# REMAX Scraper - Low-cost💲🔥🏡🤖 (`delectable_incubator/remax-scraper-low-cost`) Actor

🔵🏡 Extract RE/MAX property listings from search URLs with ease. Collect listing IDs, prices, full addresses, property types, bedrooms, bathrooms, images, agent details, URLs & more. Ideal for real estate market research, property investment, rental tracking, price monitoring & housing analytics 🚀

- **URL**: https://apify.com/delectable\_incubator/remax-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Real estate, Travel, Automation
- **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

<p align="center">
  <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="RE/MAX Real Estate Scraper" width="100%">
</p>

---

## 🏡🔎 RE/MAX Real Estate Scraper | Bulk Property Listings Scraper | Apify Actor

### 🚀 Extract RE/MAX Property Listings in Seconds (No Code)

The **RE/MAX Real Estate Scraper** is a powerful, scalable, and SEO-optimized Apify Actor designed to extract property listings from RE/MAX search results in bulk. Collect structured real estate data for market research, investment analysis, lead generation, AI datasets, property monitoring, and real estate intelligence—all without writing a single line of code.

---

### 🔥 Why Choose This RE/MAX Scraper?

✔ Bulk RE/MAX search URL scraping

✔ Supports multiple URLs in one run

✔ Fast & scalable cloud scraping

✔ Extract structured property listing data

✔ JSON, CSV, Excel, XML & HTML exports

✔ Perfect for investors, agencies & researchers

✔ No coding required

---

### 🎯 What This Scraper Does

Simply provide one or multiple **RE/MAX search URLs**, and the scraper automatically extracts property listings from each search page independently.

#### 📌 Core Features

✅ Bulk URL scraping (SEO BOOST 🚀)

✅ Supports homes for sale & homes for rent

✅ Search by city, state or neighborhood

✅ Automatic pagination

✅ Respect maxItemsPerUrl limits

✅ Extract listing price

✅ Extract full property address

✅ Extract bedrooms & bathrooms

✅ Extract property size

✅ Extract listing status

✅ Extract MLS number

✅ Extract listing agent

✅ Extract listing image

✅ Extract listing URL

✅ Structured export-ready dataset

---

### ⚡ Input Configuration

#### 🔥 BULK URL MODE (SEO BOOST 🚀)

````

{
"urls": \[
"https://www.remax.com/homes-for-sale/ny/new-york/city/3651000",
"https://www.remax.com/homes-for-rent/TX",
"https://www.remax.com/homes-for-sale/fl/miami",
"https://www.remax.com/homes-for-sale/ca/los-angeles"
],
"maxItemsPerUrl": 200
}

```

---

### 📊 Extracted Property Data

| Field        | Description               |
| ------------ | ------------------------- |
| listingId    | Unique property ID        |
| price        | Property price            |
| addressLine1 | Street address            |
| addressLine2 | City / State              |
| fullAddress  | Complete property address |
| beds         | Bedrooms                  |
| baths        | Bathrooms                 |
| size         | Property size             |
| banner       | Listing status            |
| listingBy    | Listing agent or office   |
| mlsNumber    | MLS number                |
| imageUrl     | Main property image       |
| listingUrl   | Property page URL         |
| sourceUrl    | Original search URL       |

---

### 💡 Popular Use Cases

🏡 Real estate market research

📈 Property price monitoring

🏘 Housing inventory tracking

📊 Investment opportunity analysis

🤖 AI & machine learning datasets

🏢 Real estate lead generation

🌍 Multi-city property comparison

⚡ Automated property data collection

---

### 🚀 Key Features

⚡ Bulk URL scraping

🏘 Supports sale & rental listings

📌 Smart pagination

🧠 Structured property metadata

📊 High-speed extraction

🔁 Reliable cloud execution

💾 Export-ready datasets

☁️ Built for Apify

---

### 📤 Export Formats

✔ JSON

✔ CSV

✔ Excel (XLSX)

✔ XML

✔ HTML

---

### 📦 Example Output

```

{
"listingId": "123456789",
"price": "$825,000",
"addressLine1": "123 Main St",
"addressLine2": "New York, NY",
"fullAddress": "123 Main St, New York, NY 10001",
"beds": "3",
"baths": "2",
"size": "1850 sqft",
"banner": "For Sale",
"listingBy": "John Doe",
"mlsNumber": "MLS123456",
"imageUrl": "https://example.com/image.jpg",
"listingUrl": "https://www.remax.com/property/123456789",
"sourceUrl": "https://www.remax.com/homes-for-sale/ny/new-york/city/3651000"
}

````

---

### 🔥 Why This is One of the Best RE/MAX Scrapers on Apify

✔ Optimized for Apify Marketplace SEO

✔ Bulk URL support

✔ High-speed property extraction

✔ Clean structured datasets

✔ Enterprise-ready architecture

✔ Perfect for real estate intelligence

✔ Built for automation workflows

---

### 💸 Pricing

This scraper runs on a pay-per-result pricing model.

You only pay for successfully extracted records.

💳 Price: **$2.29 / 1,000 results**

---

### ❓ FAQ

#### Can I scrape multiple RE/MAX URLs?

Yes. Simply provide as many search URLs as you want.

#### Can I scrape both homes for sale and homes for rent?

Yes.

#### Does it support pagination?

Yes. All pages are handled automatically.

#### Can I limit the number of listings?

Yes. Use **maxItemsPerUrl**.

#### Can I export to Excel?

Yes.

Supported formats include JSON, CSV, XLSX, XML and HTML.

#### Is coding required?

No.

This is a 100% no-code Apify Actor.

---

### ⚠️ Disclaimer

This scraper is an independent automation tool and is **not affiliated with, endorsed by, or sponsored by RE/MAX**.

---

### 🔗 Related Actors

We are building the complete **PrimeScrape Real Estate Intelligence Suite.**

👉 More real estate scrapers coming soon 🚀

---

### 🌍 PrimeScrape Ecosystem

Built for large-scale data extraction, automation, AI datasets and market intelligence.

🏡 Real estate data

🏢 Business intelligence

💼 Jobs

🛒 E-commerce

📱 Social media

📈 Market analytics

🤖 AI training datasets

⚙️ Automation pipelines

---

### 📬 Support

⭐⭐⭐⭐⭐ Leave a review if you enjoy this scraper.

📩 Need custom scraping solutions or enterprise integrations?

Contact **PrimeScrape** through the Apify Marketplace.

# Actor input Schema

## `urls` (type: `array`):

One or more remax.com listing search URLs. Each URL is scraped independently with automatic pagination. Examples: 'https://www.remax.com/homes-for-sale/ny/new-york/city/3651000', 'https://www.remax.com/homes-for-rent/TX', 'https://www.remax.com/homes-for-sale/ny/new-york/east-new-york/neighborhood/7589'.
## `maxItemsPerUrl` (type: `integer`):

Maximum number of property listings to collect per URL. Set to 0 for no limit.

## Actor input object example

```json
{
  "urls": [
    "https://www.remax.com/homes-for-sale/ny/new-york/city/3651000"
  ],
  "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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "https://www.remax.com/homes-for-sale/ny/new-york/city/3651000"
    ],
    "maxItemsPerUrl": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/remax-scraper-low-cost").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "urls": ["https://www.remax.com/homes-for-sale/ny/new-york/city/3651000"],
    "maxItemsPerUrl": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/remax-scraper-low-cost").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 '{
  "urls": [
    "https://www.remax.com/homes-for-sale/ny/new-york/city/3651000"
  ],
  "maxItemsPerUrl": 100
}' |
apify call delectable_incubator/remax-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-scraper-low-cost",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "REMAX Scraper - Low-cost💲🔥🏡🤖",
        "description": "🔵🏡 Extract RE/MAX property listings from search URLs with ease. Collect listing IDs, prices, full addresses, property types, bedrooms, bathrooms, images, agent details, URLs & more. Ideal for real estate market research, property investment, rental tracking, price monitoring & housing analytics 🚀",
        "version": "0.0",
        "x-build-id": "PwbInW0e9BqZca28R"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~remax-scraper-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-remax-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~remax-scraper-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-remax-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~remax-scraper-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-remax-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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 listing search URLs. Each URL is scraped independently with automatic pagination. Examples: 'https://www.remax.com/homes-for-sale/ny/new-york/city/3651000', 'https://www.remax.com/homes-for-rent/TX', 'https://www.remax.com/homes-for-sale/ny/new-york/east-new-york/neighborhood/7589'.",
                        "items": {
                            "type": "string"
                        },
                        "default": [
                            "https://www.remax.com/homes-for-sale/ny/new-york/city/3651000",
                            "https://www.remax.com/homes-for-rent/TX"
                        ]
                    },
                    "maxItemsPerUrl": {
                        "title": "Max Items per URL",
                        "type": "integer",
                        "description": "Maximum number of property listings 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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
