Property Listings, Prices & Agent Data — Realtor.com
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Property Listings, Prices & Agent Data — Realtor.com
Residential property listings with prices and agent details, from Realtor.com. Give it a location and listing type; returns price, beds, baths, sqft, address, property type, year built, lot size, agent and photos for for-sale and recently-sold homes. For market analysis and comparable pricing.
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Realtor.com Property Listing, Price & Agent Data Scraper
Residential property listings with prices and agent details from Realtor.com, for-sale and recently-sold. Returns price, beds, baths, square footage, full address, property type, year built, lot size, HOA fees, days on market, listing agent and photos — priced comps and the agent who listed them, in one row.
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.