# LoopNet Scraper (`one-api/loopnet-scraper`) Actor Scrape LoopNet.com (CoStar) commercial real estate. Search For Lease / For Sale / Auction listings by location, ZIP, coordinates, polygon or URL with full commercial filters; enriched property details with spaces, brokers, facts and photos; plus autocomplete and property types. - **URL**: https://apify.com/one-api/loopnet-scraper.md - **Developed by:** [ONE API](https://apify.com/one-api) (community) - **Categories:** Lead generation, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## LoopNet Scraper Scrape **LoopNet.com** (the **CoStar** commercial real-estate marketplace β€” the #1 US platform for commercial property). Search listings **For Lease / For Sale / Auctions** by location, ZIP code, coordinates + radius, custom polygon, or a LoopNet search URL with the full set of commercial filters, pull fully **enriched property details** by listing id or URL, resolve geographies via autocomplete, and list LoopNet's official property-type taxonomy. ### What it does - **🏒 Property Details** β€” auto-detects each input as a numeric LoopNet listing id (`/details/byid`) or a `loopnet.com/Listing/...` URL (`/details/byurl`); returns the full **enriched** record: address + coordinates, price / lease rate, building class, **every available space** (floor/suite, size, term, rental rate, space use, build-out, availability), property facts (building size, typical floor size, ceiling height, parking, zoning...), highlights, description, **brokers with phone numbers**, owner, walk/transit/bike/drive scores, nearby transit/bus/rail/airport and the complete photo gallery (up to ~40 photos). - **πŸ”Ž Search Listings** β€” auto-detects a LoopNet search URL (`/search/byurl`), a 5-digit ZIP code (`/search/byzip`), or a free-text location (`/search/bylocation`). Deal mode, property types, and all range filters apply. - **πŸ“ Search by Coordinates** β€” radius search around a `latitude,longitude` point with an optional radius in **miles** (`/search/bycoordinates`). - **πŸ—ΊοΈ Search by Polygon** β€” search inside a custom area given as `lon lat,lon lat,...` pairs (`/search/bypolygon`). - **πŸ” Location Autocomplete** β€” resolve free text (city / county / ZIP / market) to LoopNet geography suggestions (`/autocomplete`). - **🏷️ Property Types Reference** β€” LoopNet's official commercial property-type / subtype taxonomy per country (`/propertytypes`) β€” every valid `propertyType` / `propertySubType` filter value. ### Filters - **Deal type**: For Lease, For Sale, or Auctions (Ten-X). - **Property types**: office, industrial, retail, flex, land, multifamily, hospitality, specialty, health care, shopping center, restaurant, sports & entertainment, residential income, lab β€” comma-combinable, plus dozens of subtypes (warehouse, data center, medical office, self-storage, strip center...). - **Ranges** (`min:X,max:Y`, either half optional): price, lease rate ($/SF/YR), building size (SF), available space (SF), lot size (acres), cap rate (%), year built, unit count. - **Commercial toggles**: sublease, net leased (NNN), distressed, Opportunity Zone, in-contract, Buy Now (auctions), vacant/owner-user, business for sale, investment, exclude leasehold. - **Sort**: recommended, newest/oldest, price, cap rate, building size, available space. - **Keywords**: free-text, e.g. `drive-thru`, `high ceilings`. ### Output - **One flat dataset row per listing, geography suggestion, or property type** β€” sortable, filterable, CSV / Excel / JSON exportable. - Columns: `Mode`, `Input Given`, `ID`, `Title` (street address / name), `Deal`, `Status`, `Property Type`, `Building Class`, `Price / Rate`, `Available Space`, `Size`, `Spaces`, `Building Info`, `City`, `State`, `ZIP`, `County`, `Latitude`, `Longitude`, `Description`, `Broker`, `Broker Phone`, `Broker Company`, `Walk Score`, `Photos`, `Cover Photo`, `Listing URL`. - The complete upstream JSON for each row is kept in the `Raw` column for power users β€” for details rows it includes all available spaces, facts, highlights, every photo URL, all brokers, scores, transportation and owner data. ### Inputs - Each section is independent β€” fill only the ones you need; multiple inputs per section, one per line. - The Search Filters apply to every location, ZIP, coordinate and polygon query (LoopNet search URLs carry their own filters). - **Coordinates** entries use `latitude,longitude` or `latitude,longitude,radiusMiles`, e.g. `34.0522,-118.2437,3` (3 miles around downtown LA). - **Polygon** entries use `lon lat,lon lat,...`, e.g. `-118.5 34.2,-118.5 33.9,-118.1 33.9,-118.1 34.2`. - Range filters use `min:X,max:Y`, e.g. price `min:1000000,max:10000000`, cap rate `min:4,max:12`. ### Pricing - Pay per result: **$3 per 1,000 dataset items** β€” the same rate on every Apify plan tier. - Apify start fee: $0.00005 per run. ### Notes - LoopNet serves **25 listings per server page** β€” the API merges pages internally, so *Results per page* goes up to **100**; raise *Pages per search* to fetch more. - Prices come as LoopNet displays them β€” sale prices (`$2,650,000`), lease rates (`$3.45 /SF/MO`), or auction terms β€” so the `Price / Rate` column is text. - Areas are in square feet, lot sizes in acres, prices in USD ($). - Property details are **enriched** β€” spaces, facts, highlights, broker phones, scores, transportation, owner and the photo gallery are merged from multiple LoopNet sources in one call. ### Errors - Failures land in the dataset as rows with `Mode = "ERROR"` and the upstream message in `Title` β€” nothing is silently dropped. # Actor input Schema ## `property_inputs` (type: `array`): Auto-detects each entry and calls the right endpoint: β€’ A numeric LoopNet listing id (e.g. `29122043`) β†’ `/details/byid` β€’ A `https://www.loopnet.com/Listing/...` URL β†’ `/details/byurl` Each row = one fully enriched commercial property record: address + coordinates, price / lease rate, building class, all available spaces (size, term, rate, use, build-out, availability), property facts (building size, typical floor size, ceiling height, parking, zoning...), highlights, description, brokers with phone numbers, owner, walk/transit/bike/drive scores, nearby transportation and the full photo gallery. Pull an id from any Search result row. ## `search_inputs` (type: `array`): Auto-detects each entry and routes to the right `/search/*` endpoint: β€’ A LoopNet search URL, e.g. `https://www.loopnet.com/search/office-space/los-angeles-ca/for-lease/` β†’ `/search/byurl` β€’ A 5-digit ZIP code, e.g. `90064` β†’ `/search/byzip` β€’ Anything else (city / county / market, e.g. `Austin, TX`) β†’ `/search/bylocation` The filters below apply to every location, ZIP, coordinate and polygon query (search URLs carry their own filters). Each hit returns one row per listing. ## `coordinate_inputs` (type: `array`): Radius search around a point via `/search/bycoordinates`. One point per line as `latitude,longitude` or `latitude,longitude,radiusMiles` (radius in MILES, default 5). Example: `34.0522,-118.2437,3` searches 3 miles around downtown Los Angeles. The filters below also apply. One row per listing. ## `polygon_inputs` (type: `array`): Search inside a custom area via `/search/bypolygon`. One polygon per line as space-separated `longitude latitude` pairs joined by commas, e.g. `-118.5 34.2,-118.5 33.9,-118.1 33.9,-118.1 34.2`. The search is bounded by the polygon's extent. The filters below also apply. One row per listing. ## `searchType` (type: `string`): Listing mode to search for: commercial space For Lease, properties For Sale, or Ten-X Auctions. Applies to every location / ZIP / coordinate / polygon query. ## `propertyType` (type: `string`): Commercial property type; comma-combine for multiple, e.g. `office,industrial`. Valid values: `office`, `industrial`, `retail`, `flex`, `land`, `multifamily`, `hospitality`, `specialty`, `health_care`, `shopping_center`, `restaurant`, `sports_entertainment`, `residential_income`, `lab`. Leave empty for all types. ## `propertySubType` (type: `string`): Narrow to a subtype (comma-combine allowed), e.g. `warehouse`, `distribution`, `data_center`, `manufacturing`, `cold_storage`, `loft`, `creative_space`, `medical_office`, `bank`, `freestanding`, `grocery`, `gas_station`, `storefront`, `strip_center`, `regional_mall`, `garden`, `mid_rise`, `high_rise`, `self_storage`, `car_wash`, `religious`, `school`, `parking`, `assisted_living`, `hospital`, `casino`, `golf`, `theater`, `residential_land`, `commercial_land`, `industrial_land`, `agricultural`. Use the Property Types section below to list every valid value. Leave empty for all. ## `priceRange` (type: `string`): Sale price as `min:X,max:Y` (either half optional), e.g. `min:1000000,max:10000000`. In For Lease mode (when no explicit lease rate is set) this filters the lease rate instead. ## `leaseRateRange` (type: `string`): Annual lease rate per square foot as `min:X,max:Y`, e.g. `min:10,max:50`. For Lease mode only. ## `buildingSizeRange` (type: `string`): Total building size in square feet as `min:X,max:Y`, e.g. `min:5000,max:200000`. ## `spaceSizeRange` (type: `string`): Available space in square feet as `min:X,max:Y`, e.g. `min:2000,max:20000`. For Lease mode. ## `lotSizeRange` (type: `string`): Lot size in acres as `min:X,max:Y`, e.g. `min:0.5,max:10`. ## `capRateRange` (type: `string`): Capitalization rate percentage as `min:X,max:Y`, e.g. `min:4,max:12`. For Sale mode. ## `yearBuiltRange` (type: `string`): Construction year as `min:X,max:Y`, e.g. `min:1990` or `min:1980,max:2010`. ## `unitCountRange` (type: `string`): Number of units as `min:X,max:Y`, e.g. `min:10,max:100`. Multifamily properties. ## `keywords` (type: `string`): Free-text keyword filter, e.g. `corner lot`, `drive-thru`, `high ceilings`. ## `sortOrder` (type: `string`): Result ordering for every location / ZIP / coordinate / polygon search. ## `pages` (type: `integer`): How many result pages to fetch for each search input (each page holds *Results per page* listings). ## `resultCount` (type: `integer`): Listings to return per page for every search (1–100; the API internally merges LoopNet's 25-listing server pages). ## `subLease` (type: `boolean`): Only sublease space (For Lease mode). ## `netLeased` (type: `boolean`): Only net-leased / triple-net investment properties. ## `distressed` (type: `boolean`): Only distressed assets. ## `opportunityZone` (type: `boolean`): Only properties inside a federal Opportunity Zone. ## `inContract` (type: `boolean`): Include listings already in contract or pending. ## `buyNowAvailable` (type: `boolean`): Only auction listings with a Buy Now price. ## `vacantOwnerUser` (type: `boolean`): Only vacant properties suited to owner-users (For Sale mode). ## `businessForSale` (type: `boolean`): Only listings where the operating business is included in the sale. ## `investment` (type: `boolean`): Only income-producing investment properties (For Sale mode). ## `excludeLeaseHold` (type: `boolean`): Exclude leasehold-interest sales (For Sale mode). ## `autocomplete_inputs` (type: `array`): Resolve free text (city / county / ZIP / market, e.g. `Austin`) to LoopNet geography suggestions via `/autocomplete`. Each suggestion = one row (name, geography id and type, city/state/country, coordinates). ## `propertytypes_inputs` (type: `array`): List LoopNet's official commercial property-type / subtype taxonomy per country via `/propertytypes` β€” every valid `propertyType` and `propertySubType` filter value. One row per property type per deal axis (For Sale / For Lease). Codes: `USA`, `CAN`, `GBR`, `FRA`, `ESP`, `AUS`. ## Actor input object example ```json { "property_inputs": [ "29122043", "https://www.loopnet.com/Listing/11340-W-Olympic-Blvd-Los-Angeles-CA/29122043/" ], "search_inputs": [ "Los Angeles, CA" ], "coordinate_inputs": [], "polygon_inputs": [], "searchType": "For_Lease", "propertyType": "", "propertySubType": "", "priceRange": "", "leaseRateRange": "", "buildingSizeRange": "", "spaceSizeRange": "", "lotSizeRange": "", "capRateRange": "", "yearBuiltRange": "", "unitCountRange": "", "keywords": "", "sortOrder": "Recommended", "pages": 1, "resultCount": 25, "subLease": false, "netLeased": false, "distressed": false, "opportunityZone": false, "inContract": false, "buyNowAvailable": false, "vacantOwnerUser": false, "businessForSale": false, "investment": false, "excludeLeaseHold": false, "autocomplete_inputs": [], "propertytypes_inputs": [] } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "property_inputs": [ "29122043", "https://www.loopnet.com/Listing/11340-W-Olympic-Blvd-Los-Angeles-CA/29122043/" ], "search_inputs": [ "Los Angeles, CA" ], "coordinate_inputs": [], "polygon_inputs": [], "autocomplete_inputs": [], "propertytypes_inputs": [] }; // Run the Actor and wait for it to finish const run = await client.actor("one-api/loopnet-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "property_inputs": [ "29122043", "https://www.loopnet.com/Listing/11340-W-Olympic-Blvd-Los-Angeles-CA/29122043/", ], "search_inputs": ["Los Angeles, CA"], "coordinate_inputs": [], "polygon_inputs": [], "autocomplete_inputs": [], "propertytypes_inputs": [], } # Run the Actor and wait for it to finish run = client.actor("one-api/loopnet-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "property_inputs": [ "29122043", "https://www.loopnet.com/Listing/11340-W-Olympic-Blvd-Los-Angeles-CA/29122043/" ], "search_inputs": [ "Los Angeles, CA" ], "coordinate_inputs": [], "polygon_inputs": [], "autocomplete_inputs": [], "propertytypes_inputs": [] }' | apify call one-api/loopnet-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=one-api/loopnet-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LoopNet Scraper", "description": "Scrape LoopNet.com (CoStar) commercial real estate. Search For Lease / For Sale / Auction listings by location, ZIP, coordinates, polygon or URL with full commercial filters; enriched property details with spaces, brokers, facts and photos; plus autocomplete and property types.", "version": "1.0", "x-build-id": "gDiHjQdvHrgtbxtFg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/one-api~loopnet-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-one-api-loopnet-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/one-api~loopnet-scraper/runs": { "post": { "operationId": "runs-sync-one-api-loopnet-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/one-api~loopnet-scraper/run-sync": { "post": { "operationId": "run-sync-one-api-loopnet-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "property_inputs": { "title": "Listing ID or LoopNet URL (one per line)", "type": "array", "description": "Auto-detects each entry and calls the right endpoint:\nβ€’ A numeric LoopNet listing id (e.g. `29122043`) β†’ `/details/byid`\nβ€’ A `https://www.loopnet.com/Listing/...` URL β†’ `/details/byurl`\n\nEach row = one fully enriched commercial property record: address + coordinates, price / lease rate, building class, all available spaces (size, term, rate, use, build-out, availability), property facts (building size, typical floor size, ceiling height, parking, zoning...), highlights, description, brokers with phone numbers, owner, walk/transit/bike/drive scores, nearby transportation and the full photo gallery. Pull an id from any Search result row.", "items": { "type": "string" } }, "search_inputs": { "title": "Location, ZIP code, or LoopNet search URL (one per line)", "type": "array", "description": "Auto-detects each entry and routes to the right `/search/*` endpoint:\nβ€’ A LoopNet search URL, e.g. `https://www.loopnet.com/search/office-space/los-angeles-ca/for-lease/` β†’ `/search/byurl`\nβ€’ A 5-digit ZIP code, e.g. `90064` β†’ `/search/byzip`\nβ€’ Anything else (city / county / market, e.g. `Austin, TX`) β†’ `/search/bylocation`\n\nThe filters below apply to every location, ZIP, coordinate and polygon query (search URLs carry their own filters). Each hit returns one row per listing.", "items": { "type": "string" } }, "coordinate_inputs": { "title": "Coordinates: lat,lon or lat,lon,radiusMiles (one per line)", "type": "array", "description": "Radius search around a point via `/search/bycoordinates`. One point per line as `latitude,longitude` or `latitude,longitude,radiusMiles` (radius in MILES, default 5). Example: `34.0522,-118.2437,3` searches 3 miles around downtown Los Angeles. The filters below also apply. One row per listing.", "items": { "type": "string" } }, "polygon_inputs": { "title": "Polygon: lon lat,lon lat,... (one polygon per line)", "type": "array", "description": "Search inside a custom area via `/search/bypolygon`. One polygon per line as space-separated `longitude latitude` pairs joined by commas, e.g. `-118.5 34.2,-118.5 33.9,-118.1 33.9,-118.1 34.2`. The search is bounded by the polygon's extent. The filters below also apply. One row per listing.", "items": { "type": "string" } }, "searchType": { "title": "Deal type", "enum": [ "For_Lease", "For_Sale", "Auctions" ], "type": "string", "description": "Listing mode to search for: commercial space For Lease, properties For Sale, or Ten-X Auctions. Applies to every location / ZIP / coordinate / polygon query.", "default": "For_Lease" }, "propertyType": { "title": "Property type(s)", "type": "string", "description": "Commercial property type; comma-combine for multiple, e.g. `office,industrial`. Valid values: `office`, `industrial`, `retail`, `flex`, `land`, `multifamily`, `hospitality`, `specialty`, `health_care`, `shopping_center`, `restaurant`, `sports_entertainment`, `residential_income`, `lab`. Leave empty for all types.", "default": "" }, "propertySubType": { "title": "Property subtype(s)", "type": "string", "description": "Narrow to a subtype (comma-combine allowed), e.g. `warehouse`, `distribution`, `data_center`, `manufacturing`, `cold_storage`, `loft`, `creative_space`, `medical_office`, `bank`, `freestanding`, `grocery`, `gas_station`, `storefront`, `strip_center`, `regional_mall`, `garden`, `mid_rise`, `high_rise`, `self_storage`, `car_wash`, `religious`, `school`, `parking`, `assisted_living`, `hospital`, `casino`, `golf`, `theater`, `residential_land`, `commercial_land`, `industrial_land`, `agricultural`. Use the Property Types section below to list every valid value. Leave empty for all.", "default": "" }, "priceRange": { "title": "Price range ($)", "type": "string", "description": "Sale price as `min:X,max:Y` (either half optional), e.g. `min:1000000,max:10000000`. In For Lease mode (when no explicit lease rate is set) this filters the lease rate instead.", "default": "" }, "leaseRateRange": { "title": "Lease rate range ($/SF/YR)", "type": "string", "description": "Annual lease rate per square foot as `min:X,max:Y`, e.g. `min:10,max:50`. For Lease mode only.", "default": "" }, "buildingSizeRange": { "title": "Building size (SF)", "type": "string", "description": "Total building size in square feet as `min:X,max:Y`, e.g. `min:5000,max:200000`.", "default": "" }, "spaceSizeRange": { "title": "Available space (SF)", "type": "string", "description": "Available space in square feet as `min:X,max:Y`, e.g. `min:2000,max:20000`. For Lease mode.", "default": "" }, "lotSizeRange": { "title": "Lot size (acres)", "type": "string", "description": "Lot size in acres as `min:X,max:Y`, e.g. `min:0.5,max:10`.", "default": "" }, "capRateRange": { "title": "Cap rate (%)", "type": "string", "description": "Capitalization rate percentage as `min:X,max:Y`, e.g. `min:4,max:12`. For Sale mode.", "default": "" }, "yearBuiltRange": { "title": "Year built", "type": "string", "description": "Construction year as `min:X,max:Y`, e.g. `min:1990` or `min:1980,max:2010`.", "default": "" }, "unitCountRange": { "title": "Unit count (multifamily)", "type": "string", "description": "Number of units as `min:X,max:Y`, e.g. `min:10,max:100`. Multifamily properties.", "default": "" }, "keywords": { "title": "Keywords", "type": "string", "description": "Free-text keyword filter, e.g. `corner lot`, `drive-thru`, `high ceilings`.", "default": "" }, "sortOrder": { "title": "Sort order", "enum": [ "Recommended", "newest", "oldest", "price_low_to_high", "price_high_to_low", "cap_rate_low_to_high", "cap_rate_high_to_low", "building_size_low_to_high", "building_size_high_to_low", "space_low_to_high", "space_high_to_low" ], "type": "string", "description": "Result ordering for every location / ZIP / coordinate / polygon search.", "default": "Recommended" }, "pages": { "title": "Pages per search", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many result pages to fetch for each search input (each page holds *Results per page* listings).", "default": 1 }, "resultCount": { "title": "Results per page", "minimum": 1, "maximum": 100, "type": "integer", "description": "Listings to return per page for every search (1–100; the API internally merges LoopNet's 25-listing server pages).", "default": 25 }, "subLease": { "title": "Sublease only", "type": "boolean", "description": "Only sublease space (For Lease mode).", "default": false }, "netLeased": { "title": "Net leased (NNN)", "type": "boolean", "description": "Only net-leased / triple-net investment properties.", "default": false }, "distressed": { "title": "Distressed", "type": "boolean", "description": "Only distressed assets.", "default": false }, "opportunityZone": { "title": "Opportunity Zone", "type": "boolean", "description": "Only properties inside a federal Opportunity Zone.", "default": false }, "inContract": { "title": "Include in-contract / pending", "type": "boolean", "description": "Include listings already in contract or pending.", "default": false }, "buyNowAvailable": { "title": "Buy Now available (Auctions)", "type": "boolean", "description": "Only auction listings with a Buy Now price.", "default": false }, "vacantOwnerUser": { "title": "Vacant / owner-user", "type": "boolean", "description": "Only vacant properties suited to owner-users (For Sale mode).", "default": false }, "businessForSale": { "title": "Business for sale", "type": "boolean", "description": "Only listings where the operating business is included in the sale.", "default": false }, "investment": { "title": "Investment properties", "type": "boolean", "description": "Only income-producing investment properties (For Sale mode).", "default": false }, "excludeLeaseHold": { "title": "Exclude leasehold", "type": "boolean", "description": "Exclude leasehold-interest sales (For Sale mode).", "default": false }, "autocomplete_inputs": { "title": "Location text to resolve (one per line)", "type": "array", "description": "Resolve free text (city / county / ZIP / market, e.g. `Austin`) to LoopNet geography suggestions via `/autocomplete`. Each suggestion = one row (name, geography id and type, city/state/country, coordinates).", "items": { "type": "string" } }, "propertytypes_inputs": { "title": "Country code (one per line)", "type": "array", "description": "List LoopNet's official commercial property-type / subtype taxonomy per country via `/propertytypes` β€” every valid `propertyType` and `propertySubType` filter value. One row per property type per deal axis (For Sale / For Lease). Codes: `USA`, `CAN`, `GBR`, `FRA`, `ESP`, `AUS`.", "items": { "type": "string" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```