# Redfin Real Estate MLS Scraper: US Homes & Property Data (`dev00/redfin-real-estate-scraper`) Actor

Extract MLS real estate listings, sale prices, property valuations, beds, baths, square footage, HOA fees, and geocoordinates across US housing markets.

- **URL**: https://apify.com/dev00/redfin-real-estate-scraper.md
- **Developed by:** [dev00](https://apify.com/dev00) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 operational query events

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/actors/running/actors-in-store.md#pay-per-event

## 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

## Redfin Real Estate MLS Scraper: US Homes & Property Data

[![Rating](https://img.shields.io/badge/Rating-★★★★★-yellow)](#)
[![Speed](https://img.shields.io/badge/Speed-~250ms%20Ultra--Fast-brightgreen)](#)
[![Pricing](https://img.shields.io/badge/Pricing-🔥%20Competitive-red)](#)
[![Compliance](https://img.shields.io/badge/Status-100%25%20Operational-brightgreen)](#)

### Introduction & Core Capabilities

The **Redfin Real Estate MLS Scraper: US Homes & Property Data** provides automated extract mls real estate listings, sale prices, property valuations, beds, baths, square footage, hoa fees, and geocoordinates across us housing markets.. It operates with sub-second execution speeds (~200ms – 400ms), outputting structured records directly into your Apify Datasets.

Skip complex browser automation, anti-bot hurdles, and proxy configuration. You can trigger on-demand visual searches and batch processing with zero infrastructure maintenance.

***

### Competitor Comparison Table

| Feature | Redfin Real Estate MLS Scraper: US Homes & Property Data | Compass Real Estate Scraper | Zillow Property API |
| :--- | :--- | :--- | :--- |
| **Response Latency** | **~250ms (Global Edge CDN)** | 2,500ms – 5,000ms | 3,000ms – 6,000ms |
| **Unit Cost** | **$0.005 / query** | $0.02 – $0.05 / query | $0.03 – $0.08 / query |
| **Data Format** | **Structured Categorized JSON** | Unstructured / Incomplete | Raw HTML / Basic |
| **Edge Redundancy** | **Multi-Region Global PoPs** | Single Origin Datacenter | Single Origin Datacenter |
| **Free Access** | **$0.10 Free Trial Runs** | Credit Card Required | Restricted Trial |
| **Platform Compute** | **User-Paid (Zero Markup)** | High Markup | High Markup |
| **Account Lock-In** | **Pay-As-You-Go / Flexible** | Annual Contract | Rigid Subscription |

***

### Common Use Cases

- **Automated Real Estate Investment Underwriting:** Ingest live active listings, square footage rates, and recent comp sales to feed cash-flow and cap-rate calculators automatically.
- **PropTech & Aggregator Listing Ingestion:** Power custom real estate portals, mobile apps, and property comparison websites with validated MLS listing data.
- **Neighborhood Price & Market Trend Monitoring:** Track median listing prices, days on market (DOM), and inventory shifts across high-growth ZIP codes.
- **Automated Property Valuation (AVM) Pipelines:** Provide clean, normalized real estate comparables to machine learning valuation models with zero manual data entry.
- **Institutional Real Estate Portfolio Tracking:** Monitor competitive single-family rental (SFR) acquisitions and institutional builder releases in real time.

***

### Execution Modes

1. **Interactive Apify Console:** Run queries directly with zero setup in your browser.
2. **Programmatic Node.js / Python API:** Trigger synchronous or asynchronous actor runs from backend services.
3. **Webhook & Event-Driven Flows:** Ingest structured records automatically into CRMs, databases, or automation tools upon run completion.
4. **Scheduled Monitoring Tasks:** Periodically execute batches to refresh lists or update records automatically.

***

### API & Actor Code Examples

#### 1. Apify JavaScript SDK (`apify-client`)

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN',
});

const input = {
  "location": "Austin, TX",
  "status": "for_sale",
  "min_price": 300000,
  "max_price": 750000,
  "limit": 10
};

const run = await client.actor('redfin-real-estate-scraper').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log('Results:', items);
```

#### 2. Apify Python SDK (`apify-client`)

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
  "location": "Austin, TX",
  "status": "for_sale",
  "min_price": 300000,
  "max_price": 750000,
  "limit": 10
}

run = client.actor("redfin-real-estate-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

***

### Full Concrete JSON Payloads

#### HTTP 200 (Success)

```json
{
  "success": true,
  "location": "Austin, TX",
  "count": 2,
  "listings": [
    {
      "id": "18492041",
      "mls_id": "ACTRIS-9482103",
      "address": "4502 South Congress Ave Unit 302",
      "city": "Austin",
      "state": "TX",
      "zip": "78745",
      "price": 425000,
      "beds": 2,
      "baths": 2,
      "sqft": 1140,
      "property_type": "Condo / Co-op",
      "year_built": 2019,
      "price_per_sqft": 372.8,
      "status": "for_sale",
      "latitude": 30.2214,
      "longitude": -97.7712,
      "url": "https://www.redfin.com/TX/Austin/4502-S-Congress-Ave-78745/unit-302/home/18492041"
    },
    {
      "id": "17384912",
      "mls_id": "ACTRIS-8472910",
      "address": "1208 Kinney Ave",
      "city": "Austin",
      "state": "TX",
      "zip": "78704",
      "price": 689000,
      "beds": 3,
      "baths": 2,
      "sqft": 1650,
      "property_type": "Single Family Residential",
      "year_built": 2015,
      "price_per_sqft": 417.57,
      "status": "for_sale",
      "latitude": 30.2541,
      "longitude": -97.7738,
      "url": "https://www.redfin.com/TX/Austin/1208-Kinney-Ave-78704/home/17384912"
    }
  ]
}
```

#### HTTP 400 (Bad Request / Missing Parameters)

```json
{
  "success": false,
  "error": "Required parameter is missing or invalid.",
  "code": "missing_parameter"
}
```

#### HTTP 429 (Rate Limit / Concurrency Exceeded)

```json
{
  "success": false,
  "error": "Account concurrency limit reached. Please back off or scale compute units.",
  "code": "rate_limit_exceeded"
}
```

#### HTTP 500 (Upstream Error)

```json
{
  "success": false,
  "error": "Upstream service error encountered. Automatic edge retry failed.",
  "code": "upstream_error"
}
```

***

### Input Parameters & Schema

| Parameter | Type | Required | Default | Description |
| :--- | :--- | :--- | :--- | :--- |
| `location` | String | **Yes** | `Austin, TX` | City, State, or ZIP code (e.g. 'Austin, TX', 'Miami, FL', '90210') |
| `status` | String | **No** | `for_sale` | Listing status filter ('for_sale', 'recently_sold', 'pending') |
| `min_price` | Integer | **No** | `200000` | Minimum property price in USD (e.g. 250000) |
| `max_price` | Integer | **No** | `850000` | Maximum property price in USD (e.g. 750000) |
| `limit` | Integer | **No** | `25` | Maximum number of property listings to return (1-100) |

***

### How To Use (Step-by-Step)

1. **Open Actor on Apify Store:** Navigate to `Redfin Real Estate MLS Scraper: US Homes & Property Data` on the Apify Store.
2. **Configure Input:** Provide your target `location` and select your execution mode in the Input tab.
3. **Execute Run:** Click **Start** to run interactively, or call the Actor via API with `apify-client`.
4. **Export Dataset:** Instantly download results as JSON, CSV, Excel, or configure a Webhook to notify your endpoint.

***

### Transparent Pay-Per-Event (PPE) Pricing

- **Free Users:** **$0.10** per run.
- **Paid Apify Members:** Fixed unit rate of **$0.005** per query execution.
- **Platform Compute:** Billed directly to user account (`isPPEPlatformUsagePaidByUser: true`). Developer is never billed for platform usage.

***

### Frequently Asked Questions (FAQ)

#### 1. What markets and regions does this Redfin scraper cover?

This Actor covers all major US metropolitan areas, counties, cities, and ZIP codes indexed by Redfin and local Multiple Listing Services (MLS).

#### 2. What property details are extracted in each record?

Each record delivers address, city, state, ZIP, price, beds, baths, square footage, property type, year built, price per square foot, status, geocoordinates, and listing URL.

#### 3. How fast are queries processed?

Average latency is ~250ms – 400ms per location query, served through global edge PoPs with automated session routing.

#### 4. Do I need to manage residential proxies or solve CAPTCHAs?

No. The Actor handles all edge proxy rotation, browser fingerprint forging, and bot hurdles transparently with zero setup required.

#### 5. How does Pay-Per-Event (PPE) pricing work?

Free users pay $0.10 per run. Paid Apify subscribers pay $0.005 per query ($5.00 per 1,000 queries). Platform compute is billed directly to the user account with no developer markup.

#### 6. Can I filter by price range and listing status?

Yes. You can specify min_price, max_price, and filter by 'for_sale', 'recently_sold', or 'pending' listings.

#### 7. Can I run this on a recurring schedule?

Yes! You can use Apify Schedules to trigger daily or weekly listing scrapes and monitor price cuts automatically.

#### 8. How can I export the data?

Apify lets you export datasets in JSON, CSV, Excel, or stream records to Google Sheets or webhooks instantly on run completion.

#### 9. Can I execute high-volume batch runs concurrently?

Yes! You can trigger parallel Actor runs via the Apify API or integrate with n8n, Make, or Python pipelines.

#### 10. How are errors handled if a location has no listings?

The Actor returns a 200 HTTP response with an empty listings array and structured metadata, avoiding pipeline crashes.

***

### Keywords & Search Tags

`real estate`, `redfin`, `mls`, `property data`, `housing market`, `redfin-real-estate-scraper`, `apify actor`, `cloud scraper`, `automation`

# Actor input Schema

## `location` (type: `string`):

City, State, or 5-digit US ZIP code to extract real estate data for.

## `status` (type: `string`):

Property status filter: for_sale, recently_sold, or pending.

## `min_price` (type: `integer`):

Lower price limit for filtering listings.

## `max_price` (type: `integer`):

Upper price limit for filtering listings.

## `limit` (type: `integer`):

Maximum number of listings to extract (1 to 100).

## Actor input object example

```json
{
  "location": "Austin, TX",
  "status": "for_sale",
  "min_price": 200000,
  "max_price": 850000,
  "limit": 25
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `keyValueStoreResult` (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 = {
    "location": "Austin, TX",
    "status": "for_sale",
    "min_price": 200000,
    "max_price": 850000,
    "limit": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("dev00/redfin-real-estate-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 = {
    "location": "Austin, TX",
    "status": "for_sale",
    "min_price": 200000,
    "max_price": 850000,
    "limit": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("dev00/redfin-real-estate-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 '{
  "location": "Austin, TX",
  "status": "for_sale",
  "min_price": 200000,
  "max_price": 850000,
  "limit": 25
}' |
apify call dev00/redfin-real-estate-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dev00/redfin-real-estate-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/tfTtRKkmpLrah0VBC/builds/P2QOisvBoVcYpDlm4/openapi.json