Realtor.com Property Scraper
Realtor.com Property Listings Scraper
Scrapes for-sale and recently-sold property listings from Realtor.com. Returns price, beds, baths, square footage, full address, property type, year built, HOA fees, days on market, listing agent and photos as structured JSON.
Realtor.com Scraper Features
- Search any US market by city and state
- Switch between for-sale and recently-sold inventory
- Returns 23 fields per property, including agent name, phone and brokerage
- Captures HOA fee, lot size, garage and year built — the fields that decide a deal
days_on_marketon every record, for staleness analysis- Photo URLs returned as an array
- Caps output with
maxItemsper location
What can you do with Realtor.com listing data?
- Investors — Screen a market for price-per-square-foot outliers and long days-on-market, which is where negotiating room lives.
- Appraisers and analysts — Pull recently-sold comparables for a ZIP code instead of paging through them by hand.
- Proptech products — Seed a listings database with real inventory rather than licensing a feed.
- Agent prospecting — Build a contact list of listing agents active in a specific market.
- Market reporting — Track median price, inventory and days on market across cities over time.
How Realtor.com Scraper Works
- You supply a location in Realtor.com's own format —
San-Francisco_CA,Austin_TX. - The scraper opens the matching search for the chosen
listingType. - It walks the result pages and opens each property detail page for the full field set.
- Records stream to the dataset as they are parsed, stopping at
maxItemsper location.
Input
{
"location": "Austin_TX",
"listingType": "for-sale",
"maxItems": 100
}
| Field | Type | Default | Description |
|---|---|---|---|
location |
string | San-Francisco_CA |
City and state, hyphenated city with underscore state — San-Francisco_CA, Austin_TX |
listingType |
string | for-sale |
for-sale or recently-sold |
maxItems |
integer | 10 |
Maximum property records per location |
Run it twice with the same location and both listing types to get asking prices and recent clearing prices side by side.
Realtor.com Scraper Output Fields
{
"listing_id": "M1234567890",
"listing_url": "https://www.realtor.com/realestateandhomes-detail/123-Main-St_Austin_TX_78701",
"price": "$1,250,000",
"beds": "4",
"baths": "3",
"sqft": "2450",
"address": "123 Main St",
"city": "Austin",
"state": "TX",
"zip_code": "78701",
"listing_type": "for-sale",
"property_type": "single_family",
"year_built": "1998",
"lot_size": "0.24 acres",
"garage": "2 car attached",
"hoa_fee": "$85",
"days_on_market": "37",
"agent_name": "Jane Doe",
"agent_phone": "512-555-0100",
"broker_name": "Austin Realty Group"
}
| Field | Type | Description |
|---|---|---|
listing_id |
string | Realtor.com listing ID |
listing_url |
string | URL of the property detail page |
price |
string | Listing price, formatted — e.g. $1,250,000 |
beds |
string | Number of bedrooms |
baths |
string | Number of bathrooms |
sqft |
string | Square footage |
address |
string | Full street address |
city |
string | City |
state |
string | State abbreviation |
zip_code |
string | ZIP code |
listing_type |
string | for-sale or recently-sold |
property_type |
string | e.g. single_family, condo, townhouse |
year_built |
string | Year the property was built |
lot_size |
string | Lot size in sqft or acres |
garage |
string | Garage / parking description |
hoa_fee |
string | HOA monthly fee, if applicable |
days_on_market |
string | Days the listing has been active |
agent_name |
string | Listing agent name |
agent_phone |
string | Listing agent phone number |
broker_name |
string | Brokerage name |
photo_urls |
array | Array of photo URLs |
description |
string | Property description text |
scraped_at |
string | ISO 8601 timestamp of extraction |
FAQ
What location format does the Realtor.com Scraper expect?
Realtor.com's own: city hyphenated, state after an underscore. San-Francisco_CA, New-York_NY, Austin_TX.
Can I get sold prices rather than asking prices?
Yes. Set listingType to recently-sold. That is the closest public equivalent to transaction data on this source.
Does it need a Realtor.com account?
No. It reads public listing pages.
Why is price a formatted string instead of a number?
It is returned as the listing displays it, currency symbol and separators included, without a lossy cast. Strip and parse it where you control the rounding.
Can I search by ZIP code or draw a map area?
Not currently — search is by city and state. ZIP appears in the output, so filter after the fact if you need a specific one.
Need More Features?
Want ZIP-level search or price-band filters? Open an issue on the actor.
Why Use Realtor.com Scraper?
- Sold comparables, not just listings —
recently-soldgives real clearing prices, which is what valuation work actually needs. - Agent contact on every record — Name, phone and brokerage come standard, so the same pull serves prospecting and analysis.
- Pay per property — No subscription, no seat licence. A one-off market study costs what those records cost and then stops.