# Remax Scraper (`getdataforme/remax-scraper`) Actor

Remax Scraper is an Apify Actor that extracts real estate listings from www.remax.com. Get property details like price, bedrooms, bathrooms, agent info, images, and more. Supports multiple URLs and proxy configuration to avoid blocks. Perfect for real estate data collection!

- **URL**: https://apify.com/getdataforme/remax-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** Lead generation, Automation, Real estate
- **Stats:** 40 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

$25.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#rental-actors

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Remax Scraper

Extract property listings and real estate details from [www.remax.com](https://www.remax.com) effortlessly using the Remax Scraper. This Apify Actor allows you to retrieve key property details such as price, address, number of bedrooms, bathrooms, and more.

**Note:** To avoid data extraction issues, ensure that you activate the Apify Proxy.

### How the Remax Scraper Works

1. Deploy the **Remax Scraper** on Apify.
2. Input the required parameters, including property URLs.
3. Run the Actor to extract property data from the specified listings.
4. Retrieve structured data in JSON format.

### Input Configuration

The Actor requires the following input parameters:

```json
{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "urls": [
    "https://www.remax.com/tx/san-antonio/home-details/7809-sandpiper-park-dr-san-antonio-tx-78249/9770276309152446781/M00000616/1844007"
  ]
}
```

### Output Example

Once the scraper successfully runs, the output will contain details such as property title, price, amenities, agent information, and more.

```json
{
  "title": "7809 SANDPIPER PARK DR, SAN ANTONIO, TX 78249 Single Family Residence For Sale | MLS# 1844007  | RE/MAX",
  "property_type": "Residential",
  "price": "$275,000",
  "bedrooms": "3",
  "bathrooms": "2",
  "square_footage": "1,476",
  "lot_size": "5998",
  "year_built": "1993",
  "street_address": "7809 SANDPIPER PARK DR",
  "city": "San Antonio",
  "state": "TX",
  "zip_code": "78249",
  "neighborhood": "Parkwood",
  "parking_spaces": "0",
  "heating": "Central",
  "cooling": "One Central",
  "property_tax": "$6,058",
  "image_urls": [
    "https://images.remax.com/rets-properties-sabor/7769880f5ea1a659c123a7b6c5152302615c0728-1-large.jpeg",
    "https://images.remax.com/rets-properties-sabor/3c1b5a0ca1ea8ccdd65f3f1010245602f055e966-2-medium.jpeg",
    "https://images.remax.com/rets-properties-sabor/0a1349fafac474b828218bb380c9703b2b08be17-3-medium.jpeg"
  ],
  "listing_agent_name": "Mary Bradley",
  "listing_agency_name": "Keller Williams Heritage",
  "listing_agency_phone": "(210) 727-6137",
  "MLS_number": "1844007",
  "description": "Welcome home to this adorable one-story gem in the desirable Parkwood subdivision!...",
  "property_status": "Active Under Contract",
  "nearby_schools": [
    "F. R. Scobee Elementary School",
    "Carl Wanke Elementary School",
    "Katherine Stinson Middle School",
    "Primrose School at Sonoma Ranch",
    "Anne Frank Inspire Academy"
  ]
}
```

### Features

- Extracts property title, price, location, and other key details.
- Supports multiple property URLs.
- Retrieves images of the listing.
- Provides listing agent and agency details.
- Scrapes property status and tax information.

#### Support

For custom requirements or bug reports, contact support@getdataforme.com or [submit an issue here](https://getdataforme.com/contact/). Make sure to include an appropriate email subject for faster assistance.

Happy Scraping!

# Actor input Schema

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

A list of URLs of the web pages you want to scrape data from.

## `proxyConfiguration` (type: `object`):

Specifies proxy servers that will be used by the scraper in order to hide its origin.

## Actor input object example

```json
{
  "urls": [
    "https://www.remax.com/tx/san-antonio/home-details/13307-concordia-oak-san-antonio-tx-78249/12244854193086801872/M00000616/1850930"
  ],
  "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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "https://www.remax.com/tx/san-antonio/home-details/13307-concordia-oak-san-antonio-tx-78249/12244854193086801872/M00000616/1850930"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

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

# Prepare the Actor input
run_input = {
    "urls": ["https://www.remax.com/tx/san-antonio/home-details/13307-concordia-oak-san-antonio-tx-78249/12244854193086801872/M00000616/1850930"],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/remax-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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/tx/san-antonio/home-details/13307-concordia-oak-san-antonio-tx-78249/12244854193086801872/M00000616/1850930"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call getdataforme/remax-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/remax-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/2y6IVQTLjZsBu2b7d/builds/M2LBbtYYCz2v3pXIC/openapi.json