# Crexi Commercial Real Estate Scraper (`jungle_synthesizer/crexi-real-estate-scraper`) Actor Scrape commercial real estate listings from Crexi.com. Extract address, property type, asking price, cap rate, building size, broker info, and more. Filter by listing type and US state. Use api mode for richer CRE data: NOI, tenancy, zoning, and marketing descriptions. - **URL**: https://apify.com/jungle\_synthesizer/crexi-real-estate-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Real estate, 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. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Crexi Commercial Real Estate Scraper Scrape commercial real estate listings from [Crexi.com](https://www.crexi.com) — one of the largest US commercial real estate marketplaces. Extract comprehensive property data including address, asking price, cap rate, building size, year built, broker details, and more. Filter by listing type (sale or lease) and US state. ### What you get Each scraped record includes: | Field | Description | |-------|-------------| | `property_id` | Unique Crexi property identifier | | `listing_url` | Full URL to the detail page | | `property_name` | Property name or headline | | `property_type` | Office, Retail, Industrial, Multifamily, Land, Hotel, etc. | | `listing_type` | Sale or Lease | | `address` | Street address | | `city` / `state` / `zip_code` | Location fields | | `asking_price` | Listed price (for-sale listings) | | `price_per_sqft` | Price per square foot | | `cap_rate` | Capitalization rate | | `noi` | Net Operating Income | | `building_size_sqft` | Total building area | | `lot_size` | Lot or land area | | `year_built` | Year of construction | | `units` | Number of units (multifamily/hotel) | | `occupancy_rate` | Current occupancy percentage | | `listing_status` | Active, Under Contract, etc. | | `broker_name` | Listing broker/agent name | | `broker_company` | Brokerage firm | | `description` | Full property description text | | `image_url` | Primary listing image URL | | `scraped_at` | ISO-8601 scrape timestamp | ### Input options | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `maxItems` | integer | 50 | Maximum number of listings to scrape | | `listingType` | string | `sale` | `sale`, `lease`, or `all` | | `state` | string | *(all states)* | Two-letter US state code, e.g. `CA`, `TX` | | `startUrls` | array | — | Override with specific Crexi search or property URLs | #### Example: Scrape industrial for-sale listings in Texas ```json { "maxItems": 50, "listingType": "sale", "state": "TX" } ```` #### Example: Scrape office leases nationwide ```json { "maxItems": 100, "listingType": "lease" } ``` #### Example: Start from a custom search URL ```json { "maxItems": 25, "startUrls": [ { "url": "https://www.crexi.com/properties?transactionType=sale&propertyTypes=Office" } ] } ``` ### How it works The scraper uses a browser-based crawler (Playwright/Chromium) to bypass Cloudflare protection on Crexi.com. It: 1. Navigates to the Crexi property search with your filters applied 2. Extracts property card links from each listing page 3. Visits each property detail page for complete data 4. Paginates automatically until `maxItems` is reached Requires residential proxy to pass Cloudflare checks — the proxy cost is included in the per-record price. ### Use cases - **Real estate investors** — screen deal flow, track cap rates and pricing by market - **Market research** — analyze commercial real estate supply, pricing trends by property type and region - **Lead generation** — identify active listings and contact broker information - **Portfolio monitoring** — track competitor listings or target properties across markets ### Pricing This actor uses Pay-Per-Event (PPE) pricing: a small charge per run plus a per-record fee. The residential proxy required to bypass Cloudflare is included in the cost. ### Notes - Crexi.com uses Cloudflare protection. The scraper automatically handles the challenge using a residential proxy. - Data availability varies by listing. Unlisted fields (cap rate, NOI, occupancy) are `null` when the broker has not disclosed them. - Results reflect publicly available listing data — no login or subscription is 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. ## `maxItems` (type: `integer`): Maximum number of listings to scrape. Default is 50. ## `source` (type: `string`): 'web' (default) uses the Crexi listing-page render path (residential proxy, same behaviour as before FR-435). 'api' uses the Crexi JSON API (no proxy needed) and returns richer CRE fields: cap\_rate, noi, tenancy, zoning, marketing\_description. ## `listingType` (type: `string`): web mode — filter by listing type: 'sale', 'lease', or 'all'. In api mode use transactionType instead. ## `state` (type: `string`): web mode — two-letter US state code (e.g. 'CA', 'TX', 'FL'). Leave blank for all states. In api mode use states instead. ## `startUrls` (type: `array`): web mode only — optional list of specific Crexi search or property URLs to scrape. Overrides listingType and state filters when provided. ## `transactionType` (type: `string`): api mode only — filter by transaction type: sale, lease, or auction. Leave blank for all. ## `propertyTypes` (type: `array`): api mode only — filter by property types, e.g. office, retail, industrial, multifamily. Leave blank for all. ## `states` (type: `array`): api mode only — filter by US state codes, e.g. CA, NY, TX. Leave blank for all. ## `minAskingPrice` (type: `integer`): api mode only — minimum asking price filter in USD. ## `maxAskingPrice` (type: `integer`): api mode only — maximum asking price filter in USD. ## `includeUnpriced` (type: `boolean`): api mode only — whether to include listings without a listed price. ## 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...", "maxItems": 10, "source": "web", "listingType": "sale", "startUrls": [ { "url": "https://www.crexi.com/properties" } ], "transactionType": "sale" } ``` # 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...", "maxItems": 10, "source": "web", "listingType": "sale", "state": "", "startUrls": [ { "url": "https://www.crexi.com/properties" } ], "transactionType": "sale", "includeUnpriced": false }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/crexi-real-estate-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...", "maxItems": 10, "source": "web", "listingType": "sale", "state": "", "startUrls": [{ "url": "https://www.crexi.com/properties" }], "transactionType": "sale", "includeUnpriced": False, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/crexi-real-estate-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...", "maxItems": 10, "source": "web", "listingType": "sale", "state": "", "startUrls": [ { "url": "https://www.crexi.com/properties" } ], "transactionType": "sale", "includeUnpriced": false }' | apify call jungle_synthesizer/crexi-real-estate-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/crexi-real-estate-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Crexi Commercial Real Estate Scraper", "description": "Scrape commercial real estate listings from Crexi.com. Extract address, property type, asking price, cap rate, building size, broker info, and more. Filter by listing type and US state. Use api mode for richer CRE data: NOI, tenancy, zoning, and marketing descriptions.", "version": "0.1", "x-build-id": "0hfAWpratbaWx08oc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~crexi-real-estate-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-crexi-real-estate-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~crexi-real-estate-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-crexi-real-estate-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~crexi-real-estate-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-crexi-real-estate-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", "required": [ "maxItems" ], "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." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of listings to scrape. Default is 50.", "default": 50 }, "source": { "title": "Data Source / Endpoint Mode", "enum": [ "web", "api" ], "type": "string", "description": "'web' (default) uses the Crexi listing-page render path (residential proxy, same behaviour as before FR-435). 'api' uses the Crexi JSON API (no proxy needed) and returns richer CRE fields: cap_rate, noi, tenancy, zoning, marketing_description.", "default": "web" }, "listingType": { "title": "Listing Type (web mode)", "enum": [ "sale", "lease", "all" ], "type": "string", "description": "web mode — filter by listing type: 'sale', 'lease', or 'all'. In api mode use transactionType instead.", "default": "sale" }, "state": { "title": "State Filter (web mode)", "type": "string", "description": "web mode — two-letter US state code (e.g. 'CA', 'TX', 'FL'). Leave blank for all states. In api mode use states instead." }, "startUrls": { "title": "Start URLs (web mode)", "type": "array", "description": "web mode only — optional list of specific Crexi search or property URLs to scrape. Overrides listingType and state filters when provided.", "items": { "type": "string" } }, "transactionType": { "title": "Transaction Type (api mode)", "type": "string", "description": "api mode only — filter by transaction type: sale, lease, or auction. Leave blank for all." }, "propertyTypes": { "title": "Property Types (api mode)", "type": "array", "description": "api mode only — filter by property types, e.g. office, retail, industrial, multifamily. Leave blank for all.", "items": { "type": "string" } }, "states": { "title": "States (api mode)", "type": "array", "description": "api mode only — filter by US state codes, e.g. CA, NY, TX. Leave blank for all.", "items": { "type": "string" } }, "minAskingPrice": { "title": "Min Asking Price USD (api mode)", "type": "integer", "description": "api mode only — minimum asking price filter in USD." }, "maxAskingPrice": { "title": "Max Asking Price USD (api mode)", "type": "integer", "description": "api mode only — maximum asking price filter in USD." }, "includeUnpriced": { "title": "Include Unpriced Listings (api mode)", "type": "boolean", "description": "api mode only — whether to include listings without a listed price." } } }, "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 } } } } } } } } } } ```