# REMAX Agents Scraper - Low-costπŸ’²πŸ”₯πŸ”ŽπŸ‘ (`delectable_incubator/remax-agents-scraper-low-cost`) Actor πŸ‘¨β€πŸ’ΌπŸ‘ Provide one or multiple RE/MAX agent search URLs and extract agent profiles including names, brokerages, locations, languages, specialties, contact details, ratings, profile photos, and profile URLs. Perfect for lead generation, recruiting, and real estate agent intelligence. πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/remax-agents-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Real estate, Lead generation, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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

RE/MAX Real Estate Agents Scraper

--- ## πŸ‘πŸ‘¨β€πŸ’Ό RE/MAX Real Estate Agents Scraper | Bulk Real Estate Agent Scraper | Lead Generation | Apify Actor ### πŸš€ Extract RE/MAX Agent Data in Seconds (No Code) The **RE/MAX Real Estate Agents Scraper (Apify Actor)** is a powerful, scalable and **SEO-optimized real estate scraping tool** built to **scrape RE/MAX real estate agents in bulk**, extract structured agent profiles, and export high-quality datasets for **lead generation, brokerage intelligence, CRM enrichment, market research, AI datasets, real estate analytics and automation**. Perfect for brokerages, marketing agencies, investors, recruiters, startups, data analysts and real estate professionals looking to collect accurate RE/MAX agent information at scale. --- ## πŸ”₯ Why Choose This RE/MAX Scraper? βœ” Best RE/MAX Agent Scraper on Apify βœ” Bulk URL scraping support (SEO BOOST πŸš€) βœ” High-speed cloud extraction βœ” Automatic pagination βœ” Extract complete real estate agent profiles βœ” Clean structured JSON / CSV / Excel output βœ” Enterprise-ready scalability βœ” No coding required --- ## 🎯 What This Scraper Does Simply provide one or multiple **RE/MAX agent search URLs**, and the Actor automatically extracts agent profiles together with their complete contact information and professional details. #### πŸ“Œ Core Features βœ… Scrape RE/MAX real estate agents βœ… Bulk URL scraping (multiple searches) βœ… State & city agent discovery βœ… Language-based filtering βœ… Photo filter support βœ… Automatic pagination βœ… Smart duplicate handling βœ… Extract contact details βœ… Extract office information βœ… Extract awards & achievements βœ… Export structured datasets --- ## ⚑ Input Configuration ### πŸ”₯ BULK URL MODE (SEO BOOST πŸš€) ```` { "urls": \[ "https://www.remax.com/real-estate-agents/fl", "https://www.remax.com/real-estate-agents/ca", "https://www.remax.com/real-estate-agents/tx", "https://www.remax.com/real-estate-agents/ny", "https://www.remax.com/real-estate-agents/az", "https://www.remax.com/real-estate-agents/nj", "https://www.remax.com/real-estate-agents/wa", "https://www.remax.com/real-estate-agents/co", "https://www.remax.com/real-estate-agents/nc", "https://www.remax.com/real-estate-agents/ga" ], "maxItemsPerUrl": 200 } ``` --- ## πŸ“Š Extracted Agent Data | Field | Description | | ------------- | --------------------- | | name | Agent full name | | telephone | Phone number | | email | Email address | | streetAddress | Office address | | city | City | | state | State | | postalCode | ZIP / Postal code | | languages | Languages spoken | | areasServed | Service areas | | awards | Awards & recognitions | | imageUrl | Profile photo | | sourceUrl | Source search URL | --- ## πŸ’‘ Popular Use Cases This RE/MAX scraper is perfect for: 🏑 Real estate lead generation πŸ‘¨β€πŸ’Ό Agent prospecting πŸ“ž Real estate contact lists πŸ“ˆ Brokerage market intelligence 🌎 Multilingual agent discovery πŸ“ State & city coverage analysis πŸ€– AI real estate datasets 🏒 CRM enrichment πŸ“Š Market research πŸ’Ό Sales prospecting πŸ“‘ Real estate directories βš™οΈ Business automation --- ## πŸš€ Key Features ⚑ Bulk URL scraping ⚑ Automatic pagination ⚑ Multi-state scraping ⚑ Multi-city scraping ⚑ Smart filtering ⚑ High-speed cloud execution ⚑ Clean structured output ⚑ Export-ready datasets ⚑ Enterprise scalability ⚑ No-code solution --- ## πŸ“€ Supported Export Formats βœ” JSON βœ” CSV βœ” Excel (XLSX) βœ” XML βœ” HTML --- ## πŸ“¦ Example Output ``` { "name": "Anthony Antuono", "telephone": "(941) 585-1411", "email": "aantuono@remax.net", "streetAddress": "2815 Tamiami Trail", "city": "Punta Gorda", "state": "FL", "postalCode": "33950", "languages": \[ "English" ], "areasServed": \[ "Punta Gorda", "Port Charlotte", "Deep Creek" ], "awards": \[ "100% Club 2025", "Executive Club 2024" ], "imageUrl": "https://papiphotos.remax-im.com/agent.jpg", "sourceUrl": "https://www.remax.com/real-estate-agents/fl" } ```` --- ## πŸ”₯ Why This is the BEST RE/MAX Scraper on Apify? βœ” Optimized for Apify marketplace ranking βœ” Bulk URL support (rare feature) βœ” High-performance extraction engine βœ” Complete agent profile extraction βœ” Structured contact information βœ” Enterprise-ready architecture βœ” SEO optimized βœ” Perfect for lead generation βœ” Automation-ready βœ” Ideal for CRM enrichment --- ## πŸ’Έ Pricing This scraper runs on a pay-per-result pricing model. You only pay for successfully extracted records. πŸ’³ Price: **$2.29 / 1,000 results** --- ## ❓ FAQ #### Can I scrape multiple RE/MAX URLs? Yes β€” bulk URL mode is fully supported. #### Can I scrape several states at once? Yes β€” simply provide multiple search URLs. #### Does the scraper handle pagination? Yes β€” pagination is fully automatic. #### Can I export the data? Yes. Supported formats: * JSON * CSV * Excel * XML * HTML #### Is coding required? No. This is a 100% no-code Apify Actor. --- ## ⚠️ Disclaimer This tool is an independent data extraction solution and is **not affiliated with, endorsed by, or sponsored by RE/MAX**. --- ## πŸ”— Related Actors Discover more premium scraping solutions from the **PrimeScrape Ecosystem**. πŸš€ More enterprise-grade Actors coming soon. --- ## 🌍 PrimeScrape Ecosystem Built for: 🏑 Real Estate Intelligence πŸ‘¨β€πŸ’Ό Lead Generation πŸ“Š Market Research πŸ€– AI Training Datasets βš™οΈ Business Automation πŸ“ˆ Data Extraction at Scale 🌍 Enterprise Web Scraping --- ## πŸ“¬ Support ⭐⭐⭐⭐⭐ If you enjoy this Actor, please leave a review. Need custom scraping solutions, enterprise integrations or premium Actors? πŸ“© Contact **PrimeScrape** through the Apify platform. # Actor input Schema ## `urls` (type: `array`): One or more remax.com real estate agent search URLs. Each URL is scraped independently with automatic pagination. Examples: β€’ https://www.remax.com/real-estate-agents/ny β€’ https://www.remax.com/real-estate-agents/tx?searchQuery={"filters":{"mustHavePhoto":true}} β€’ https://www.remax.com/real-estate-agents/ca?searchQuery={"filters":{"languages":["Spanish"]}} ## `maxItemsPerUrl` (type: `integer`): Maximum number of agent profiles to collect per URL. Set to 0 for no limit. ## Actor input object example ```json { "urls": [ "https://www.remax.com/real-estate-agents/ny?searchQuery=%7B%22filters%22%3A%7B%22mustHavePhoto%22%3Atrue%7D%7D", "https://www.remax.com/real-estate-agents/tx?searchQuery=%7B%22filters%22%3A%7B%22mustHavePhoto%22%3Atrue%7D%7D" ], "maxItemsPerUrl": 100 } ```` # Actor output Schema ## `overview` (type: `string`): No description ## `detailed` (type: `string`): No description ## `by_source` (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 = { "urls": [ "https://www.remax.com/real-estate-agents/ny?searchQuery=%7B%22filters%22%3A%7B%22mustHavePhoto%22%3Atrue%7D%7D", "https://www.remax.com/real-estate-agents/tx?searchQuery=%7B%22filters%22%3A%7B%22mustHavePhoto%22%3Atrue%7D%7D" ], "maxItemsPerUrl": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/remax-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 = { "urls": [ "https://www.remax.com/real-estate-agents/ny?searchQuery=%7B%22filters%22%3A%7B%22mustHavePhoto%22%3Atrue%7D%7D", "https://www.remax.com/real-estate-agents/tx?searchQuery=%7B%22filters%22%3A%7B%22mustHavePhoto%22%3Atrue%7D%7D", ], "maxItemsPerUrl": 100, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/remax-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 '{ "urls": [ "https://www.remax.com/real-estate-agents/ny?searchQuery=%7B%22filters%22%3A%7B%22mustHavePhoto%22%3Atrue%7D%7D", "https://www.remax.com/real-estate-agents/tx?searchQuery=%7B%22filters%22%3A%7B%22mustHavePhoto%22%3Atrue%7D%7D" ], "maxItemsPerUrl": 100 }' | apify call delectable_incubator/remax-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/remax-agents-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "REMAX Agents Scraper - Low-costπŸ’²πŸ”₯πŸ”ŽπŸ‘", "description": "πŸ‘¨β€πŸ’ΌπŸ‘ Provide one or multiple RE/MAX agent search URLs and extract agent profiles including names, brokerages, locations, languages, specialties, contact details, ratings, profile photos, and profile URLs. Perfect for lead generation, recruiting, and real estate agent intelligence. πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "PjXbEKu7wLq7fhfl7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~remax-agents-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-remax-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~remax-agents-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-remax-agents-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~remax-agents-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-remax-agents-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "Search URLs", "type": "array", "description": "One or more remax.com real estate agent search URLs. Each URL is scraped independently with automatic pagination. Examples:\nβ€’ https://www.remax.com/real-estate-agents/ny\nβ€’ https://www.remax.com/real-estate-agents/tx?searchQuery={\"filters\":{\"mustHavePhoto\":true}}\nβ€’ https://www.remax.com/real-estate-agents/ca?searchQuery={\"filters\":{\"languages\":[\"Spanish\"]}}", "items": { "type": "string" }, "default": [ "https://www.remax.com/real-estate-agents/ny?searchQuery=%7B%22filters%22%3A%7B%22mustHavePhoto%22%3Atrue%7D%7D", "https://www.remax.com/real-estate-agents/tx?searchQuery=%7B%22filters%22%3A%7B%22mustHavePhoto%22%3Atrue%7D%7D" ] }, "maxItemsPerUrl": { "title": "Max Items per URL", "type": "integer", "description": "Maximum number of agent profiles to collect per URL. Set to 0 for no limit.", "default": 100 } } }, "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 } } } } } } } } } } ```