# Redfin Parser Spider (`getdataforme/redfin-parser-spider`) Actor

Extract comprehensive property data from Redfin listings, including agent details, descriptions, amenities, and high-res photos. Ideal for real estate analysis, market research, and automation. Features batch URL processing, structured JSON output, and robust error handling on Apify.

- **URL**: https://apify.com/getdataforme/redfin-parser-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** E-commerce, Jobs, Real estate
- **Features:** Full permissions
- **Stats:** 7 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $9.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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 Parser Spider

### Introduction

The Redfin Parser Spider is a powerful Apify Actor designed to extract comprehensive property details from Redfin.com listings. It scrapes key information such as agent details, property descriptions, amenities, and high-resolution photos, providing structured data for real estate professionals, researchers, and businesses. This tool simplifies data collection, enabling efficient analysis of property markets without manual effort.

### Features

- **Comprehensive Data Extraction**: Captures detailed listing information including agent and broker details, property remarks, MLS status, and full address components.
- **Amenities and Photos**: Extracts structured amenities data and a complete list of property photos with URLs and tags for visual analysis.
- **High Performance**: Built for speed and reliability, handling multiple URLs efficiently with minimal downtime.
- **Structured JSON Output**: Delivers clean, machine-readable data ideal for integration with databases, APIs, or analytics tools.
- **Flexible Input**: Accepts an array of Redfin URLs, allowing batch processing of multiple listings in a single run.
- **Error-Resilient**: Includes built-in handling for common scraping challenges like dynamic content or rate limits.
- **Apify Integration**: Seamlessly runs on the Apify platform with easy monitoring, logging, and export options.

### Input Parameters

| Parameter | Type   | Required | Description | Example |
|-----------|--------|----------|-------------|---------|
| Urls     | array | Yes     | An array of valid Redfin property listing URLs to scrape. At least one URL is required. | \["https://www.redfin.com/DC/Washington/24-Crittenden-St-NE-20011/home/10077687"] |

### Example Usage

To run the Redfin Parser Spider, provide input in JSON format:

```json
{
  "Urls": [
    "https://www.redfin.com/DC/Washington/24-Crittenden-St-NE-20011/home/10077687"
  ]
}
```

Example output in JSON format:

```json
[
  {
    "listing_id": 206211574,
    "agent_name": "Charles Yates",
    "broker_name": "EXIT Realty Enterprises",
    "broker_phone": "301-593-4811",
    "remarks": "Welcome to this beautifully maintained 2-bedroom, 2 full-bath townhouse nestled in the heart of Northeast Washington, DC. With 1440 square feet of comfortable living space, this home offers the perfect blend of urban convenience and modern charm. Step inside to find gleaming hardwood floors throughout, a spacious living area, and a well-appointed kitchen featuring a gas stove – perfect for home chefs. Both bedrooms are generously sized, and the two full bathrooms provide added comfort for guests or roommates. Enjoy the convenience of off-street parking, a rare find in the city, and a prime location just a 10-minute walk to the Fort Totten Metro Station, making commuting a breeze. Located minutes from downtown DC, shopping, dining, parks, and more – everything you need is right at your doorstep. Don’t miss this incredible opportunity to own in one of DC’s rapidly growing neighborhoods! ",
    "mls_status": "Closed",
    "mls_status_definition": "This home is sold and off the market.",
    "address": {
      "street_number": "24",
      "street_name": "Crittenden",
      "street_type": "St",
      "directional_suffix": "NE",
      "city": "Washington",
      "state": "DC",
      "postal_code": "20011",
      "country": "US"
    },
    "amenities": [
      {
        "header": "Style",
        "content": "Colonial"
      },
      {
        "header": "Community",
        "content": "Brookland"
      },
      {
        "header": "County",
        "content": "District of Columbia"
      },
      {
        "header": "MLS#",
        "content": "DCDC2214670"
      },
      {
        "header": "Built",
        "content": "1939"
      },
      {
        "header": "Lot Size",
        "content": "1,900 sq ft"
      },
      {
        "header": "Property Type",
        "content": "Townhome"
      },
      {
        "header": "Heating & cooling",
        "content": "Has A/C"
      },
      {
        "header": "Laundry",
        "content": "In-unit laundry (washer and dryer)"
      }
    ],
    "photos": [
      {
        "photo_id": "2967334101",
        "photo_url": "https://ssl.cdn-redfin.com/photo/235/bigphoto/670/DCDC2214670_37_2.jpg",
        "tags": [
          "All"
        ]
      }
      // ... (truncated for brevity; full output includes all photos)
    ]
  }
]
```

### Use Cases

- **Market Research**: Analyze property trends, pricing, and amenities across neighborhoods for investment decisions.
- **Competitive Intelligence**: Monitor competitor listings and agent performance in specific markets.
- **Price Monitoring**: Track historical and current property values for appraisal or resale purposes.
- **Content Aggregation**: Build databases of real estate content for websites, apps, or marketing campaigns.
- **Academic Research**: Collect data for studies on urban development, housing markets, or socioeconomic factors.
- **Business Automation**: Automate lead generation by extracting contact details from listings for outreach.

### Installation and Usage

1. Search for "Redfin Parser Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)

### Output Format

The Actor outputs a JSON array of objects, each representing a scraped property listing. Key fields include:

- `listing_id`: Unique identifier for the listing.
- `agent_name`, `broker_name`, `broker_phone`: Contact details for the listing agent.
- `remarks`: Descriptive text about the property.
- `mls_status` and `mls_status_definition`: Current market status.
- `address`: Structured address components (street number, name, city, state, etc.).
- `amenities`: Array of key-value pairs for property features like style, built year, and lot size.
- `photos`: Array of photo objects with ID, URL, and tags (e.g., "Exterior", "Interior").

Data is structured for easy parsing and integration.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

***

# Actor input Schema

## `Urls` (type: `array`):

The urls for the spider.

## Actor input object example

```json
{
  "Urls": [
    "https://www.redfin.com/DC/Washington/24-Crittenden-St-NE-20011/home/10077687"
  ]
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/redfin-parser-spider").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/redfin-parser-spider").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 '{}' |
apify call getdataforme/redfin-parser-spider --silent --output-dataset

```

## MCP server setup

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

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/1IY3DPeCt6GTSbhjS/builds/6Xn1r3AV4jhK5Lvkf/openapi.json