# Crexi Commercial Real Estate Scraper (`wyle/crexi-scraper`) Actor Fast, HTTP-only scraper for Crexi commercial real estate listings. Extracts properties for sale and lease, warehouses, retail, offices, multifamily, land, asking prices, square footage, cap rates, zoning, broker contacts, licenses, and HD photo galleries. - **URL**: https://apify.com/wyle/crexi-scraper.md - **Developed by:** [Willy Lengkong](https://apify.com/wyle) (community) - **Security:** Limited permissions - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## 🏢 Crexi Commercial Real Estate Scraper > High-speed, HTTP-only scraper for **Crexi.com** — America's leading commercial real estate marketplace. Extract commercial listings, warehouses, office buildings, retail centers, multifamily properties, land, detailed broker contacts, and HD photo galleries without headless browser overhead. *** ### ⚡ Why Choose This Crexi Scraper? - **⚡ Ultra-Fast HTTP-Only Architecture**: Operates directly against internal REST data endpoints with `curl_cffi` TLS impersonation. Consumes up to **90% less RAM/CPU** compared to bloated Selenium/Puppeteer scrapers. - **📍 Nationwide & Granular Filtering**: Filter properties by city, state, custom keywords (e.g., *'warehouse'*, *'car wash'*, *'hotel'*), property types, price ranges, and building square footage. - **👔 Verified Broker Intelligence**: Automatically captures listing broker contacts, brokerage firms, official websites, profile links, and verified state real estate license numbers. - **🖼️ Full HD Photo Galleries**: Extracts full-resolution image CDN links (`imageUrl`, `wideTnUrl`, `bigTnUrl`) for every property. - **🏗️ Rich Property Specs**: Captures Zoning codes, APN (Assessor Parcel Number), Lot Size, Year Built, Cap Rates, Opportunity Zone status, and Offering Memorandum flags. - **💰 Cost-Effective**: Lightweight design minimizes Apify Compute Unit (CU) consumption, enabling massive crawls at a fraction of the cost. *** ### 📊 Features & Extracted Data Fields | Category | Extracted Fields | |---|---| | **Core Listing** | `id`, `name`, `url`, `urlSlug`, `askingPrice`, `askingPriceFormatted`, `propertyTypes`, `propertySubtypes`, `status` | | **Location & Geo** | `address`, `fullAddress`, `city`, `county`, `state`, `zipCode`, `latitude`, `longitude` | | **Physical Specs** | `squareFootage`, `squareFootageFormatted`, `lotSize`, `lotSizeUnit`, `zoning`, `yearBuilt`, `apn`, `capRate` | | **Broker Contacts** | `brokerageName`, `brokers` array (`id`, `name`, `brokerageName`, `brokerageWebsite`, `profileUrl`, `licenses`, `thumbnailUrl`) | | **Media & Docs** | `photos` (Full HD gallery URLs), `photosCount`, `isInOpportunityZone`, `hasOM`, `hasFlyer`, `hasVirtualTour` | | **Descriptions** | `description`, `marketingDescription`, `investmentHighlights`, `details` (Complete technical specifications dictionary) | | **Metadata** | `activatedOn`, `updatedOn`, `scrapedAt` | *** ### 📥 Input Parameters | Parameter | Type | Default | Description | |---|---|---|---| | `locationQuery` | String | `"Miami, FL"` | Search target location (e.g., `"Miami, FL"`, `"Los Angeles, CA"`, `"Texas"`, `"Chicago"`). Leave blank for nationwide. | | `searchUrls` | Array | `[]` | Direct Crexi search URLs or specific property listing URLs to scrape. | | `searchTerm` | String | `null` | Optional keyword (e.g., `"warehouse"`, `"car wash"`, `"hotel"`, `"medical office"`). | | `states` | Array | `[]` | Optional list of 2-letter state abbreviations (e.g., `["FL", "CA", "TX"]`). | | `cities` | Array | `[]` | Optional list of city names (e.g., `["Miami", "Orlando"]`). | | `propertyTypes` | Array | `[]` | Commercial types: `Industrial`, `Office`, `Retail`, `Multifamily`, `Land`, `Special Purpose`, `Hospitality`, `Mixed Use`. | | `minPrice` / `maxPrice` | Integer | `null` | Asking price filter bounds in USD. | | `minSquareFootage` / `maxSquareFootage` | Integer | `null` | Building size bounds in square feet. | | `includeUnpriced` | Boolean | `true` | Whether to include properties marked as 'Unpriced' or 'Call for Offers'. | | `sortBy` | String | `"activatedOn:desc"` | Sort ordering: Newest first, Price Low-High, Price High-Low, or Building Size. | | `fetchDetails` | Boolean | `true` | Enriches each property with full technical details, broker licenses, and HD photo galleries. | | `maxItems` | Integer | `50` | Maximum number of properties to extract. | | `proxyConfiguration` | Object | `{ "useApifyProxy": true }` | Uses Apify Residential US proxy by default on the platform. | *** ### 📤 Sample Output JSON ```json { "id": "2741769", "name": "1148 E 26th St", "url": "https://www.crexi.com/properties/2741769/florida-1148-e-26th-st", "urlSlug": "florida-1148-e-26th-st", "askingPrice": 950000.0, "askingPriceFormatted": "$950,000", "propertyTypes": [ "Industrial" ], "propertySubtypes": [ "Warehouse" ], "address": "1148 E 26th St, Hialeah, Miami-Dade County, FL 33147", "fullAddress": "1148 E 26th St, Hialeah, Miami-Dade County, FL 33147", "city": "Hialeah", "county": "Miami-Dade County", "state": "FL", "zipCode": "33147", "latitude": 25.84791, "longitude": -80.2377078, "squareFootage": 3706.0, "squareFootageFormatted": "3,706 SF", "lotSize": 5172.0, "lotSizeUnit": "sqft", "capRate": null, "zoning": "7100", "yearBuilt": "1956", "apn": "04-3116-005-0010", "description": "Industrial | 3,706 SF", "marketingDescription": "3,706 SF Warehouse (Footprint)\n5,172 SF Lot\n14’ Ceiling Height\n1-Street Level Loading Door\nDead End Street, Ample Parking\nBuilt in 1956/57\nZoned M-1 Industrial", "details": { "Asking Price": "$950,000", "Property Type": "Industrial", "Sub Type": "Warehouse, Industrial", "Square Footage": "3,706", "Zoning": "7100", "Lot Size (SqFt)": "5,172" }, "brokerageName": "Gridline Properties", "brokers": [ { "id": 182741, "name": "Alfredo Riascos", "brokerageName": "Gridline Properties", "brokerageWebsite": "http://www.gridlineproperties.com", "profileUrl": "https://www.crexi.com/profile/alfredoriascos", "thumbnailUrl": "https://crexi.com/images/format=auto,width=164,height=164,fit=cover/users/182741/profile.jpg", "licenses": [ "BK3306121" ] } ], "brokersCount": 1, "photos": [ "https://crexi.com/images/format=auto,width=3000,height=2000/assets/2741769/img1.jpg" ], "photosCount": 1, "isInOpportunityZone": false, "hasOM": false, "hasFlyer": true, "hasVirtualTour": false, "activatedOn": "2026-10-09T14:01:37.932Z", "updatedOn": "2026-10-12T18:22:10.114Z", "scrapedAt": "2026-11-04T13:04:45.120Z" } ``` *** ### ⚖️ License Apache-2.0 # Actor input Schema ## `locationQuery` (type: `string`): Geographic search target in the US (e.g., 'Miami, FL', 'Los Angeles, CA', 'Texas', 'Chicago'). Leave blank to search nationwide. ## `searchUrls` (type: `array`): Optional list of direct Crexi URLs. Supports search filter URLs (e.g. 'https://www.crexi.com/properties?cities=Miami\&states=FL') or property detail URLs (e.g. 'https://www.crexi.com/properties/2741769/florida-1148-e-26th-st'). ## `searchTerm` (type: `string`): Optional keyword to filter commercial properties (e.g., 'warehouse', 'car wash', 'hotel', 'medical office', 'storage'). ## `states` (type: `array`): Optional list of 2-letter state abbreviations to filter by (e.g., \['FL', 'CA', 'TX', 'NY']). ## `cities` (type: `array`): Optional list of city names to filter by (e.g., \['Miami', 'Orlando', 'Tampa']). ## `propertyTypes` (type: `array`): Filter by commercial property types. ## `minPrice` (type: `integer`): Minimum asking price in USD. ## `maxPrice` (type: `integer`): Maximum asking price in USD. ## `minSquareFootage` (type: `integer`): Minimum building square footage. ## `maxSquareFootage` (type: `integer`): Maximum building square footage. ## `includeUnpriced` (type: `boolean`): Whether to include properties without a public numerical asking price (e.g., 'Unpriced' or 'Call for Offers'). ## `sortBy` (type: `string`): Sorting order for property results. ## `fetchDetails` (type: `boolean`): When enabled, enriches each property with full details dictionary (Zoning, APN, Lot Size, Year Built), broker contact profiles, and HD photo gallery links. ## `maxItems` (type: `integer`): Maximum total commercial properties to extract. ## `requestDelayMs` (type: `integer`): Delay between consecutive detail requests in milliseconds to remain stealthy. ## `proxyConfiguration` (type: `object`): Proxy configuration. Uses Apify Residential US proxy by default on the Apify platform. ## Actor input object example ```json { "locationQuery": "Miami, FL", "searchUrls": [], "states": [], "cities": [], "propertyTypes": [], "includeUnpriced": true, "sortBy": "activatedOn:desc", "fetchDetails": true, "maxItems": 50, "requestDelayMs": 250, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("wyle/crexi-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 = {} # Run the Actor and wait for it to finish run = client.actor("wyle/crexi-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call wyle/crexi-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,wyle/crexi-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/S5o1aFtRBa8pXI42R/builds/UpFct8df58AgEj5ms/openapi.json