# Redfin Property Scraper - For Sale, Sold & Rental Listings (`seemuapps/redfin-property-scraper`) Actor

Scrape Redfin for-sale, sold and rental listings by city, zip or URL - price, beds, baths, sqft, status, days on market, estimate and agent for every home.

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

## Pricing

from $4.00 / 1,000 property (search row)s

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 Property Scraper - For Sale, Sold & Rental Listings

Extract real estate listings from Redfin for any US city, zip code, neighborhood or county - homes for sale, recently sold homes and rentals - with price, beds, baths, square footage, lot size, year built, days on market, HOA, listing agent, photo and full listing description. No login and no API key needed.

Type "Austin, TX", pick **For sale**, and every active and coming-soon listing streams into a dataset you can export to JSON, CSV, Excel or Google Sheets. Switch to **Recently sold** for closed sales with sold dates and prices, or **For rent** for apartment and house rentals with rent ranges and available units.

### What you get

One row per property:

- **propertyId**, **listingId**, **url**, **mlsId**
- **address**, **city**, **state**, **zip**, **latitude**, **longitude**
- **price** (list price, sold price or monthly rent), **priceMax** (rent range upper bound), **pricePerSqft**
- **beds**, **baths**, **sqft**, **lotSqft**, **yearBuilt**, **propertyType** (House, Condo, Townhouse, Multi-family, Land, Apartment ...)
- **status** (Active, Coming Soon, Closed, For Rent ...), **listingType** (forSale / sold / rent), **daysOnMarket**, **hoaMonthly**
- **listingAgent**, **listingBrokerage**
- **soldDate**, **soldPrice** (sold listings), **lastSoldDate** (previous sale for active listings)
- **photoUrl**, **description** (the full listing remarks)
- **redfinEstimate** and **priceHistory** when **Fetch property details** is on or in URLs mode
- **scrapedAt**

### Use cases

- **Real estate lead generation** - pull every new listing in a zip code each morning and reach out to sellers, buyers and listing agents
- **Comparable sales and appraisal** - export recently sold homes with sold dates, prices and price per square foot for any neighborhood
- **Investment analysis** - screen thousands of listings by price, beds, baths, square footage and HOA, then rank by price per square foot
- **Rental market research** - track rent ranges, available units and property types across a city
- **Market monitoring dashboards** - schedule daily runs and load the dataset into Google Sheets, BigQuery or your BI tool
- **Data science and ML** - build clean, structured housing datasets with coordinates for mapping and modelling

### How to use

1. Leave **Mode** on *Search a location* and enter a **Location** - a city and state (`Austin, TX`), a 5-digit zip code (`78704`), a neighborhood or a county. You can instead paste one or more redfin.com **Search URLs**; region and `/filter/` settings (min-price, max-price, min-beds, min-baths, property-type, sold window) in the URL are honoured.
2. Choose a **Listing type**: *For sale*, *Recently sold* (with **Sold within** 30 days to 3 years) or *For rent*.
3. Optionally set **Min/Max price**, **Min bedrooms**, **Min bathrooms**, **Min/Max square feet** and **Property types**.
4. Set **Max items** (default 100; `0` fetches everything available) and **Sort by**.
5. Turn on **Fetch property details** to add the estimate and sale history to every row (2 extra requests per property).
6. Run the actor - results stream into the **Dataset** tab as they are found.

To look up specific homes, switch **Mode** to *Property URLs* and paste redfin.com property links (`https://www.redfin.com/TX/Austin/.../home/31158554`). Each URL returns one detail row including the estimate, even for off-market homes.

### Output format

Each dataset record:

```json
{
  "propertyId": "31287479",
  "listingId": "223648217",
  "url": "https://www.redfin.com/TX/Austin/6904-Ladera-Norte-78731/home/31287479",
  "address": "6904 Ladera Norte",
  "city": "Austin",
  "state": "TX",
  "zip": "78731",
  "latitude": 30.3662362,
  "longitude": -97.7814561,
  "price": 1525000,
  "priceMax": null,
  "redfinEstimate": null,
  "beds": 4,
  "baths": 3,
  "sqft": 3193,
  "lotSqft": null,
  "yearBuilt": 1985,
  "propertyType": "House",
  "status": "Coming Soon",
  "listingType": "forSale",
  "daysOnMarket": 2,
  "hoaMonthly": null,
  "pricePerSqft": 478,
  "mlsId": "2197395045004573785",
  "listingAgent": null,
  "listingBrokerage": null,
  "soldDate": null,
  "soldPrice": null,
  "lastSoldDate": "2016-06-22",
  "photoUrl": "https://ssl.cdn-redfin.com/photo/641/bigphoto/785/2197395045004573785_0.jpg",
  "description": "Some homes have a view. This Cat Mountain home was designed to live with one. Expansive windows extend across the back of the home, framing Hill Country views...",
  "priceHistory": [],
  "scrapedAt": "2026-09-20T08:17:28.931Z"
}
```

A sold listing looks the same with `"status": "Closed"`, `"listingType": "sold"`, `"soldDate": "2026-08-28"` and `"soldPrice": 689999`. Rentals report the rent range in `price` / `priceMax`, the number of available units in `status`, and `"propertyType": "Apartment"` for apartment communities.

### Tips

- Searches return up to 350 listings per page and paginate automatically; set **Max items** to `0` to pull an entire city.
- When more than 350 results are requested the run pages in price order so pages never overlap - the final dataset is de-duplicated by `propertyId`.
- Some MLS boards withhold price or status on sold homes (non-disclosure states). Those rows still include the address, coordinates, size and description with the withheld fields set to `null`.
- `priceHistory` lists past sale dates; sale prices inside the history are only included when the listing source publishes them.
- Square-footage filters are applied after fetching, so very narrow ranges may need a higher **Max items** to fill up.

### Pricing

You pay per property returned: a `property-result` event for each search row, or a `property-detail` event for each row enriched with the estimate and sale history (Fetch property details on, or URLs mode). No platform usage surprises - proxies and compute are included.

# Actor input Schema

## `mode` (type: `string`):

Search a location (city, zip code, neighborhood or county) for listings, or paste individual redfin.com property URLs to get one detail row per property.

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

Where to search, e.g. 'Austin, TX', '78704', 'Brooklyn, NY' or 'Travis County, TX'. Used in Search mode when no Search URLs are given.

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

redfin.com search-results URLs (city, neighborhood, county or zip pages, with or without /filter/ settings). Each URL is searched separately. Price, bed, bath and sold-window filters in the URL are honoured; other settings below fill in the rest.

## `propertyUrls` (type: `array`):

redfin.com property URLs such as https://www.redfin.com/TX/Austin/1600-Barton-Springs-Rd-78704/unit-4401/home/31158554. One detail-enriched row is returned per URL.

## `listingType` (type: `string`):

Which listings to return. 'Recently sold' uses the Sold within window below.

## `soldWithinDays` (type: `string`):

How far back to look for sold listings. Only used when Listing type is 'Recently sold'.

## `minPrice` (type: `integer`):

Minimum list price (or monthly rent in rent mode) in USD. Leave empty for no minimum.

## `maxPrice` (type: `integer`):

Maximum list price (or monthly rent in rent mode) in USD. Leave empty for no maximum.

## `minBeds` (type: `integer`):

Only return homes with at least this many bedrooms.

## `minBaths` (type: `number`):

Only return homes with at least this many bathrooms (1.5, 2, 2.5 ...).

## `minSqft` (type: `integer`):

Only return homes with at least this much living area. Applied after fetching, so very tight ranges may need more pages.

## `maxSqft` (type: `integer`):

Only return homes with at most this much living area. Applied after fetching.

## `propertyTypes` (type: `array`):

Restrict to these property types. Leave empty for all types. Rentals support House, Condo, Townhouse and Multi-family only.

## `sortBy` (type: `string`):

Order of results. When more than 350 results are requested the run switches to price order internally so pages do not overlap.

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

Maximum number of properties to return per location or search URL. 0 = everything available (paginates until the results run out or the run times out).

## `fetchDetails` (type: `boolean`):

Also open each property's estimate and sale-history data (redfinEstimate, priceHistory). Adds 2 requests per property and bills the property-detail event instead of property-result.

## Actor input object example

```json
{
  "mode": "search",
  "location": "Austin, TX",
  "listingType": "forSale",
  "soldWithinDays": "90",
  "sortBy": "recommended",
  "maxItems": 20,
  "fetchDetails": false
}
```

# Actor output Schema

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

One record per property: propertyId, listingId, url, address, city, state, zip, latitude, longitude, price, redfinEstimate, beds, baths, sqft, lotSqft, yearBuilt, propertyType, status, listingType, daysOnMarket, hoaMonthly, pricePerSqft, mlsId, listingAgent, listingBrokerage, soldDate, soldPrice, photoUrl, description, priceHistory, scrapedAt.

# 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 = {
    "mode": "search",
    "location": "Austin, TX",
    "listingType": "forSale",
    "maxItems": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/redfin-property-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 = {
    "mode": "search",
    "location": "Austin, TX",
    "listingType": "forSale",
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/redfin-property-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 '{
  "mode": "search",
  "location": "Austin, TX",
  "listingType": "forSale",
  "maxItems": 20
}' |
apify call seemuapps/redfin-property-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,seemuapps/redfin-property-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/EgD6C1hhS7Z8e8a5C/builds/XLBdrqb5gwVMZzXDX/openapi.json