"active": true,
"items": {
"type": "text",
"sample_value": "Convention Center"
}
},
"traffic_counts": {
"type": "number",
"active": true,
"sample_value": 50000
},
"link_to_listing": {
"type": "url",
"active": true,
"sample_value": "https://www.loopnet.com/listing/12345"
}
}
}
},
"market_statistics": {
"type": "object",
"active": true,
"fields": {
"total_listings": {
"type": "number",
"active": true,
"sample_value": 500
},
"average_price_per_sq_ft": {
"type": "number",
"active": true,
"sample_value": 300
},
"average_cap_rate": {
"type": "number",
"active": true,
"sample_value": 7
}
}
},
"source_url": {
"type": "url",
"required": true,
"active": true,
"sample_value": "https://www.loopnet.com/"
}
}
}
Commercial real estate dataset sample
Automated dataset creation platform
-
Initial setup
Add the URLs of your target website.
-
Sample creation
Get AI-generated schema and sample. Set up validation rules.
-
Proof of concept
The scraper is built based on schema and validation rules.
-
Data collection & delivery
Data is collected and delivered.
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Custom Dataset Pricing
- AI-Generated schema & sample
- Control over data validation
- Real-time product quantity est.
- Daily, Weekly, Monthly, Custom
Commercial real estate datasets tailored to your needs
Data subscription
Subscribe to access datasets at a significantly reduced cost.
File output formats
JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.
Flexible delivery
Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.
Scalable data
Scale without worrying about infra, proxy servers, or blocks.
Cost savings
Customize any dataset using filters and formatting options.
Code maintenance
Datasets are maintained based on website structure changes.
Simplified integrations
Benefit from integrations with Snowflake and AWS.
24/7 support
A dedicated team of data professionals is here to help.
Leaders in compliance
Data is ethically obtained and compliant with all privacy laws.
Get structured and reliable commercial real estate data
We’ll provide the data while you focus on the rest
High-volume web data
With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.
Data for immediate use
Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.
Automated data flow
Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.
How companies use commercial real estate datasets
Market research
Market analysis
Risk assessment
Commercial Real Estate Dataset FAQs
What data is included in the commercial real estate dataset?
The commercial real estate is a custom dataset. We will build the dataset based on your needs. Data points may include any public data such as: property address, property type, property size, sale price or asking price, lease rate, building age or year built, number of stories or floors, parking availability, tenant occupancy rate, property features or amenities, location data, listing agent or broker contact information, property photos, property tax information and more.
Can I get updates for my purchased commercial real estate dataset?
Yes, you can get updates to your commercial real estate dataset on a daily, weekly, monthly, or custom basis.
Can I purchase a subset of the commercial real estate dataset?
Yes, you can purchase a commercial real estate subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.
In what format will I receive the commercial real estate dataset?
Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.
Can I get a data sample?
Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.
Can I request specific data points from the commercial real estate dataset?
Yes, you can request specific data points from the commercial real estate dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.
Is it possible to integrate the commercial real estate dataset directly into my existing systems?
Absolutely, the commercial real estate dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.