# Crexi Commercial Real Estate Scraper — No API Key (`jamhimself/crexi-commercial-scraper`) Actor Scrape Crexi commercial real estate listings to JSON — no login, no API key. Get property name, full address, type, size, broker, status, price & detail attributes (units, year built, zoning, cap rate). Bulk, pay per listing. - **URL**: https://apify.com/jamhimself/crexi-commercial-scraper.md - **Developed by:** [Jaime Martinez](https://apify.com/jamhimself) (community) - **Categories:** Real estate, Agents, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $10.00 / 1,000 listings 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 — No API Key Scrape **Crexi commercial real estate listings** into clean JSON — no login, no API key. Get property name, full address, property type, size, brokerage, status, and per-listing detail attributes (units, year built, zoning, lot size, and price/cap rate when the listing is priced). Built for reliability: hits Crexi's listing feed directly and is health-monitored daily. Output is structured for CRE research, lead lists, and LLM/RAG pipelines. ### ⚡ Quick start Paste this into the Actor's **Input** (JSON view) and hit **Start**: ```json { "maxResults": 100, "includeDetails": true } ```` Each result row looks like: ```json { "id": 2630857, "name": "Jamestowne Plaza", "description": "42-Unit Multi-family | West Linn, OR", "propertyTypes": ["Multifamily"], "brokerage": "Norris & Stevens", "squareFootage": 28160, "status": "Active", "address": "1700 Blankenship Rd, West Linn, OR 97068", "city": "West Linn", "state": "OR", "zip": "97068", "latitude": 45.3523, "longitude": -122.6597, "details": { "Property Type": "Multifamily", "Units": "42", "Year Built": "1979", "Zoning": "R2.1", "Lot Size (acres)": "2.48" }, "url": "https://www.crexi.com/properties/2630857/oregon-jamestowne-plaza" } ``` Or run it from the API: ``` POST https://api.apify.com/v2/acts/jamhimself~crexi-commercial-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN ``` ### Input options | Field | Type | Description | |---|---|---| | `maxResults` | integer | Max listings to return, newest first (default 100) | | `includeDetails` | boolean | Fetch each listing's detail attributes (units, year built, zoning, price/cap rate) — default on | | `filters` | object | Optional Crexi native search filters passed through to the API (property types, geo) | ### Output fields Every row includes: `id`, `name`, `description`, `propertyTypes`, `brokerage`, `squareFootage`, `status`, `address`/`city`/`state`/`zip`, `latitude`/`longitude`, `isInOpportunityZone`, `activatedOn`/`updatedOn`, `url`. With `includeDetails`: a `details` map (units, year built, zoning, lot size, price/cap rate when priced), `marketingDescription`, `investmentHighlights`, `subtypes`. ### Use cases - **CRE deal sourcing** — pull active commercial listings with size, type, and location for any market. - **Broker & market research** — track brokerages, property types, and new listings over time. - **AI agents & RAG** — feed structured listing rows into agent pipelines (this Actor is agent-payable). ### Related Actors Doing residential too? See [Redfin Listings Scraper](https://apify.com/jamhimself/redfin-listings-scraper). *** Found an issue or need another field or filter? **Open an issue on this Actor** — it's actively maintained and issues get fixed fast. If this Actor saves you time, a ⭐ review helps others find it. # Actor input Schema ## `maxResults` (type: `integer`): Maximum commercial listings to return (newest first). ## `includeDetails` (type: `boolean`): Fetch each listing's detail page for extra attributes (units, year built, zoning, lot size, price/cap rate when available). Slightly slower. ## `filters` (type: `object`): Optional Crexi native search filters passed through to the API, e.g. property types or geo. Leave empty for all newest active listings. ## `proxyConfiguration` (type: `object`): Proxy settings. Apify Proxy (datacenter) is sufficient — the Crexi API is public. ## Actor input object example ```json { "maxResults": 100, "includeDetails": true, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `listings` (type: `string`): One row per listing: name, address, property type, size, broker, status, detail attributes, URL. # 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 = { "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("jamhimself/crexi-commercial-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 = { "proxyConfiguration": { "useApifyProxy": True } } # Run the Actor and wait for it to finish run = client.actor("jamhimself/crexi-commercial-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 '{ "proxyConfiguration": { "useApifyProxy": true } }' | apify call jamhimself/crexi-commercial-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jamhimself/crexi-commercial-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Crexi Commercial Real Estate Scraper — No API Key", "description": "Scrape Crexi commercial real estate listings to JSON — no login, no API key. Get property name, full address, type, size, broker, status, price & detail attributes (units, year built, zoning, cap rate). Bulk, pay per listing.", "version": "1.0", "x-build-id": "bfPtyZ77hXhzZ9mkI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jamhimself~crexi-commercial-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jamhimself-crexi-commercial-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jamhimself~crexi-commercial-scraper/runs": { "post": { "operationId": "runs-sync-jamhimself-crexi-commercial-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jamhimself~crexi-commercial-scraper/run-sync": { "post": { "operationId": "run-sync-jamhimself-crexi-commercial-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxResults": { "title": "Max listings", "minimum": 1, "maximum": 20000, "type": "integer", "description": "Maximum commercial listings to return (newest first).", "default": 100 }, "includeDetails": { "title": "Include detail attributes", "type": "boolean", "description": "Fetch each listing's detail page for extra attributes (units, year built, zoning, lot size, price/cap rate when available). Slightly slower.", "default": true }, "filters": { "title": "Advanced filters (optional)", "type": "object", "description": "Optional Crexi native search filters passed through to the API, e.g. property types or geo. Leave empty for all newest active listings." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Apify Proxy (datacenter) is sufficient — the Crexi API is public.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```