Realtor Scraper – Scrape Realtor.com Listings, Agents & Sold Comps (USA)

The fastest way to scrape Realtor.com. Pull US homes for sale, for rent, sold, and pending listings by city, ZIP, or URL — normalized into clean, flat JSON with price, beds/baths/sqft, coordinates, agent email & phone, broker, and photos. No API key, no code required.

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What is this Realtor.com scraper?

This Realtor scraper extracts live property listings, sold comps, and agent contact details directly from Realtor.com — no Realtor.com API key needed. Give it a city, a ZIP code, or a Realtor.com search/detail URL, and it returns structured, ready-to-use data: list price, beds, baths, square footage, address, coordinates, and full agent/broker contact info (name, email, phone, license, office). It's the go-to tool for anyone who's searched "how to scrape Realtor.com" and wants a production-ready answer instead of building a custom scraper from scratch.

What it extracts: for-sale, for-rent, sold, and pending property listings, plus listing agent, broker, and office contact details.

Who it's for: real estate investors, PropTech teams, lead-gen agencies, data analysts, and developers doing real estate web scraping at scale.

Why choose this over building your own scraper: Realtor.com's anti-bot protections and GraphQL structure make DIY scraping fragile — this Actor handles request signing, pagination, and proxy routing for you, and outputs a flat schema instead of deeply nested JSON.

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Why scrape real estate data from Realtor.com? (Business Use Cases)

• Lead Generation for Real Estate & Mortgage Teams — Build targeted buyer/seller lead lists with verified agent emails and phone numbers pulled straight from active listings.
• Investment & Market Research — Scrape real estate data across multiple cities or ZIPs to compare pricing trends, inventory levels, and days-on-market for underwriting decisions.
• Valuation & Comps Modeling — Pull sold listings (sold status) to feed automated valuation models (AVMs) or comparative market analyses (CMAs).
• PropTech & CRM Integration — Feed a continuous stream of new listings into your CRM, Slack, or internal dashboard the moment they hit the market, via scheduled runs and webhooks.

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Key Features

Feature	Detail
Location search	ZIP, city, City, ST, neighborhood, or county — just type a place name
Bulk Realtor.com URLs	Mix search pages and detail pages in a single run
Listing types	for_sale, for_rent, sold, pending
Deep filters	Price, beds, baths, sqft, lot size, year built, property type, foreclosure, past N days
Agent & broker contacts	Name, email(s), phone(s), state license, office, broker, builder
Enrich mode	Optional detail-page pass for fuller agent/builder data
Per-location limits	maxItems applies per city/URL; set 0 to paginate until results run out
Streaming output	Every listing is pushed to the dataset the moment it's scraped — no waiting for the full run
No Realtor.com API key needed	Runs entirely through the Actor — nothing to authenticate on your end

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Input Parameters

Provide at least one of locations or startUrls.

Parameter	Type	Required	Default	Description
locations	string[]	No*	—	Free-text places to search (ZIP, city, City, ST, neighborhood, county)
startUrls	string[]	No*	—	Bulk Realtor.com search and/or detail page URLs, deduplicated automatically
listingType	string	No	for_sale	for_sale | for_rent | sold | pending
maxItems	integer	No	100	Max listings per location or URL; 0 = unlimited (paginate until empty)
pastDays	integer	No	—	Only include listings listed/sold within the last N days
priceMin / priceMax	integer	No	—	Minimum / maximum list price in USD
bedsMin / bedsMax	integer	No	—	Minimum / maximum bedrooms
bathsMin	number	No	—	Minimum bathrooms (supports halves, e.g. 1.5)
sqftMin / sqftMax	integer	No	—	Minimum / maximum living area in sqft
lotSqftMin	integer	No	—	Minimum lot size in sqft
yearBuiltMin / yearBuiltMax	integer	No	—	Earliest / latest construction year
propertyTypes	string[]	No	—	single_family, multi_family, condos, townhomes, duplex_triplex, farm, land, mobile
sortBy	string	No	list_date	list_date | sold_date | list_price | sqft | beds | baths | last_update_date
sortDirection	string	No	desc	asc | desc
foreclosure	boolean	No	false	Return only foreclosure listings
excludePending	boolean	No	false	Drop pending listings when listingType is for_sale
enrichDetails	boolean	No	true	Fetch full listing details for richer agent/builder contact fields

*One of locations or startUrls is required.

Valid input sample:

{
  "locations": ["Austin, TX", "New York"],
  "listingType": "for_rent",
  "maxItems": 100,
  "sortBy": "list_date",
  "sortDirection": "desc",
  "enrichDetails": true
}

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Output Data Structure

Each output item is one flat property record — no nested objects to unpack. Contact fields prefer the listing agent first, with full multi-value lists available for broker and office contacts.

{
  "country": "US",
  "source": "realtor",
  "propertyUrl": "https://www.realtor.com/realestateandhomes-detail/...",
  "propertyId": "9726862266",
  "status": "for_rent",
  "listPrice": 525000,
  "beds": 3,
  "fullBaths": 2,
  "baths": 2,
  "sqft": 1840,
  "formattedAddress": "9525 Buckstitch Saddle Dr, Austin, TX 78724",
  "city": "Austin",
  "state": "TX",
  "zipCode": "78724",
  "latitude": 30.27,
  "longitude": -97.65,
  "agentName": "Kelly Campbell",
  "agentEmail": "kellycc21@gmail.com",
  "agentPhone": "8452974700",
  "brokerName": "Century 21 Alliance Realty Group",
  "officeName": "Century 21 Alliance Realty Group",
  "officePhones": ["8452974700", "8008961768"],
  "photos": ["https://..."],
  "scrapedAt": "2026-09-18T06:00:00+00:00",
   "..": ".."
}

Export straight to JSON, CSV, Excel, or XML from the Apify dataset UI or API — no manual parsing needed.

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How to Scrape Realtor.com in 4 Steps

Wondering how to scrape Realtor.com without writing your own crawler? Here's the whole workflow:

1. Configure input — Add cities, ZIPs, or Realtor.com URLs to locations / startUrls, then set your listing type and filters (price, beds, baths, etc.).
2. Run the Actor — Click "Start" in the Apify Console, or trigger it via the Apify API, Python, or JavaScript SDK.
3. Preview results — Watch listings stream into the dataset in real time as they're scraped.
4. Export or automate — Download as JSON, CSV, or Excel, or pipe results into your CRM, spreadsheet, or database via Zapier, Make, n8n, or webhooks.

Integrations & Export Options

Results export natively to JSON, CSV, Excel, and XML, and connect directly to no-code tools like n8n, Zapier, and Make. Push scraped listings into HubSpot, Salesforce, Google Sheets, or a data warehouse (Postgres, BigQuery, Airtable) via the Apify API, SDKs, or scheduled webhook triggers — ideal for keeping lead lists or market dashboards continuously up to date.

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Frequently Asked Questions (FAQ)

How do I scrape Realtor.com?

Enter a location (city, ZIP, or City, ST) or a Realtor.com URL into the Actor's input, choose a listing type (for_sale, for_rent, sold, pending), and run it. No coding, proxies, or Realtor.com login is required — the Actor handles pagination and returns structured JSON automatically.

Can you scrape real estate data on Realtor.com?

Yes. This Actor is purpose-built to scrape real estate data from Realtor.com's public listing pages and GraphQL search — including for-sale, for-rent, sold, and pending properties, plus agent and broker contact details.

Can you scrape data from Realtor.ca?

No — this Actor targets Realtor.com (United States) only. Realtor.ca is a separate Canadian platform with a different site structure and is not covered by this scraper.

How do I scrape data from Realtor.com into a spreadsheet?

Run the Actor, then export the resulting dataset directly to CSV or Excel from the Apify Console (or via the API) — no extra transformation step needed. The output is already flat, so it opens cleanly as spreadsheet rows.

Why is agentStateLicense sometimes empty?

Realtor.com doesn't always include state_license on search result cards. Enable enrichDetails (on by default) to fetch full listing details — though some listings still omit license info from the public payload entirely.

How does maxItems work with multiple locations?

It applies per location or URL, not globally. Two locations with maxItems: 100 can return up to 200 listings total. Set maxItems: 0 to paginate until Realtor.com returns no more results.

Can I integrate this with my CRM or spreadsheet tools?

Yes. Use the Apify API, webhooks, or Python/JS SDKs to push scraped listings into HubSpot, Salesforce, Google Sheets, or your own data warehouse automatically.

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