# LoopNet Commercial Real Estate Scraper (`jungle_synthesizer/loopnet-scraper`) Actor Scrape commercial property listings from LoopNet -- the #1 US commercial real estate marketplace. Extract addresses, prices, square footage, broker contacts, and more. Filter by property type (office, retail, industrial), listing type (for-sale/for-lease), and location. - **URL**: https://apify.com/jungle\_synthesizer/loopnet-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Real estate - **Stats:** 2 total users, 1 monthly users, 75.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Commercial Real Estate Scraper Scrape commercial property listings from LoopNet — the #1 US commercial real estate marketplace owned by CoStar Group. Extract addresses, prices, square footage, broker contacts, and more. Filter by property type, listing type (for-sale/for-lease), and US state. ### What it scrapes - Property name and full address (street, city, state, ZIP) - Listing type (for-sale / for-lease) and property type - Price and price per sq ft (when listed) - Square footage - Broker contact info (name, company, phone when present) - Property images - Last updated date ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `propertyTypes` | array | `["commercial-real-estate"]` | LoopNet property type URL slugs (see below) | | `listingType` | string | `""` | `for-sale`, `for-lease`, or blank for both | | `location` | string | `""` | US state code (`ny`, `ca`, `tx`, `il`) — leave blank for nationwide | | `startUrls` | array | `[]` | Direct LoopNet search URLs — overrides propertyTypes/location | | `maxPagesPerType` | integer | `2` | Max search result pages per property type (25 listings/page) | | `maxItems` | integer | `25` | Maximum total listings to collect | #### Property type slugs Common values for `propertyTypes`: - `commercial-real-estate` — all commercial listings - `office-space` — office buildings - `retail-space` — retail properties - `industrial-space` — industrial/warehouse - `multifamily-apartment-buildings` — apartment buildings - `land` — commercial land - `special-purpose`, `flex-space`, `coworking-space`, `health-care-real-estate`, `businesses-for-sale` #### Location format Use two-letter US state codes: `ny`, `ca`, `tx`, `il`, `fl`, `wa`, etc. Leave blank for a nationwide search. #### Start URL examples ```` https://www.loopnet.com/search/office-space/ny/for-lease/ https://www.loopnet.com/search/industrial-space/ca/for-sale/ ```` ### Output format Each listing produces one record: ```json { "listing_id": "20044350", "property_name": "667 Madison Ave, New York, NY 10065", "property_type": "Office", "listing_type": "for-lease", "address": "667 Madison Ave", "city": "New York", "state": "NY", "zip": "10065", "price": null, "price_per_sqft": null, "square_footage": 50675, "lot_size": null, "year_built": null, "cap_rate": null, "noi": null, "zoning": null, "broker_name": "Glenn Frankel", "broker_company": "Hartz Mountain Industries, Inc.", "broker_phone": null, "broker_email": null, "property_highlights": [], "amenities": [], "images": ["https://images1.loopnet.com/..."], "listing_url": "https://www.loopnet.com/Listing/667-Madison-Ave-New-York-NY/20044350/", "days_on_market": null, "last_updated": "2026-06-01T00:00:00.000Z", "scraped_at": "2026-06-24T16:00:00.000Z" } ```` ### Notes - Each search page returns up to 25 listings. Use `maxPagesPerType` to control how many pages to scrape per property type. - Financial metrics (cap rate, NOI, zoning) and contact details are only available on listing detail pages; some listings do not disclose them. - This actor uses Bright Data Web Unlocker to bypass LoopNet's Akamai anti-bot protection — no proxy configuration required. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `propertyTypes` (type: `array`): LoopNet property type slugs to scrape. Valid values: commercial-real-estate, office-space, retail-space, industrial-space, multifamily-apartment-buildings, land, special-purpose, flex-space, coworking-space, health-care-real-estate, businesses-for-sale. Defaults to commercial-real-estate. ## `listingType` (type: `string`): Filter by listing type. Leave blank to include both for-sale and for-lease listings. ## `location` (type: `string`): Geographic filter using US state codes (e.g. ny, ca, tx, il). Leave blank for a nationwide search. Use two-letter state codes matching the LoopNet URL format. ## `maxPagesPerType` (type: `integer`): Maximum number of search result pages per property type. Each page shows ~25 listings. ## `maxItems` (type: `integer`): Maximum total number of property listings to collect. ## `startUrls` (type: `array`): Directly specify LoopNet search result page URLs. If provided, overrides propertyTypes and location. Each item should be a LoopNet search URL. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "propertyTypes": [ "commercial-real-estate" ], "maxPagesPerType": 2, "maxItems": 2, "startUrls": [] } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "propertyTypes": [ "commercial-real-estate" ], "listingType": "", "location": "", "maxPagesPerType": 2, "maxItems": 2, "startUrls": [] }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/loopnet-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "propertyTypes": ["commercial-real-estate"], "listingType": "", "location": "", "maxPagesPerType": 2, "maxItems": 2, "startUrls": [], } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/loopnet-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "propertyTypes": [ "commercial-real-estate" ], "listingType": "", "location": "", "maxPagesPerType": 2, "maxItems": 2, "startUrls": [] }' | apify call jungle_synthesizer/loopnet-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/loopnet-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LoopNet Commercial Real Estate Scraper", "description": "Scrape commercial property listings from LoopNet -- the #1 US commercial real estate marketplace. Extract addresses, prices, square footage, broker contacts, and more. Filter by property type (office, retail, industrial), listing type (for-sale/for-lease), and location.", "version": "0.1", "x-build-id": "beFKIXDgqoMF3v3ec" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~loopnet-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-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/jungle_synthesizer~loopnet-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-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/jungle_synthesizer~loopnet-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-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": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "propertyTypes": { "title": "Property Types", "type": "array", "description": "LoopNet property type slugs to scrape. Valid values: commercial-real-estate, office-space, retail-space, industrial-space, multifamily-apartment-buildings, land, special-purpose, flex-space, coworking-space, health-care-real-estate, businesses-for-sale. Defaults to commercial-real-estate.", "items": { "type": "string" } }, "listingType": { "title": "Listing Type", "enum": [ "", "for-sale", "for-lease" ], "type": "string", "description": "Filter by listing type. Leave blank to include both for-sale and for-lease listings." }, "location": { "title": "Location", "type": "string", "description": "Geographic filter using US state codes (e.g. ny, ca, tx, il). Leave blank for a nationwide search. Use two-letter state codes matching the LoopNet URL format." }, "maxPagesPerType": { "title": "Max Pages Per Property Type", "type": "integer", "description": "Maximum number of search result pages per property type. Each page shows ~25 listings." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum total number of property listings to collect." }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Directly specify LoopNet search result page URLs. If provided, overrides propertyTypes and location. Each item should be a LoopNet search URL.", "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 } } } } } } } } } } ```