# 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
- **Features:** Full permissions
- **Stats:** 44 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# 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