Redfin Scraper

hipersoft/redfin-scraper

Scrape Redfin for-sale real estate listings by location: price, beds, baths, square footage, lot size, property type, address, coordinates, days on market and listing URL. No setup.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per property scraped

$0.002

Last rebuilt

Oct 28, 2026

Overview

Scrape Redfin for-sale real estate listings for any location — price, beds, baths, square footage, lot size, property type, address, coordinates, days on market and the listing URL — into clean JSON, CSV or Excel. Just type a city, ZIP or "City, ST" and get back structured records ready for spreadsheets, maps or analytics. No account, no API key. Fast and reliable.

Redfin Scraper input — locations, max homes and price filters in the Apify Console

Great for real estate analysis, investing, agent lead lists, market research and mapping.

What does Redfin Scraper do?

It geocodes each location you pass and returns one clean record per for-sale listing — price, beds, baths, size, property type, address, coordinates, status and days on market, plus a direct link and photo. Pass many locations and export the whole inventory in one run.

What you get

Redfin Scraper output example — one structured JSON row per for-sale listing

📍 Search by place — pass any number of locations like "Austin, TX", "Miami, FL" or "90210"; each is geocoded to a search area automatically.
🏠 Full property detail — every home carries price, beds, baths, sqFt, pricePerSqFt, lotSize, yearBuilt, propertyType, stories and hoa.
🎚️ Exact filters — minPrice, maxPrice and minBeds so results match precisely.
🗺️ Map-ready geo — each record includes latitude and longitude plus full address, city, state and zip.
⏱️ Market timing — capture daysOnMarket, listing status, mlsId and a direct url to the Redfin page.
📸 Photos included — a photo URL comes with every listing.

Output schema

Field	Type	Description
`location`	string	The search location this listing was found for.
`mlsId`	string	MLS identifier of the listing.
`price`	integer	List price in USD.
`beds`	integer	Number of bedrooms.
`baths`	number	Number of bathrooms.
`sqFt`	integer	Interior area in square feet.
`pricePerSqFt`	integer	Price per square foot in USD.
`lotSize`	integer	Lot size in square feet.
`yearBuilt`	integer	Year the home was built.
`propertyType`	string	Property type (e.g. Single Family, Condo).
`stories`	integer	Number of stories.
`hoa`	integer	Monthly HOA fee in USD.
`address`	string	Street address of the home.
`unit`	string	Unit or apartment number, if any.
`city`	string	City.
`state`	string	Two-letter state code.
`zip`	string	ZIP code.
`latitude`	number	Latitude coordinate.
`longitude`	number	Longitude coordinate.
`status`	string	Listing status (e.g. Active).
`daysOnMarket`	integer	Days the listing has been on market.
`listingId`	integer	Redfin listing identifier.
`url`	string (URL)	Direct link to the Redfin listing page.
`photo`	string (URL)	URL of the listing's main photo.

Use cases

Market inventory — pull an up-to-date list of homes for sale in target markets.
Trend analysis — analyze price-per-sqft, beds/baths and days-on-market by area.
Mapping — plot listings using the built-in coordinates.
Investor comps — build comparable-sales and valuation datasets.
Agent lead lists — feed listings into agent and outreach workflows.
Research — track supply and pricing across cities over time.

How to scrape Redfin data

Add the Redfin Scraper to your Apify account.
Add one or more places to locations — a city, "City, ST" or ZIP.
Set maxHomesPerLocation and optional minPrice, maxPrice, minBeds filters.
Click Run.
Export the results as JSON, CSV or Excel, or pull them via the Apify API.

Input

{
  "locations": ["Austin, TX", "Miami, FL"],
  "maxHomesPerLocation": 300,
  "minPrice": 0,
  "maxPrice": 0,
  "minBeds": 0
}

Field	Description
`locations`	Places to search — city, "City, ST" or ZIP; each is geocoded.
`maxHomesPerLocation`	Max listings per location (1–350, default 300).
`minPrice` / `maxPrice`	Price bounds in USD (0 = no bound).
`minBeds`	Minimum bedrooms.
`proxyConfiguration`	Optional proxy settings; works without one, add for high volume.

Output

{
  "location": "Austin, TX",
  "mlsId": "1234567",
  "price": 625000,
  "beds": 3,
  "baths": 2,
  "sqFt": 1840,
  "pricePerSqFt": 340,
  "lotSize": 6500,
  "yearBuilt": 2015,
  "propertyType": "Single Family",
  "stories": 2,
  "hoa": 45,
  "address": "1234 Maple St",
  "unit": null,
  "city": "Austin",
  "state": "TX",
  "zip": "78704",
  "latitude": 30.245,
  "longitude": -97.77,
  "status": "Active",
  "daysOnMarket": 12,
  "listingId": "987654",
  "url": "https://www.redfin.com/TX/Austin/1234-Maple-St-78704/home/987654",
  "photo": "https://ssl.cdn-redfin.com/photo/..."
}

Need more property data?

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Contact Details Scraper — emails, phones and socials

FAQ

Do I need a Redfin account? No. This reads publicly available for-sale listing data — no account, no API key.

How many homes can I scrape? Up to about 350 per location; set maxHomesPerLocation to control the run.

Can I filter by price or beds? Yes — use minPrice, maxPrice and minBeds so results match precisely.

Do listings include coordinates? Yes — each record carries latitude and longitude plus full address, city, state and ZIP.

What export formats are supported? JSON, CSV, Excel and XML, plus the Apify API.

Can I integrate it with other tools? The Redfin Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

How does billing work? You pay only per item you get — cheap per listing, cheapest in its class.

Notes

Original clean-room implementation. Reads only publicly available Redfin for-sale listing data — no login-walled content or private accounts. You are responsible for how you use the data. Not affiliated with, authorized or endorsed by Redfin; "Redfin" and related marks belong to their respective owners.

Input

Field	Type	Description
`locations` required Locations	array	Places to search, e.g. "Austin, TX", "Miami, FL", "90210". Each is geocoded to a search area.
`maxHomesPerLocation` Max homes per location	integer	Maximum listings to collect per location (Redfin returns up to ~350 per area). Default: `300`
`minPrice` Min price (USD)	integer	Only include listings at or above this price. Default: `0`
`maxPrice` Max price (USD)	integer	Only include listings at or below this price (0 = no cap). Default: `0`
`minBeds` Min bedrooms	integer	Only include listings with at least this many bedrooms. Default: `0`
`proxyConfiguration` Proxy	object	Optional proxy. Redfin works without one; add a proxy for high volume. Default: `{"useApifyProxy": false}`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~redfin-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "locations": [
    "Austin, TX"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/redfin-scraper").call(run_input={
    "locations": [
        "Austin, TX"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/redfin-scraper').call({
  "locations": [
    "Austin, TX"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Property scraped One property listing scraped with full details.	$0.002	$0.002

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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