LoopNet & Crexi Scraper: Commercial Listings

listingId	2749151
site	crexi
purpose	sale

How it will work: 3 steps

Follow us on ApifyThe tool is built and waits in the queue for the Apify Store. Apify is the cloud platform where our tools run.
Paste your input and press StartNo code needed: you fill in a form (the input). It already has a working example. For example: crexi in Site. Each start is one run.
Download the resultsWhen the run ends, the results are in a table (the dataset). Open Output, press Export and pick Excel or CSV. JSON and the API are there too.

This tool is an Apify Actor: a small program that runs on Apify. You can also run it on a schedule, for example every Monday. New to it? Read how it works, step by step and the 8 words you need first.

Made by Cliqto Media, an independent digital media company. We made this tool. About us

What it does

Give this Actor a US place and it returns commercial property listings from Crexi and LoopNet in one table: price, cap rate, size, address, coordinates and broker company. You need no login and no account on these sites.

It reads Crexi, LoopNet or both in one run.
It covers listings for sale, for lease and at auction.
It filters by price, size, cap rate, lot, year built, units, rent, keyword and date.
It can also read each listing page for more fields, such as cap rate, NOI, year built and zoning.
It saves the broker company. It has no fields for people's contacts, and it removes emails and phone numbers in common formats from listing text.

Good for

You watch a US market and want new listings in a table.
You compare asking prices and price per square foot across sites.
You need a list of properties with coordinates for a map or a model.

Who uses it

Market watchers

Get new listings for a US market in a table.

Investors

Compare asking prices and price per square foot across sites.

Analysts

Build a list of properties with coordinates for a map or model.

Price

Prices will be shown after release.

Questions

Do I need a login on Crexi or LoopNet?

No. The tool reads public pages only. You need only an Apify account.

Does it give broker names, phones or emails?

No. It saves the broker company only.

Why is capRate empty in some rows?

On Crexi it needs a login. On LoopNet many listings do not show it on the search page.

Why does a run with no results cost money?

A run start is always charged. On LoopNet, each page read is charged too, because filters are applied after the page is read. Set a Max charge if you use narrow filters.

How complete and how fresh are the rows?

The rows show what the site showed at fetchedAt. A field is null when the site does not show it. In one test on 300 LoopNet sale rows, 284 had a price and 41 had a cap rate from search pages only.

Which site should I start with?

Start with Crexi for most cases: a run is faster and cheaper, and you get price, size and coordinates in most rows. Use LoopNet for cap rate, year built and lot size on search pages, and for lease rates.

Details

Step by step on Apify

In Site, keep Crexi (box 1).
In Purpose, keep For sale (box 2).
In Location, keep Phoenix, AZ or type your own US place (box 3).
In Max listings, keep 10 (box 4).
Click Start, wait for the run to end and open the Output tab.

Use cases

Task	Input	You get	Key fields	Next step
Find properties for sale in a market	`site`, `purpose: sale`, `location`	Listing	`price`, `pricePerSqft`, `capRate`, `address`	Sheet or CRM
Compare lease rates in a city	`purpose: lease`, `location`, `propertyType`	Listing	`rentPerSqftYearMin`, `rentPerSqftYearMax`, `sqftMin`, `sqftMax`	Sheet or BI tool
Watch new deals by schedule	`site: crexi`, `listedWithinDays`, `sort: newest`	Listing	`listingId`, `activatedOn`, `price`, `url`	Apify schedule, Slack or Notion
Screen investment deals	`minCapRate`, `includeDetails: true`	Listing with details	`capRate`, `noi`, `yearBuilt`, `zoning`	Financial model
Refresh a list of known listings	`startUrls`	One listing per link	`status`, `price`, `listingStatus`	Your database

Tips for better results

Start with Crexi. It is faster and cheaper than LoopNet.
Crexi cap rate and NOI need a login, so they stay empty. Use LoopNet with listing pages for them.
A search shows up to 1,500 listings on Crexi and 750 on LoopNet. Split by city or type for more.

Limits and good to know

One run: up to 1,500 listings. To get more, start several runs
One search: Crexi shows up to 1,500 listings and LoopNet shows up to 750. To get more, split the search by city or by type. The run tells you with SOURCE_CAP when a search was cut
Time: the default timeout is 300 seconds. In our tests, 700 to 1,500 Crexi rows took 9 to 17 seconds. 750 LoopNet rows took 141 to 195 seconds. Over 1,300 LoopNet rows from three places took about 280 seconds, and one such run reached the time limit at 1,350 rows. For the largest LoopNet runs, raise the timeout to 600 seconds
Listing pages: 100 LoopNet listings with includeDetails took 247 seconds. For more than 100, raise the timeout
Narrow LoopNet filters over many places: a run with 20 places and a filter that matched nothing reached the 300-second limit, failed with DEADLINE and read 61 pages. Use fewer places or filters that match
Crexi fields: capRate, NOI and year built need a Crexi login, so they stay null. Lot size comes only from listing pages. Crexi links have no broker company
Links: a Crexi search link is not read, and it saves an error row. Use a place or links to single listings
LoopNet fields: search pages do not show every field. A LoopNet search page has no price on auction listings. Read listing pages to get more

For developers

Sample result

One result from a real test run, in JSON. Real values change from run to run. In Excel or CSV each field is a column.

one result · JSON

{
  "listingId": "2749151",
  "site": "crexi",
  "purpose": "sale",
  "status": "complete",
  "title": "Jiffy Lube",
  "price": 2323000,
  "pricePerSqft": 795.55,
  "pricePerSqftBasis": "computed",
  "capRate": null,
  "propertyType": "Retail",
  "buildingSqft": 2920,
  "lotSize": null,
  "address": "4848 East Warner Road, Phoenix, Maricopa County, AZ 85044",
  "lat": 33.3316876,
  "lng": -111.9793332,
  "broker": "Matthews",
  "url": "https://www.crexi.com/properties/2749151/arizona-jiffy-lube",
  "source": "api.crexi.com/assets/search",
  "fetchedAt": "2026-11-07T09:29:31.606Z"
}

Data fields (40)

Field	Type	Meaning
`listingId`	string	Listing ID on the source site. Empty on service rows.
`site`	string	Source site.
`purpose`	string	sale, lease or auction. Empty when a LoopNet page does not say.
`status`	string	complete: all fields of the chosen route. partial: the detail page failed, search fields are kept. not_found: the search or link has nothing. error: this search or link failed or cannot run.
`statusReason`	string	Why a row is not complete.
`errorCode`	string	Machine-readable error, for example SOURCE_BLOCKED or UNSUPPORTED_FILTER.
`title`	string	Listing title.
`price`	number	Asking price in USD. Empty when the listing shows none: empty never means zero.
`priceText`	string	Price as the source shows it when it is not one number, for example a range, a rent or Unpriced.
`pricePerSqft`	number	Price per square foot in USD.
`pricePerSqftBasis`	string	source: shown by the site. computed: price divided by building size.
`capRate`	number	Cap rate in percent, for example 6.5.
`propertyType`	string	Property type as the source names it.
`propertySubType`	string	Property subtype as the source names it.
`buildingSqft`	number	Building size in square feet.
`sqftMin`	number	Smallest space for lease in square feet.
`sqftMax`	number	Largest space for lease in square feet.
`rentPerSqftYearMin`	number	Lowest rent in USD per square foot per year.
`rentPerSqftYearMax`	number	Highest rent in USD per square foot per year.
`rentType`	string	Rent basis as the source names it.
`lotSize`	number	Lot size in acres.
`units`	number	Number of units.
`spaces`	number	Number of spaces or suites for lease.
`properties`	number	Number of properties in a portfolio listing.
`yearBuilt`	number	Year built.
`address`	string	Address as shown.
`city`	string	City.
`state`	string	US state code.
`zip`	string	ZIP code.
`lat`	number	Latitude.
`lng`	number	Longitude.
`broker`	string	Brokerage company from the listing. The dataset has no fields for people's contacts.
`url`	string	Listing page.
`imageUrl`	string	Main photo.
`imageUrls`	array	Photos found on the page used.
`description`	string	Listing description.
`listingStatus`	string	Listing status on Crexi, for example On-Market or Auction.
`activatedOn`	string	Date the listing went live on Crexi.
`noi`	number	Net operating income in USD.
`zoning`	string	Zoning.

Input settings (25)

The main fields of the input form. With the API you send them as JSON.

Setting	Name in the API	Type	Example value
Site	`site`	string	`"crexi"`
Purpose	`purpose`	string	`"sale"`
Location	`location`	string	`"Phoenix, AZ"`
Property type	`propertyType`	string	`"any"`
Max listings	`maxItems`	integer	`10`
Open each listing page	`includeDetails`	boolean	`false`
More locations	`locations`	array
Links	`startUrls`	array
Min price, USD	`minPrice`	number
Max price, USD	`maxPrice`	number
Min size, sq ft	`minSqft`	number
Max size, sq ft	`maxSqft`	number
Min cap rate, %	`minCapRate`	number
Max cap rate, %	`maxCapRate`	number
Min lot, acres	`minLotAcres`	number
Max lot, acres	`maxLotAcres`	number
Built from	`minYearBuilt`	integer
Built until	`maxYearBuilt`	integer
Min units	`minUnits`	integer
Max units	`maxUnits`	integer
Min rent, USD per sq ft per year	`minRentPerSqft`	number
Max rent, USD per sq ft per year	`maxRentPerSqft`	number
Keyword	`keyword`	string
Include listings with no price	`includeUnpriced`	boolean	`true`
Listed in the last days	`listedWithinDays`	integer

LoopNet and Crexi Scraper: Commercial Real Estate

How it will work: 3 steps