LoopNet Commercial Properties Scraper

Pull commercial property listings from LoopNet across the United States: offices, retail spaces, industrial sites, multifamily, land, hotels, and more. Search by city slug or paste your own LoopNet URLs. Returns 25+ fields per listing including address, price, size, broker contact, photos, and (with detail fetch enabled) full description, cap rate, year built, and building class. Tuned for fast, low-cost runs.

Why this scraper

• Two input modes. Search by location slug + filters, or paste LoopNet URLs and walk forward.
• 25+ output fields. ID, URL, title, address, city, state, zip, lat/lng, price, price unit (total, per month, per sqft per year), size in sqft and acres, year built, cap rate, occupancy, broker name, brokerage, broker phone, photo URLs, description.
• Filter-aware. Listing type (for sale, for lease, auction), property type (office, retail, industrial, multifamily, land, hotels, restaurants, healthcare, special purpose, sports), min/max price, min/max size, sort by recency or price.
• Detail-page enrichment. Toggle on for full descriptions and JSON-LD structured fields; toggle off for fast SERP-only runs.
• Cost-conscious. A 100-listing run typically costs the same as a 10-listing run plus a small per-page bandwidth fee.

Data you get

Sample shape: values are illustrative placeholders, not from a live listing.

Field	Example
id	"00000001"
url	"https://www.loopnet.com/Listing/00000001/0-Sample-St-Anytown-CA/"
title	"Sample Listing Title"
listingType	"for-lease"
propertyType	"office-space"
addressRaw	"0 Sample St, Anytown, CA 00000"
street	"0 Sample St"
city	"Anytown"
state	"CA"
zipCode	"00000"
country	"US"
latitude	34.0000
longitude	-118.0000
price	0
priceRaw	"$0/SF/YR"
priceUnit	"per_sqft_year"
currency	"USD"
sizeSqft	0
sizeAcres	0.0
yearBuilt	1900
buildingClass	"A"
capRate	0.0
occupancy	"0%"
brokerName	"Agent Name"
brokerCompany	"Sample Brokerage"
brokerPhone	"+10000000000"
description	"Full property description appears here when fetchDetails=true."
primaryPhoto	"https://images1.loopnet.com/i2/000000/0x0/000000000.jpg"
photos	["https://images1.loopnet.com/i2/000000/0x0/000000000.jpg"]
scrapedAt	"2026-01-01T00:00:00.000Z"

How to use

1. Search a single city

{
  "mode": "search",
  "locations": ["los-angeles-ca"],
  "listingType": "for-lease",
  "propertyType": "office-space",
  "maxPages": 5,
  "maxListings": 100,
  "fetchDetails": true,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["DATACENTER"],
    "apifyProxyCountry": "US"
  }
}

2. Search with price and size filters

{
  "mode": "search",
  "locations": ["austin-tx"],
  "listingType": "for-sale",
  "propertyType": "multifamily",
  "minPrice": 1000000,
  "maxPrice": 10000000,
  "minSqft": 5000,
  "sortBy": "most-recent",
  "maxPages": 10,
  "maxListings": 200
}

3. Multi-location run

{
  "mode": "search",
  "locations": ["new-york-ny", "chicago-il", "houston-tx", "miami-fl"],
  "listingType": "for-sale",
  "propertyType": "retail-space",
  "maxPages": 3,
  "maxListings": 120
}

4. URL pass-through

{
  "mode": "url",
  "urls": [
    "https://www.loopnet.com/search/office-space/los-angeles-ca/for-lease/",
    "https://www.loopnet.com/search/industrial-properties/dallas-tx/for-sale/2/"
  ],
  "maxPages": 5,
  "maxListings": 200,
  "fetchDetails": true
}

In URL mode, filter inputs (listingType, propertyType, minPrice, etc.) are ignored. The actor walks forward from the page in each URL (so /2/ starts at page 2 and continues to /3/, /4/).

Input parameters

Parameter	Type	Default	Description
mode	string	"search"	search or url.
locations	string[]	["los-angeles-ca"]	Search mode. LoopNet location slugs (city + state). Use usa for nationwide.
listingType	string	"for-sale"	for-sale, for-lease, or auction.
propertyType	string	"all-commercial"	One of 11 categories. Use all-commercial for all.
minPrice / maxPrice	integer	none	Price range in USD. Applies to listings priced as totals.
minSqft / maxSqft	integer	none	Size range in square feet.
sortBy	string	"default"	default, most-recent, price-asc, price-desc, size-asc, size-desc.
urls	string[]	(one example)	URL mode. LoopNet SERP URLs to walk. Multi-URL supported.
maxPages	integer	5	Max SERP pages per location/URL.
maxListings	integer	0	Total listing cap across all searches. 0 = unlimited.
fetchDetails	boolean	true	Visit each listing page for description + JSON-LD fields.
proxy	object	Apify Datacenter US	Datacenter US is the default. Residential US works as a backup if datacenter quotas are exhausted.

Output example

Illustrative shape only: values are placeholders.

{
  "id": "00000001",
  "url": "https://www.loopnet.com/Listing/00000001/0-Sample-St-Anytown-CA/",
  "title": "Sample Listing Title",
  "listingType": "for-lease",
  "propertyType": "office-space",
  "addressRaw": "0 Sample St, Anytown, CA 00000",
  "street": "0 Sample St",
  "city": "Anytown",
  "state": "CA",
  "zipCode": "00000",
  "country": "US",
  "latitude": 34.0000,
  "longitude": -118.0000,
  "price": 0,
  "priceRaw": "$0/SF/YR",
  "priceUnit": "per_sqft_year",
  "currency": "USD",
  "sizeSqft": 0,
  "sizeAcres": null,
  "yearBuilt": 1900,
  "buildingClass": "A",
  "capRate": null,
  "occupancy": null,
  "brokerName": "Agent Name",
  "brokerCompany": "Sample Brokerage",
  "brokerPhone": "+10000000000",
  "description": "Full property description appears here when fetchDetails=true.",
  "primaryPhoto": "https://images1.loopnet.com/i2/000000/0x0/000000000.jpg",
  "photos": [
    "https://images1.loopnet.com/i2/000000/0x0/000000000.jpg"
  ],
  "scrapedAt": "2026-01-01T00:00:00.000Z"
}

Proxy

LoopNet is US-only: requests from non-US IPs are rejected with HTTP 403. Use Apify Datacenter US (the default) for reliable runs. Residential US works as a backup if you've exhausted datacenter quotas. If you supply your own proxy via proxy.proxyUrls, point at US exits.

Memory and cost

• Memory: 256 MB default, 1024 MB max.
• Long runs scale well: A long run is roughly the same per-page cost as a short one.
• Detail enrichment: Doubles request count (one detail page per listing). Set fetchDetails: false for SERP-only runs at half the cost.