# Redfin Listings Extractor (`xtracto/redfin-listings`) Actor

Extract for-sale and sold real-estate listings from Redfin by region — one listing per row, with price, beds/baths, sqft, lat/long, and URL. Public listing data.

- **URL**: https://apify.com/xtracto/redfin-listings.md
- **Developed by:** [Farhan Febrian Nauval](https://apify.com/xtracto) (community)
- **Categories:** Real estate, Lead generation
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 results

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?

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 Listings Scraper

Extract **for-sale and sold real-estate listings** from Redfin by region — one **listing per row** — with price, beds/baths, square feet, lot size, year built, days on market, $/sqft, HOA, **latitude/longitude**, and the listing URL.

Built for proptech, real-estate investors and funds, lenders and appraisers, and market analysts.

***

### Why use this actor

- **No account, no login required.**
- **One listing per row**, with clean structured fields — drops straight into a pricing or comps model.
- **For-sale or sold**, filterable by property type and price.
- **Geocoded** — every row has latitude/longitude.
- **Stable JSON output** ready for pipelines, spreadsheets, or databases.

### How it works

1. You paste one or more Redfin **region pages** (a city, ZIP, county, or neighborhood URL).
2. You pick **for sale** or **sold**, and optionally property types and a price range.
3. The actor collects every listing in each region — price, beds/baths, size, year built, days on market, coordinates, and the listing link — and streams it into your dataset, ready to download as JSON, CSV, or Excel.

You don't manage any scrapers, accounts, or infrastructure — just paste regions and press **Run**.

### Use cases

**Build a comps / pricing dataset**
Pull sold listings for a set of ZIPs over the last 90 days to feed an automated valuation or comparative-market-analysis model.

**Track a market's for-sale inventory**
Pull active listings across a city's neighborhoods and monitor count, median price, and days on market over time.

**Source investment opportunities**
Filter by property type and price band to surface candidate properties (e.g. condos under $300k) across multiple regions in one run.

### Input

| Field | Type | Description |
| --- | --- | --- |
| `searchUrls` | list | Redfin region pages, e.g. `https://www.redfin.com/city/30818/TX/Austin`. |
| `regions` | json | Advanced: `[{"regionId":"30818","regionType":6}]` (6=city, 5=county, 2=ZIP, 1=neighborhood). |
| `listingStatus` | dropdown | For sale / Sold. |
| `homeTypes` | multi-select | House, Condo, Townhouse, Multi-family, Land, … (empty = all). |
| `soldWithinDays` | integer | Window when status = Sold. |
| `priceBands` | json | Optional price ranges to pull more per region (see tip). |
| `maxPerRegion` | integer | 0 = all available. |

`listingStatus` and `homeTypes` are **pick-lists** — no codes to remember.

### Output — one record per listing

```json
{
  "_input": "city:30818",
  "_source": "S1-gis-csv",
  "_scrapedAt": "2026-06-03T10:00:00Z",
  "recordType": "LISTING",
  "region_label": "city:30818",
  "ADDRESS": "3316 Guadalupe St #213",
  "CITY": "Austin", "STATE OR PROVINCE": "TX", "ZIP OR POSTAL CODE": "78705",
  "PRICE": "155000", "BEDS": "1", "BATHS": "1.0", "SQUARE FEET": "399",
  "PROPERTY TYPE": "Condo/Co-op",
  "LATITUDE": "30.29", "LONGITUDE": "-97.74",
  "URL (SEE ...)": "https://www.redfin.com/TX/Austin/..."
}
```

| Field | Type | Description |
| --- | --- | --- |
| `ADDRESS` | string | Street address. |
| `PRICE` | string | List or sold price. |
| `BEDS` / `BATHS` | string | Bedroom / bathroom count. |
| `SQUARE FEET` | string | Interior size. |
| `LATITUDE` / `LONGITUDE` | string | Coordinates. |

### Tip: pulling more than ~350 per region

Each region returns up to ~350 listings. To pull a dense city in full, add more regions (ZIPs/neighborhoods) or use `priceBands` to split a region into price ranges — results are de-duplicated by address.

### Known limits

- Public listing data, no account needed. Large jobs run best with the residential proxy option (on by default).
- Verified live: Austin returned ~340 listings per region with coordinates and links.

# Actor input Schema

## `searchUrls` (type: `array`):

Paste Redfin region pages, e.g. https://www.redfin.com/city/30818/TX/Austin or /county/.../neighborhood/... The region id/type are parsed from the URL.

## `regions` (type: `array`):

For zips or when you already know the ids: \[{"regionId":"30818","regionType":6}]. region\_type: 6=city, 5=county, 2=zipcode, 1=neighborhood.

## `listingStatus` (type: `string`):

For-sale (active) or recently sold.

## `homeTypes` (type: `array`):

Leave empty for all types.

## `soldWithinDays` (type: `integer`):

When status is Sold, how many days back to include.

## `priceBands` (type: `array`):

Optional. Sweep price ranges to pull more than ~350 per region: \[\[0,300000],\[300000,600000],\[600000,null]].

## `maxPerRegion` (type: `integer`):

Maximum listings per region (0 = all available).

## `maxConcurrency` (type: `integer`):

How many items to process in parallel.

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

Recommended: residential proxy keeps success high at scale.

## Actor input object example

```json
{
  "searchUrls": [
    "https://www.redfin.com/city/30818/TX/Austin"
  ],
  "regions": [],
  "listingStatus": "for_sale",
  "homeTypes": [],
  "soldWithinDays": 90,
  "priceBands": [],
  "maxPerRegion": 0,
  "maxConcurrency": 3,
  "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 = {
    "searchUrls": [
        "https://www.redfin.com/city/30818/TX/Austin"
    ],
    "regions": [],
    "priceBands": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("xtracto/redfin-listings").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 = {
    "searchUrls": ["https://www.redfin.com/city/30818/TX/Austin"],
    "regions": [],
    "priceBands": [],
}

# Run the Actor and wait for it to finish
run = client.actor("xtracto/redfin-listings").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 '{
  "searchUrls": [
    "https://www.redfin.com/city/30818/TX/Austin"
  ],
  "regions": [],
  "priceBands": []
}' |
apify call xtracto/redfin-listings --silent --output-dataset

```

## MCP server setup

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

```

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/yFlMEjO90MTgNJR4M/builds/F7dyRJIA2YHQtb2S5/openapi.json