Redfin Scraper — Real Estate Listings, Price, Beds/Baths, Sqft & Geo

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.

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

• 📍 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

1. Add the Redfin Scraper to your Apify account.
2. Add one or more places to locations — a city, "City, ST" or ZIP.
3. Set maxHomesPerLocation and optional minPrice, maxPrice, minBeds filters.
4. Click Run.
5. 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?

• Crexi Scraper — commercial real estate listings
• Domain Inspector — domain & DNS intelligence
• 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.

Related Actors

• Crexi Scraper — commercial real estate listings
• Domain Inspector — domain & DNS intelligence
• Contact Details Scraper — emails, phones and socials

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.