Redfin Details Scraper

Copying Redfin listings into a spreadsheet by hand burns an afternoon and still leaves gaps. This scraper does the typing for you: paste a Redfin city page, a ZIP search, or a single home URL and get back clean rows with the asking price, beds, baths, square footage, photos, agent, brokerage, and map coordinates. Feed it one link or a whole city.

What you get

Every property comes back as one tidy row with a steady set of columns, so results drop straight into a sheet or database. Fields that a listing does not publish come back empty instead of disappearing. Each row groups into:

• Location — streetLine, cityName, stateCode, postalCode, countryCode, plus geoLat / geoLng
• Price and status — listPrice, currencyCode, saleStatus, daysListed
• Home details — bedroomCount, bathroomCount, floorAreaSqft, propertyType, constructionYear, lotArea, hoaCost, parkingDetails, featureList
• Listing extras — listingDescription, mlsId, schoolDetails, listingAgent, brokerageFirm
• Photos — coverPhoto and the full photoLinks array
• Run info — listingUrl, sourceUrl, collectedAt, errorMessage

Quick start

1. Hit Try for free and open the input form.
2. Paste one or more Redfin links into Redfin URLs — a city page, a ZIP page, or a direct property page all work.
3. Set a Results limit to cap how many homes you pull, and adjust the Timeout if needed.
4. Press Start, then download your data as JSON, CSV, Excel, or XML once the run finishes.

Use cases

• Real estate investors building comps and running quick deal math across a target ZIP
• Agents and brokers pulling fresh inventory for a city or neighborhood without manual lookups
• Market analysts tracking price, days on market, and supply shifts over time
• App and dashboard builders feeding live listing data into their own tools
• Researchers studying housing trends, pricing, or stock across regions

Input

Field	Type	Required	Description
propertyUrls	array of objects	Yes	Redfin links to scrape — city, ZIP, or direct property pages. City and ZIP pages are crawled and every listing on them is collected.
resultsLimit	integer	No	Most property rows to gather per run. Default 50; max 1000.
timeoutSeconds	integer	No	Seconds to wait on each request before giving up. Default 45.

Example input

{
    "propertyUrls": [
        {"url": "https://www.redfin.com/city/30749/TX/Austin"},
        {"url": "https://www.redfin.com/zipcode/78701"}
    ],
    "resultsLimit": 50,
    "timeoutSeconds": 45
}

Output

Each property becomes one row. City and ZIP pages expand into many rows; a direct property URL returns a single row. Every field is always present — anything the listing does not show comes back as null so your dataset stays rectangular.

Example output

{
    "listingUrl": "https://www.redfin.com/TX/Austin/123-Oak-St-78701/home/55012345",
    "streetLine": "123 Oak St",
    "cityName": "Austin",
    "stateCode": "TX",
    "postalCode": "78701",
    "countryCode": "US",
    "listPrice": 624900,
    "currencyCode": "USD",
    "saleStatus": "For Sale",
    "bedroomCount": 3,
    "bathroomCount": 2,
    "floorAreaSqft": 1740,
    "propertyType": "Single Family Residential",
    "constructionYear": 1972,
    "geoLat": 30.2711,
    "geoLng": -97.7437,
    "listingDescription": "Updated single-story home a short walk from downtown, with a renovated kitchen and a shaded backyard.",
    "featureList": [
        "Heating & cooling: Central A/C",
        "Parking: 2-car garage"
    ],
    "photoLinks": [
        "https://ssl.cdn-redfin.com/photo/52/bigphoto/345/55012345_1.jpg",
        "https://ssl.cdn-redfin.com/photo/52/bigphoto/345/55012345_2.jpg"
    ],
    "coverPhoto": "https://ssl.cdn-redfin.com/photo/52/bigphoto/345/55012345_1.jpg",
    "mlsId": "1234567",
    "daysListed": 9,
    "lotArea": "0.21 acres",
    "hoaCost": null,
    "parkingDetails": "Parking: 2-car garage",
    "listingAgent": "Maria Lopez",
    "brokerageFirm": "Compass RE Texas",
    "schoolDetails": "Austin Independent School District",
    "collectedAt": "2026-06-29T10:23:45.123456+00:00",
    "sourceUrl": "https://www.redfin.com/city/30749/TX/Austin",
    "errorMessage": null
}

Output fields

Field	Type	Description
listingUrl	string	Direct link to the Redfin property page
streetLine	string	House number and street name
cityName	string	Town or city
stateCode	string	Two-letter US state code
postalCode	string	US ZIP code
countryCode	string	Country code, usually US
listPrice	integer	Asking price in whole dollars
currencyCode	string	Currency code for the price, such as USD
saleStatus	string	For Sale, Sold, Pending, and similar
bedroomCount	integer	Number of bedrooms
bathroomCount	integer	Total bathroom count
floorAreaSqft	integer	Indoor living space in square feet
propertyType	string	Single Family Residential, Condo, Townhouse, and so on
constructionYear	integer	Year the home was built
geoLat	number	Map latitude
geoLng	number	Map longitude
listingDescription	string	Full write-up or agent remarks
featureList	array	Highlighted features such as parking or cooling
photoLinks	array	Full-size URLs for every listing photo
coverPhoto	string	URL of the lead photo
mlsId	string	Multiple Listing Service identifier
daysListed	integer	Days the home has been on the market
lotArea	string	Lot size as shown, e.g. 0.21 acres
hoaCost	string	Homeowners association fee, when listed
parkingDetails	string	Garage or parking notes
listingAgent	string	Name of the listing agent
brokerageFirm	string	Brokerage representing the listing
schoolDetails	string	Nearby schools or school district
collectedAt	string	ISO 8601 timestamp of when the row was captured
sourceUrl	string	The input URL that led to this property
errorMessage	string	Why a property failed; null on success

Tips for best results

• Test with a small resultsLimit first. Set it to 10 or 20 on a new URL to confirm the output fits your pipeline before pulling a whole city.
• City and ZIP pages multiply fast. One city link can expand into hundreds of rows, so use resultsLimit to keep runs in check.
• Direct property URLs return one row each. Mix them freely with search pages in the same run.
• Raise timeoutSeconds toward 60 if you see repeated timeout errors on larger pages.
• Empty fields are normal. Some listings hide the HOA fee, lot size, or school info — those columns come back as null rather than failing the row.

How can I use Redfin property data?

How can I use the Redfin Details Scraper to build a comps list for a neighborhood? Paste a city or ZIP search URL for the area you care about and set resultsLimit to the number of homes you want. Each row carries the address, listPrice, bedroomCount, bathroomCount, floorAreaSqft, and saleStatus, so you can sort and filter comparable sales in a spreadsheet within minutes.

How can I export Redfin listings to CSV or Excel? Run the scraper on your Redfin URLs, then use the export button to download the dataset as CSV, Excel, JSON, or XML. Every property is one row with the same columns, which keeps the file clean when you open it in a sheet or load it into a database.

How can I track Redfin price changes and days on market over time? Schedule the actor to run on the same city or ZIP URLs on a regular cadence and keep each export. Comparing listPrice, daysListed, and saleStatus between runs shows you how inventory and pricing move across a market without watching the site by hand.

How can I pull Redfin photos and agent details for a single property? Drop a direct property URL into propertyUrls. The row returns coverPhoto, the full photoLinks array, listingAgent, brokerageFirm, and the listingDescription, so you get the visuals and the contact context in one place.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.