# Redfin Real Estate Scraper (Price & SqFt) (`datamandi/redfin-real-estate-scraper`) Actor

Pulls clean home listings directly from any Redfin search URL with pre-calculated price per sqft. Built for fast market analysis without messy data cleanup.

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

## Pricing

from $1.00 / 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?

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

## Redfin Real Estate Market Analytics Scraper

Extract structured real estate property listings directly from any Redfin search URL. Designed specifically for real estate investors, market analysts, and data science teams seeking automated property metrics.

### Key Features

- **Calculated Unit Price:** Automatically computes `price_per_sqft` for instant valuation and market comparisons.
- **Anti-Bot Bypass:** Uses internal TLS fingerprint impersonation to deliver reliable, structured JSON data without browser overhead.
- **Flexible Search Targets:** Works with any active Redfin city, zip code, or county search URL.
- **Export Ready:** Download results immediately in CSV, JSON, Excel, or query via Apify REST API.

### Input Parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `startUrl` | String | `https://www.redfin.com/city/30818/TX/Austin` | Any active Redfin search results URL |
| `maxItems` | Integer | `50` | Maximum number of property listings to collect |

### Output Fields

Each scraped record returns the following fields:

- `listing_id`: Sequential listing index
- `address`: Full property street address, city, state, and zip code
- `price_usd`: Listing price formatted as an integer
- `stats`: Bedroom, bathroom, and square footage summary
- `price_per_sqft`: Calculated unit price metric (`price_usd / sqft`)
- `source_url`: Direct URL to the active property listing

### Support & Feature Requests

Maintained by **datamandi**. Submit feedback or custom scraping requests directly via the Actor console.

# Actor input Schema

## `startUrl` (type: `string`):

URL of the Redfin property search results page you want to scrape.

## `maxItems` (type: `integer`):

Maximum number of property listings to collect.

## Actor input object example

```json
{
  "startUrl": "https://www.redfin.com/city/30818/TX/Austin",
  "maxItems": 50
}
```

# Actor output Schema

## `listing_id` (type: `string`):

No description

## `address` (type: `string`):

No description

## `price_usd` (type: `string`):

No description

## `beds` (type: `string`):

No description

## `baths` (type: `string`):

No description

## `sqft` (type: `string`):

No description

## `price_per_sqft` (type: `string`):

No description

## `property_type` (type: `string`):

No description

## `year_built` (type: `string`):

No description

## `source_url` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("datamandi/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 = {}

# Run the Actor and wait for it to finish
run = client.actor("datamandi/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 '{}' |
apify call datamandi/redfin-real-estate-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datamandi/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/Wmzzz9LNULk98vtFO/builds/JGK5cAbRKLvGJvXV2/openapi.json