# LoopNet Commercial Real Estate Scraper (`gio21/loopnet-scraper`) Actor Scrape LoopNet commercial real estate listings: title, full address, asking price, size, property type, city, state, ZIP and listing URL. Search by location, sale or lease, and property type. - **URL**: https://apify.com/gio21/loopnet-scraper.md - **Developed by:** [Gio](https://apify.com/gio21) (community) - **Categories:** Real estate, Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% 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 Extract commercial real estate listings from [LoopNet](https://www.loopnet.com), the largest commercial property marketplace in the US. Get the listing title, full address, asking price, size, property type and location. Built for CRE brokers, investors, market research and property lead generation. ### Features - Search by **location** (city/state or nationwide), **sale or lease**, and **property type** - Per-listing data: title, address, price, size (SF or acres), property type, city, state, ZIP and listing URL - Detects auction listings vs standard for-sale - Handles LoopNet's (CoStar) bot protection automatically (real browser + residential proxy) - Automatic pagination and de-duplication ### Input | Field | Type | Description | |-------|------|-------------| | `searchQuery` | string | Location, e.g. "Los Angeles, CA" or "USA". | | `listingType` | select | `for-sale` or `for-lease`. | | `propertyType` | string | Optional: office, retail, industrial, multifamily, land... | | `startUrl` | string | Exact LoopNet search URL. Overrides the fields above. | | `maxItems` | integer | Max listings. `0` = no limit. Default `100`. | | `proxyConfiguration` | object | Residential proxy strongly recommended (default). | #### Example input ```json { "searchQuery": "Los Angeles, CA", "listingType": "for-sale", "propertyType": "office", "maxItems": 100 } ```` ### Output ```json { "id": "35322378", "title": "Lovelock Warehouse with Fenced Yard", "price": "$250,000", "size": "1,200 SF Industrial", "propertyType": "Industrial", "saleType": "listing", "address": "Lovelock, NV 89419", "city": "Lovelock", "state": "NV", "zip": "89419", "url": "https://www.loopnet.com/Listing/600-Industrial-Way-Lovelock-NV/35322378/" } ``` ### Common use cases - Source commercial properties by market, type and budget - CRE broker and investor lead generation - Market analysis: pricing and inventory by city and property type - Build commercial real estate datasets ### Pricing Pay per result: a small fee to start the run plus a per-listing fee. Errors and duplicates are never charged. ### FAQ **Can I use my own LoopNet filters?** Yes, build the search on loopnet.com and pass the URL as `startUrl`. **Why do some listings show a low price?** Auction listings show the current bid, not an asking price. They are flagged with `saleType: "auction"`. **Is this affiliated with LoopNet or CoStar?** No. This is an independent tool for extracting publicly available data. Please respect LoopNet's terms of service. # Actor input Schema ## `searchQuery` (type: `string`): City and state to search (e.g. "Los Angeles, CA"), or "USA" for nationwide. ## `listingType` (type: `string`): Search properties for sale or for lease. ## `propertyType` (type: `string`): Optional property type slug (e.g. "office", "retail", "industrial", "multifamily", "land"). Leave empty for all types. ## `startUrl` (type: `string`): An exact LoopNet search URL (build it on loopnet.com and copy it). Overrides the fields above. ## `maxItems` (type: `integer`): Maximum number of listings to return. Set 0 for no limit. ## `proxyConfiguration` (type: `object`): Proxy used to reach LoopNet. Residential proxy is strongly recommended, LoopNet (CoStar) has aggressive bot protection. ## Actor input object example ```json { "searchQuery": "Los Angeles, CA", "listingType": "for-sale", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "searchQuery": "Los Angeles, CA", "listingType": "for-sale" }; // Run the Actor and wait for it to finish const run = await client.actor("gio21/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 = { "searchQuery": "Los Angeles, CA", "listingType": "for-sale", } # Run the Actor and wait for it to finish run = client.actor("gio21/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 '{ "searchQuery": "Los Angeles, CA", "listingType": "for-sale" }' | apify call gio21/loopnet-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gio21/loopnet-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LoopNet Commercial Real Estate Scraper", "description": "Scrape LoopNet commercial real estate listings: title, full address, asking price, size, property type, city, state, ZIP and listing URL. Search by location, sale or lease, and property type.", "version": "0.0", "x-build-id": "gluTfcCpdfbYxzrvE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gio21~loopnet-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gio21-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gio21~loopnet-scraper/runs": { "post": { "operationId": "runs-sync-gio21-loopnet-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gio21~loopnet-scraper/run-sync": { "post": { "operationId": "run-sync-gio21-loopnet-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Location", "type": "string", "description": "City and state to search (e.g. \"Los Angeles, CA\"), or \"USA\" for nationwide." }, "listingType": { "title": "Listing type", "enum": [ "for-sale", "for-lease" ], "type": "string", "description": "Search properties for sale or for lease.", "default": "for-sale" }, "propertyType": { "title": "Property type", "type": "string", "description": "Optional property type slug (e.g. \"office\", \"retail\", \"industrial\", \"multifamily\", \"land\"). Leave empty for all types." }, "startUrl": { "title": "Start URL (advanced)", "type": "string", "description": "An exact LoopNet search URL (build it on loopnet.com and copy it). Overrides the fields above." }, "maxItems": { "title": "Max items", "minimum": 0, "type": "integer", "description": "Maximum number of listings to return. Set 0 for no limit.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy used to reach LoopNet. Residential proxy is strongly recommended, LoopNet (CoStar) has aggressive bot protection.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```