# Remax Discovery Script (`hello.datawizards/remax-discovery-script`) Actor Scrape RE/MAX office and property details including names, addresses, emails, and phone numbers in structured JSON. Perfect for real estate research, lead generation, market analysis, and automation, enabling fast, accurate, and scalable extraction from RE/MAX listings. - **URL**: https://apify.com/hello.datawizards/remax-discovery-script.md - **Developed by:** [datawizards](https://apify.com/hello.datawizards) (community) - **Categories:** Automation, Real estate, Lead generation - **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 results 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.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 --- ## πŸ“¦ Remax Discovery Script Β· Apify Actor Discover **real estate office listings and properties** from RE/MAX using structured JSON, perfect for real estate analytics, lead generation, and market research. Built and maintained by [DataWizards](https://linkedin.com/in/data-wizards-aa8080342). --- ### πŸ“Œ What Is `Remax Discovery Script`? The `Remax Discovery Script` Apify Actor allows you to **extract RE/MAX office and property data** using keywords like "homes-for-sale." It provides detailed information such as office names, addresses, emails, and telephone numbersβ€”ideal for agents, researchers, and data analysts seeking accurate, structured real estate data without manual browsing. --- ### 🧠 Key Features * βœ… **Structured JSON output** for easy integration * βœ… Extracts **office/property name, address, email, telephone** * βœ… Supports **keyword-based discovery** * βœ… Proxy support via Apify Proxy (RESIDENTIAL IPs) * βœ… Fast, lightweight, and reliable for bulk data collection --- ### πŸ› οΈ Input Schema Use the actor like this: ```json { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }, "Keywords": ["homes-for-sale"] } ```` #### πŸ” Proxy Configuration - **useApifyProxy**: Set `true` for IP rotation. - **apifyProxyGroups**: Use `"RESIDENTIAL"` to reduce blocking. *** ### πŸ“€ Output Example ```json [ { "Name": "New-york, NY Real Estate & Homes For Sale | RE/MAX", "email": null, "telephone": null, "address": ", , " }, { "Name": "2301 ENRIGHT RD, FAR ROCKAWAY, NY 11691", "email": null, "telephone": null, "address": "2301 ENRIGHT RD, FAR ROCKAWAY, NY 11691" } ] ``` *** ### πŸš€ Use Cases - 🏑 **Lead Generation** – Collect office contacts for real estate outreach - πŸ“Š **Market Research** – Analyze property availability by region - 🏒 **Business Intelligence** – Track RE/MAX offices and new listings - πŸ€– **Automation** – Feed structured data into CRM or analytics dashboards *** ### βœ… Best Practices - Use residential proxies for large-scale scraping. - Validate input keywords before running the actor. - Avoid excessive requests to prevent throttling. - Schedule periodic runs to capture updated listings. *** ### 🀝 Support Need custom outputs, integrations, or additional fields? **DataWizards are ready to help!** πŸ“© Email: βœ‰οΈ **Subject**: `Remax Discovery Script – Support Request` πŸ”— LinkedIn: [linkedin.com/in/data-wizards-aa8080342](https://linkedin.com/in/data-wizards-aa8080342) *** ### 🧰 Need Something More? For **customized data extraction, simplified outputs, or integration support**, we provide tailored solutions. πŸ’‘ *DataWizards = reliable, fast, and scalable real estate data scraping.* *** ### πŸ’¬ Feedback & Bugs Found a bug or want a feature? πŸ“§ Email: `hello.datawizard@gmail.com` πŸ› οΈ **Subject**: `Bug Report – Remax Discovery Script` Or report directly on [Apify](https://apify.com). #### 🏁 Start discovering RE/MAX properties and offices with `Remax Discovery Script` β€” fast, structured, and automated. *** # Actor input Schema ## `Keywords` (type: `array`): The keywords for the spider. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "Keywords": [ "homes-for-sale" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("hello.datawizards/remax-discovery-script").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 = { "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], } } # Run the Actor and wait for it to finish run = client.actor("hello.datawizards/remax-discovery-script").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 '{ "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call hello.datawizards/remax-discovery-script --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hello.datawizards/remax-discovery-script", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Remax Discovery Script", "description": "Scrape RE/MAX office and property details including names, addresses, emails, and phone numbers in structured JSON. Perfect for real estate research, lead generation, market analysis, and automation, enabling fast, accurate, and scalable extraction from RE/MAX listings.", "version": "0.0", "x-build-id": "VcoIWKPpGv0KATfj0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hello.datawizards~remax-discovery-script/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hello.datawizards-remax-discovery-script", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hello.datawizards~remax-discovery-script/runs": { "post": { "operationId": "runs-sync-hello.datawizards-remax-discovery-script", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hello.datawizards~remax-discovery-script/run-sync": { "post": { "operationId": "run-sync-hello.datawizards-remax-discovery-script", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Keywords": { "title": "Keywords", "type": "array", "description": "The keywords for the spider.", "default": [ "homes-for-sale" ], "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```