LoopNet Commercial Real Estate Scraper

Extract commercial real estate listings from LoopNet search pages in a structured dataset. Collect property details, location data, listing metadata, images, pricing signals, and ranking information for market research, lead discovery, investment analysis, and listing monitoring.

Features

• Flexible Search Inputs - Start from a LoopNet search URL or build one from a location slug and listing type.
• Sale And Lease Support - Collect commercial properties listed for sale or for lease.
• Richer Listing Metadata - Capture IDs, property types, location fields, coordinates, image URLs, status fields, exposure level, and search ranking details.
• Duplicate-Free Results - Skip repeated records across pages and multiple start URLs.
• Clean Dataset Output - Remove empty fields so exported JSON, CSV, and Excel files stay readable.
• Pagination Control - Limit pages and result count for quick tests or larger collection runs.

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Use Cases

Investment Research

Build a list of available commercial properties in a target market. Compare asset type, size, price signals, location, and listing rank to identify opportunities worth deeper review.

Brokerage Lead Discovery

Collect structured listing data for broker research, outreach planning, and CRM enrichment. Listing URLs, property IDs, addresses, and market fields make it easier to match records with internal workflows.

Market Monitoring

Schedule recurring runs for the same LoopNet search and compare new results over time. This is useful for watching supply changes in a city, asset class, or transaction type.

Portfolio And Location Analysis

Use latitude, longitude, city, state, postal code, and property type fields to analyze where listings cluster. Export the dataset into BI tools or spreadsheets for mapping and filtering.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	LoopNet New York sale search	LoopNet search page URL to collect from.
location	String	No	new-york-ny	Location slug used when startUrl is not provided.
propertySegment	String	No	commercial-real-estate	Search category path segment.
listingType	String	No	for-sale	Listing type: for-sale or for-lease.
results_wanted	Integer	No	20	Maximum number of records to save.
max_pages	Integer	No	3	Maximum search result pages to process.
proxyConfiguration	Object	No	Disabled	Proxy settings for more reliable collection.

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Output Data

Each dataset item can include:

Field	Type	Description
listingId	String	LoopNet listing identifier.
title	String	Listing headline.
url	String	Listing detail page URL.
addressLine	String	Street address or displayed address.
city	String	City name.
state	String	State abbreviation.
postalCode	String	ZIP or postal code.
country	String	Country code.
county	String	County when available.
latitude	Number	Listing latitude.
longitude	Number	Listing longitude.
propertyType	String	Property category such as Retail, Office, or Industrial.
propertyTypeId	String	Property category identifier.
propertyId	String	LoopNet property identifier.
listingType	String	Sale or lease listing type.
listingTypeName	String	Source listing type label.
listingTypeId	String	Source listing type identifier.
exposureLevel	String	Listing exposure level.
listingStatus	String	Listing status text when available.
listingStatusId	String	Listing status identifier.
searchMarketId	String	Market identifier from the search result.
resultPageRank	Number	Rank within the current result page.
resultPositionRank	Number	Position rank within the search result.
squareFeet	String	Square footage when available.
sizeText	String	Displayed size summary.
offeringPrice	String	Displayed price when available.
capRate	Number	Capitalization rate when available.
yearBuilt	Number	Year built when available.
buildingClass	String	Building class when available.
brokerName	String	Broker name when available.
imageUrl	String	Primary listing image URL.
galleryUrls	Array	Listing gallery image URLs found in the search result payload.
buyNowEnabled	String	Buy-now availability flag when present.
sourceSearchUrl	String	Search URL used for the record.
searchPage	Number	Search result page number.
collectedAt	String	Collection timestamp in ISO format.

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Usage Examples

Basic Search URL

Collect 20 sale listings from a New York search:

{
    "startUrl": "https://www.loopnet.com/search/commercial-real-estate/new-york-ny/for-sale/",
    "results_wanted": 20,
    "max_pages": 3
}

Lease Listings By Location

Build the search from a city slug:

{
    "location": "chicago-il",
    "listingType": "for-lease",
    "results_wanted": 30,
    "max_pages": 4
}

Larger Market Run

Collect more records with proxy support:

{
    "startUrl": "https://www.loopnet.com/search/commercial-real-estate/los-angeles-ca/for-sale/",
    "results_wanted": 100,
    "max_pages": 8,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

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Sample Output

{
    "listingId": "40529829",
    "title": "Turnkey Retail on Major Brooklyn Thoroughfare",
    "url": "https://www.loopnet.com/Listing/1801-1803-Flatbush-Ave-Brooklyn-NY/40529829/",
    "addressLine": "1801-1803 Flatbush Ave",
    "city": "Brooklyn",
    "state": "NY",
    "postalCode": "11210",
    "country": "US",
    "latitude": 40.626239,
    "longitude": -73.940373,
    "propertyType": "Retail",
    "propertyTypeId": "6",
    "propertyId": "9283298",
    "listingType": "for-sale",
    "listingTypeName": "PropertyForAuction",
    "listingTypeId": "22",
    "exposureLevel": "Tier1",
    "resultPageRank": 1,
    "resultPositionRank": 1,
    "sizeText": "6,195 SF Retail",
    "imageUrl": "https://images1.loopnet.com/i2/example/117/image.jpg",
    "galleryUrls": [
        "https://images1.loopnet.com/i2/example/117/image.jpg",
        "https://images1.loopnet.com/i2/example/117/interior.jpg"
    ],
    "sourceSearchUrl": "https://www.loopnet.com/search/commercial-real-estate/new-york-ny/for-sale/",
    "searchPage": 1,
    "collectedAt": "2026-07-26T09:30:00.000Z"
}

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Tips For Best Results

Start With A Working Search URL

• Open the LoopNet search in your browser first.
• Use city and transaction pages that return visible listings.
• Keep query strings out of the URL unless you need a specific filter.

Keep Test Runs Small

• Use results_wanted: 20 while checking a new market.
• Increase max_pages after confirming the output looks right.
• Match results_wanted to realistic listing availability.

Use Proxies For Reliability

• Enable residential proxies for repeated or scheduled runs.
• Keep proxy settings consistent across monitoring jobs.
• Retry later if a market page temporarily blocks access.

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Integrations

Connect your data with:

• Google Sheets - Review and filter listings with a team.
• Airtable - Build a searchable property database.
• Make - Trigger follow-up workflows after each run.
• Zapier - Send new listings to other apps.
• Webhooks - Deliver results to internal systems.

Export Formats

• JSON - For developers and data pipelines.
• CSV - For spreadsheet analysis.
• Excel - For reports and sharing.
• XML - For legacy integrations.

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Frequently Asked Questions

Can I collect both sale and lease listings?

Yes. Use listingType with for-sale or for-lease, or provide a LoopNet URL that already contains the desired listing type.

How many listings can I collect?

You can collect up to your configured results_wanted value, limited by available results and max_pages.

Why are some fields missing?

Some listings do not include every field. Empty values are removed from each record so the dataset stays clean.

Can I monitor the same market over time?

Yes. Schedule the actor with the same input and compare datasets by listingId, url, and collectedAt.

Does the actor remove duplicates?

Yes. Records are deduplicated by listing ID or URL before being saved.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Scheduling Runs

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Legal Notice

This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with website terms of service and applicable laws. Use collected data responsibly.