LoopNet & Commercial Real Estate Scraper

Extract commercial property listings from LoopNet — office, retail, industrial, multifamily, land, hotels, and more. Get address, price, size, property type, broker contacts, and full listing details without a CoStar or LoopNet Pro subscription.

Features

• 7 property types — Office, Retail, Industrial, Multifamily, Land, Hotel, Healthcare, and any other type LoopNet lists
• For Sale and For Lease — filter by transaction type or scrape both
• Broker contacts — name, company, and phone number from detail pages
• Full listing details — year built, cap rate, zoning, tenancy, lot size, description
• Automatic pagination — follows Next page links up to your configured limit
• Structured output — clean, typed JSON records ready for spreadsheets, databases, or AI pipelines
• Pay per result — $0.005 per property, billed only for successfully extracted records

Use cases

• Investment research — screen properties by price, cap rate, size, and location without a CoStar subscription
• Broker prospecting — build contact lists of listing brokers and their companies in a target market
• Appraisal & market analysis — gather comparable sales data for commercial appraisals
• AI training data — large-scale structured real estate data for model training
• Portfolio monitoring — track listing activity in specific submarkets over time

Input

Field	Type	Default	Description
searchUrls	array	required	LoopNet search result URLs (paste directly from your browser)
maxItems	integer	100	Maximum properties to extract (0 = unlimited)
maxPagesPerSearch	integer	10	Pages to paginate per search URL
scrapeDetailPage	boolean	true	Visit detail pages for broker contacts and extra fields
transactionType	string	any	Filter: any, sale, or lease
propertyTypes	array	—	Optional type filter (e.g. ["Office","Industrial"])
proxyConfiguration	object	residential	Proxy settings — residential proxies recommended

Getting a search URL

1. Go to loopnet.com and search for properties using their filter UI
2. Apply filters: location, property type, price range, size, etc.
3. Copy the URL from your browser's address bar and paste it into searchUrls

Example inputs

Manhattan office listings for sale:

{
  "searchUrls": ["https://www.loopnet.com/search/office-space/manhattan-new-york-ny/for-sale/"],
  "maxItems": 200,
  "scrapeDetailPage": true
}

Industrial warehouses in the Midwest for lease:

{
  "searchUrls": [
    "https://www.loopnet.com/search/industrial-space/chicago-il/for-lease/",
    "https://www.loopnet.com/search/industrial-space/detroit-mi/for-lease/"
  ],
  "maxItems": 500,
  "transactionType": "lease"
}

Fast metadata-only scrape (no detail pages):

{
  "searchUrls": ["https://www.loopnet.com/search/commercial-real-estate/los-angeles-ca/for-sale/"],
  "maxItems": 1000,
  "scrapeDetailPage": false
}

Output

Each extracted property is pushed as a dataset record with the following fields:

Field	Type	Description
url	string	Full URL of the property listing
listingId	string	LoopNet numeric listing ID
propertyType	string	Office, Retail, Industrial, Multifamily, Land, etc.
transactionType	string	For Sale or For Lease
address	string	Street address
city	string	City
state	string	Two-letter state abbreviation
zip	string	ZIP code
price	string	Asking price (e.g. $2,500,000 or $45 PSF/YR)
pricePerSqFt	string	Price per square foot if shown
size	string	Building size (e.g. 10,000 SF)
lotSize	string	Lot or land area (e.g. 0.5 AC)
yearBuilt	string	Year the building was constructed
capRate	string	Capitalization rate (investment properties)
tenancy	string	Single or Multi tenant
zoning	string	Zoning classification
description	string	Full listing description text
brokerName	string	Listing broker's name
brokerCompany	string	Brokerage company name
brokerPhone	string	Broker's phone number
scrapedAt	string	ISO 8601 UTC timestamp

Example output record

{
  "url": "https://www.loopnet.com/Listing/123-Park-Ave-New-York-NY/12345678/",
  "listingId": "12345678",
  "propertyType": "Office",
  "transactionType": "For Sale",
  "address": "123 Park Ave",
  "city": "New York",
  "state": "NY",
  "zip": "10017",
  "price": "$8,500,000",
  "pricePerSqFt": "$850/SF",
  "size": "10,000 SF",
  "lotSize": null,
  "yearBuilt": "1968",
  "capRate": "5.2%",
  "tenancy": "Single",
  "zoning": "C6-4",
  "description": "Class A office building in Midtown Manhattan...",
  "brokerName": "John Smith",
  "brokerCompany": "CBRE",
  "brokerPhone": "(212) 555-1234",
  "scrapedAt": "2026-05-24T10:00:00.000Z"
}

Pricing

$0.005 per property extracted (charged only for successfully pushed records).

Volume	Cost
100 properties	$0.50
1,000 properties	$5.00
10,000 properties	$50.00

Note: there is a 14-day delay before pricing changes take effect per Apify policy.

Proxy & bot detection

LoopNet uses Akamai bot protection. Residential proxies are strongly recommended — the default input pre-selects Apify Residential proxies. Using datacenter proxies or no proxy will likely result in blocks (HTTP 403 or redirect to a CAPTCHA page).

FAQ

What data is publicly available on LoopNet without logging in? Listing address, property type, transaction type, price, and size are available without an account. Broker contact details and some additional fields (year built, cap rate) are on detail pages that are publicly accessible but may require proxy bypass of bot detection.

Why might some fields be null? Not all listings include every field. Cap rate is only shown for income-producing properties. Year built and zoning may be omitted by the seller. Broker phone is sometimes obscured behind a click-to-reveal that requires JS interaction.

How many results can I get per search URL? LoopNet typically shows up to 40-50 results per page and paginates up to several hundred pages for large markets. Set maxPagesPerSearch and maxItems to control volume and cost.

Can I scrape a specific property page? Yes — paste the direct listing URL into searchUrls. The actor detects whether a URL is a search results page or a direct listing.

Is this legal? This actor extracts publicly accessible commercial listing data. Users are responsible for complying with LoopNet's Terms of Service and applicable law, including restrictions on data resale and automated access.