# Crexi Agents Scraper - Low-costπŸ’²πŸ”₯πŸ‘¨β€πŸ’ΌπŸ”Ž (`delectable_incubator/crexi-agents-scraper-low-cost`) Actor Scrape Crexi agent listings πŸ’πŸ”Ž with a powerful commercial real estate scraper. Extract agent names, brokerages, licenses, locations, and active or closed assets from city or brokerage pages. Ideal for CRM enrichment, lead generation, market research, and commercial real estate analysis πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/crexi-agents-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Lead generation, Real estate, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start 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

Crexi Agents Scraper

--- ## Crexi Agents Scraper πŸ’πŸŒπŸ“Š The Crexi Agents Scraper is a powerful and scalable Apify Actor designed to extract structured commercial real estate agent listings directly from Crexi broker search result pages. It enables broker directory creation, commercial real estate market research, brokerage analysis, lead generation, agent monitoring, and structured dataset generation from one of the largest commercial real estate marketplaces in the United States. --- ### 🎯 What This Scraper Does Simply provide one or more Crexi agent search URLs and the scraper handles everything automatically. βœ… Extracts structured agent profiles from Crexi βœ… Supports bulk URL scraping βœ… Automatically processes all available agent listings βœ… Applies maxItemsPerUrl limits βœ… Collects brokerage information βœ… Extracts license details βœ… Captures active and closed asset statistics βœ… Generates clean and structured datasets βœ… Ready for CRM, analytics, and lead generation workflows βœ… Export-ready output format --- ### πŸ“Š Data Extracted πŸ‘¨β€πŸ’Ό Agent Information | Field | Description | | ---------------------- | ------------------------------- | | πŸ”‘ `id` | Unique Crexi agent ID | | πŸ‘€ `firstName` | Agent first name | | πŸ‘€ `lastName` | Agent last name | | πŸ™οΈ `city` | Agent city | | πŸ“ `stateCode` | State abbreviation | | πŸ“ `about` | Agent biography or description | | 🏒 `brokerageName` | Brokerage company name | | 🌐 `brokerageWebsite` | Brokerage website | | πŸ–ΌοΈ `brokerageLogoUrl` | Brokerage logo URL | | πŸ“Έ `thumbnailUrl` | Agent profile image | | πŸ†” `publicProfileId` | Public Crexi profile identifier | πŸ“ˆ Agent Activity Metrics | Field | Description | | -------------------------- | ---------------------------------- | | πŸ—οΈ `numberOfActiveAssets` | Active assets managed by the agent | | βœ… `numberOfClosedAssets` | Closed assets managed by the agent | πŸ“œ License Information | Field | Description | | --------------------- | ------------------------- | | πŸ“„ `licenses` | Available license numbers | | πŸ”’ `licenseNumber` | Primary license number | | 🏷️ `licenseTypeId` | License type | | πŸ“ `licenseStateCode` | License state | Additional Fields | Field | Description | | -------------------- | -------------------- | | βš–οΈ `isAuctioneer` | Auctioneer status | | πŸ•’ `scrapeTimestamp` | Extraction timestamp | --- ### πŸ›  How to Use #### 1️⃣ Configure Input Provide one or multiple Crexi broker search URLs: ```` { "searchUrls": \[ "https://www.crexi.com/resources/find-a-broker/New\_York%2C\_NY", "https://www.crexi.com/resources/find-a-broker/Los\_Angeles%2C\_CA" ], "maxItemsPerUrl": 50 } ``` #### 2️⃣ Run the Actor β€’ Loads Crexi broker search results β€’ Processes all available agent listings β€’ Extracts structured profile information β€’ Collects brokerage and license details β€’ Applies maxItemsPerUrl limits β€’ Stops automatically when limits are reached #### 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "searchUrls": \[ "https://www.crexi.com/resources/find-a-broker/New\_York%2C\_NY", "https://www.crexi.com/resources/find-a-broker/Los\_Angeles%2C\_CA" ], "maxItemsPerUrl": 50 } ``` #### Input Fields | Field | Type | Description | | ---------------- | ------- | ------------------------------------------- | | `searchUrls` | array | List of Crexi broker search URLs | | `maxItemsPerUrl` | integer | Maximum number of agents to extract per URL | --- ### πŸ“€ Output Example ``` { "id": 145087, "firstName": "Chaya", "lastName": "Milworn", "city": "New York", "stateCode": "NY", "about": "N/A", "numberOfActiveAssets": 0, "numberOfClosedAssets": 20, "brokerageName": "Northgate Real Estate Group", "brokerageLogoUrl": "https://images.crexi.com/user-accounts/example.jpg", "brokerageWebsite": "https://northpointreg.com/", "licenses": \[ "10401268555" ], "licenseNumber": "10401268555", "licenseTypeId": "Real Estate Sales Person", "licenseStateCode": "NY", "isAuctioneer": false, "thumbnailUrl": "https://images.crexi.com/users/example.jpg", "publicProfileId": "chayam", "scrapeTimestamp": "2026-05-23T12:00:00.000Z" } ```` --- ### πŸ“Š Output Explanation | Use Case | Description | | ------------------------------- | ------------------------------------------------ | | πŸ‘¨β€πŸ’Ό Broker Directory Building | Create commercial real estate broker databases | | πŸ“Š Market Research | Analyze broker activity by city and state | | 🏒 Brokerage Intelligence | Track brokerage presence and performance | | 🎯 Lead Generation | Build CRE prospecting and outreach datasets | | πŸ€– CRM Integration | Feed agent data into sales and marketing systems | --- ### 🌍 Why Use This Scraper? 🏒 Extract commercial real estate broker data at scale πŸ“Š Analyze agent activity and transaction history πŸ”Ž Monitor brokerage presence across markets 🌎 Collect city and state-level broker information ⚑ Fast and automated extraction πŸ€– Automation-ready output πŸ“¦ Bulk URL scraping support πŸš€ Scalable for both small and large datasets --- ### ❓ FAQ #### How does this scraper work? The scraper loads Crexi broker search result pages and extracts structured agent profile information, brokerage details, licensing data, and activity metrics. #### Can I scrape multiple locations in one run? Yes. You can provide multiple broker search URLs inside the `searchUrls` array. #### Does the scraper collect license information? Yes. When available, license numbers, types, and states are extracted. #### Can I monitor broker activity over time? Yes. You can schedule recurring Apify runs to monitor changes and new agents. #### Is the data collected live? Yes. Data is extracted directly from Crexi during every run. #### What export formats are supported? JSON, CSV, Excel, XML, and HTML. #### Can I use the extracted data commercially? Yes. The data can be used for analytics, CRM enrichment, research, lead generation, and commercial applications. #### What happens if the scraper fails? The Actor includes retry mechanisms and automated error handling to improve reliability. #### How long does a run take? Most extractions complete within minutes depending on the number of URLs and requested results. --- ### πŸš€ How to Use 1️⃣ Sign up β€” Create a free Apify account 2️⃣ Find the tool β€” Search for "Crexi Agents Scraper" in the Apify Store 3️⃣ Configure URLs β€” Add one or multiple Crexi broker search URLs 4️⃣ Run it β€” Start the Actor and wait for extraction 5️⃣ Export data β€” Download results in JSON, CSV, Excel, XML, or HTML --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by Crexi. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $2.99 / 1000 results --- ### Related Actors If you're interested in other Real Estate, Property, Marketplace, Lead Generation, Jobs, or Analytics scraping solutions, explore more tools: (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation. Contact us for custom scraping solutions or enterprise requests via Apify. # Actor input Schema ## `searchUrls` (type: `array`): List of Crexi broker search page URLs to scrape agents from. Format: β€’ https://www.crexi.com/resources/find-a-broker/LOCATION Examples: β€’ https://www.crexi.com/resources/find-a-broker/New_York%2C_NY β€’ https://www.crexi.com/resources/find-a-broker/Los_Angeles%2C_CA β€’ https://www.crexi.com/resources/find-a-broker/Chicago%2C_IL The scraper will paginate through results for each URL until the max items limit is reached or no more pages are available. ## `maxItemsPerUrl` (type: `integer`): Maximum number of agents to collect for EACH search URL. ## Actor input object example ```json { "searchUrls": [ "https://www.crexi.com/resources/find-a-broker/New_York%2C_NY", "https://www.crexi.com/resources/find-a-broker/Los_Angeles%2C_CA" ], "maxItemsPerUrl": 50 } ```` # Actor output Schema ## `overview` (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 = { "searchUrls": [ "https://www.crexi.com/resources/find-a-broker/New_York%2C_NY", "https://www.crexi.com/resources/find-a-broker/Los_Angeles%2C_CA" ], "maxItemsPerUrl": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/crexi-agents-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "searchUrls": [ "https://www.crexi.com/resources/find-a-broker/New_York%2C_NY", "https://www.crexi.com/resources/find-a-broker/Los_Angeles%2C_CA", ], "maxItemsPerUrl": 50, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/crexi-agents-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchUrls": [ "https://www.crexi.com/resources/find-a-broker/New_York%2C_NY", "https://www.crexi.com/resources/find-a-broker/Los_Angeles%2C_CA" ], "maxItemsPerUrl": 50 }' | apify call delectable_incubator/crexi-agents-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/crexi-agents-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Crexi Agents Scraper - Low-costπŸ’²πŸ”₯πŸ‘¨β€πŸ’ΌπŸ”Ž", "description": "Scrape Crexi agent listings πŸ’πŸ”Ž with a powerful commercial real estate scraper. Extract agent names, brokerages, licenses, locations, and active or closed assets from city or brokerage pages. Ideal for CRM enrichment, lead generation, market research, and commercial real estate analysis πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "ODydIRxAjwzL3Js2R" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~crexi-agents-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-crexi-agents-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~crexi-agents-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-crexi-agents-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~crexi-agents-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-crexi-agents-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchUrls", "maxItemsPerUrl" ], "properties": { "searchUrls": { "title": "Crexi Broker URLs (Bulk) πŸ”—", "type": "array", "description": "List of Crexi broker search page URLs to scrape agents from.\n\nFormat:\nβ€’ https://www.crexi.com/resources/find-a-broker/LOCATION\n\nExamples:\nβ€’ https://www.crexi.com/resources/find-a-broker/New_York%2C_NY\nβ€’ https://www.crexi.com/resources/find-a-broker/Los_Angeles%2C_CA\nβ€’ https://www.crexi.com/resources/find-a-broker/Chicago%2C_IL\n\nThe scraper will paginate through results for each URL until the max items limit is reached or no more pages are available.", "default": [ "https://www.crexi.com/resources/find-a-broker/New_York%2C_NY", "https://www.crexi.com/resources/find-a-broker/Los_Angeles%2C_CA" ], "items": { "type": "string" } }, "maxItemsPerUrl": { "title": "Maximum Agents Per URL 🎯", "type": "integer", "description": "Maximum number of agents to collect for EACH search URL.\n\n", "default": 50 } } }, "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 } } } } } } } } } } ```