# LoopNet.com Commercial Real Estate Scraper (`crawlerbros/loopnet-scraper`) Actor Scrape commercial real estate listings, broker profiles, and businesses for sale from LoopNet.com. Extracts title, price, address, property type, size, broker info. - **URL**: https://apify.com/crawlerbros/loopnet-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** E-commerce, Real estate, Lead generation - **Stats:** 3 total users, 2 monthly users, 0.0% runs succeeded, 8 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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.com Commercial Real Estate Scraper Scrape commercial real estate listings from [loopnet.com](https://www.loopnet.com/). Supports for-sale, for-lease, businesses-for-sale, and broker search pages. ### What this actor extracts Per listing (when Akamai permits): - `type`, `url`, `listingId`, `title` - `priceText`, `priceNumeric` - `address`, `sizeText`, `imageUrl` - `scrapedAt` ### Input | Field | Type | Description | |---|---|---| | `startUrls` | string[] | LoopNet URLs (search/listing/broker pages). | | `searchType` | enum | `for-sale` / `for-lease` / `businesses-for-sale` / `brokers` (used when building URL). | | `propertyType` | enum | `any`, `office`, `retail`, `industrial`, `multifamily`, `land`, `hotel`, `health-care`, `specialty`. | | `maxItems` | integer | Max listings per run. | ### ⚠️ Important: Akamai Bot Manager LoopNet.com is protected by **Akamai Bot Manager** with JS-challenge enforcement. This actor uses `curl_cffi` (Chrome TLS fingerprint) with a rotating Apify RESIDENTIAL US/CA proxy pool — but even residential sessions frequently get 403 responses. Akamai requires browser-level JS execution to issue session tokens. **When the actor cannot retrieve listings**, it emits a single `loopnet_akamai_blocked` sentinel record with attempted URLs and a description. **For guaranteed scraping**, route this actor through a paid anti-bot service (ZenRows, ScrapingBee, ScraperAPI). ### How it works 1. Rotate through 5 proxy configurations (RES-US → RES-CA → RES-any → RES-US → direct). 2. `curl_cffi` chrome131 impersonation + organic-traffic headers (Google referer, sec-fetch-\*). 3. Parse listing cards by finding anchors pointing at `/Listing//` and walking up to a container. 4. Detail pages parse `

` + page text for price / address / size. ### Limitations - **High 403 rate** — Akamai is tougher than DataDome or Cloudflare. - **No demographic / broker-detail enrichment** — those require rendering the full SPA. - **No pagination beyond first page of startUrl**. ### FAQ **Do I need a proxy?** No — RESIDENTIAL is baked in, but it may not bypass Akamai on every run. **Do I need cookies or login?** No. # Actor input Schema ## `startUrls` (type: `array`): LoopNet URLs: search pages, listing pages, broker profiles, or business-for-sale pages. ## `searchType` (type: `string`): Type of LoopNet search when building a URL from filters. ## `propertyType` (type: `string`): Property type filter. ## `state` (type: `string`): US state filter (two-letter). 'any' = nationwide (USA). ## `city` (type: `string`): Optional city filter. Format: 'los-angeles-ca', 'miami-fl' (city-state code with hyphens). ## `priceMin` (type: `integer`): Minimum listing price. 0 = no minimum. ## `priceMax` (type: `integer`): Maximum listing price. 0 = no maximum. ## `buildingSizeMin` (type: `integer`): Minimum building square footage. 0 = no minimum. ## `buildingSizeMax` (type: `integer`): Maximum building square footage. 0 = no maximum. ## `includeListingDetails` (type: `boolean`): Follow each listing URL to fetch its detail page (JSON-LD price, description, image, building size, cap rate). Slower but produces richer records. Default: true. ## `maxItems` (type: `integer`): Maximum listings per run. ## Actor input object example ```json { "startUrls": [ "https://www.loopnet.com/search/commercial-real-estate/usa/for-sale/" ], "searchType": "for-sale", "propertyType": "any", "state": "any", "priceMin": 0, "priceMax": 0, "buildingSizeMin": 0, "buildingSizeMax": 0, "includeListingDetails": true, "maxItems": 3 } ```` # 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 = { "startUrls": [ "https://www.loopnet.com/search/commercial-real-estate/usa/for-sale/" ], "maxItems": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/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 = { "startUrls": ["https://www.loopnet.com/search/commercial-real-estate/usa/for-sale/"], "maxItems": 3, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/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 '{ "startUrls": [ "https://www.loopnet.com/search/commercial-real-estate/usa/for-sale/" ], "maxItems": 3 }' | apify call crawlerbros/loopnet-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/loopnet-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LoopNet.com Commercial Real Estate Scraper", "description": "Scrape commercial real estate listings, broker profiles, and businesses for sale from LoopNet.com. Extracts title, price, address, property type, size, broker info.", "version": "1.0", "x-build-id": "zdldFV5McdLMdLnAV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~loopnet-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-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/crawlerbros~loopnet-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-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/crawlerbros~loopnet-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "LoopNet URLs: search pages, listing pages, broker profiles, or business-for-sale pages.", "items": { "type": "string" } }, "searchType": { "title": "Search Type", "enum": [ "for-sale", "for-lease", "businesses-for-sale", "brokers" ], "type": "string", "description": "Type of LoopNet search when building a URL from filters.", "default": "for-sale" }, "propertyType": { "title": "Property Type", "enum": [ "any", "office", "retail", "industrial", "multifamily", "land", "hotel", "health-care", "specialty" ], "type": "string", "description": "Property type filter.", "default": "any" }, "state": { "title": "State", "enum": [ "any", "al", "ak", "az", "ar", "ca", "co", "ct", "de", "fl", "ga", "hi", "id", "il", "in", "ia", "ks", "ky", "la", "me", "md", "ma", "mi", "mn", "ms", "mo", "mt", "ne", "nv", "nh", "nj", "nm", "ny", "nc", "nd", "oh", "ok", "or", "pa", "ri", "sc", "sd", "tn", "tx", "ut", "vt", "va", "wa", "wv", "wi", "wy" ], "type": "string", "description": "US state filter (two-letter). 'any' = nationwide (USA).", "default": "any" }, "city": { "title": "City", "type": "string", "description": "Optional city filter. Format: 'los-angeles-ca', 'miami-fl' (city-state code with hyphens)." }, "priceMin": { "title": "Price Min (USD)", "minimum": 0, "type": "integer", "description": "Minimum listing price. 0 = no minimum.", "default": 0 }, "priceMax": { "title": "Price Max (USD)", "minimum": 0, "type": "integer", "description": "Maximum listing price. 0 = no maximum.", "default": 0 }, "buildingSizeMin": { "title": "Building Size Min (SF)", "minimum": 0, "type": "integer", "description": "Minimum building square footage. 0 = no minimum.", "default": 0 }, "buildingSizeMax": { "title": "Building Size Max (SF)", "minimum": 0, "type": "integer", "description": "Maximum building square footage. 0 = no maximum.", "default": 0 }, "includeListingDetails": { "title": "Include Listing Details", "type": "boolean", "description": "Follow each listing URL to fetch its detail page (JSON-LD price, description, image, building size, cap rate). Slower but produces richer records. Default: true.", "default": true }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum listings per run.", "default": 25 } } }, "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 } } } } } } } } } } ```