Realtor Scraper — US Real Estate Listings & Property Data

What does Realtor Scraper do?

Realtor Scraper extracts structured US real-estate listings from realtor.com — for sale, for rent, and recently sold. Every listing carries price, beds/baths, square footage, lot size, address with GPS, photos, and the listing agent. Detail enrichment (on by default) adds price history, tax history with assessments, assigned schools, flood risk, independent value estimates (AVM), and a mortgage breakdown. Filter by price, beds, baths, sqft, property type, and an optional lat/long radius; paste any realtor.com search or property URL; and run incrementally to capture only new, changed, or expired listings.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• 📋 Deep property detail — every listing is enriched (on by default) with the full detail payload: price history, tax history with assessments, assigned schools and ratings, flood risk (FEMA zone + flood-factor score), value estimates (AVM low/mid/high plus the estimate flagged as best), neighborhood market intel (median list price and days-on-market per neighborhood), a mortgage breakdown, and the full description — not just the search-card summary. Turn it off for faster, cheaper search-only records.
• 💵 Price, valuation & history — structured list price, price-per-sqft, price-reduced amount, last-sold price/date, and a full price-history timeline. Detail mode adds independent value estimates (AVM) — including the source's best-flagged estimate and neighborhood median pricing — so you can rank listings against their estimated market value.
• 📇 Agent & office contacts — every listing carries the listing agent, office, phone, and (opt-in) email, plus the full advertiser list — structured fields ready for outreach or CRM import.
• 🧑‍💼 Listings + Agents in one actor — two modes from one actor. Default mode scrapes property listings; switch to Agents mode to scrape the real-estate agent directory for any location — name, broker, office, star rating, recommendations, review count, and for-sale / recently-sold production stats per agent. Contact enrichment (on by default) adds each agent's direct & office phone, website, office address, license number, and social-media profiles. Ideal for B2B agent lead-gen.
• 🎯 Multi-location search — pass several locations (city + state, ZIP codes, neighborhoods) in one run with a single shared dedup state. Filter by price, beds, baths, square footage, and property type — and optionally a precise lat/long radius.
• ♻️ Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline; subsequent runs emit only NEW / UPDATED / REAPPEARED records (UNCHANGED + EXPIRED opt-in). Saves 80–95% on daily monitoring.
• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.
• 🔗 Paste-mode — build the search you want on realtor.com, copy the result-page URL, and paste it — each URL's location and mode (for sale / sold / rent) are read from the URL. Mix in individual property URLs too; results dedupe by listing id.
• 📦 Compact mode — AI-agent and MCP-friendly payloads with core fields only.
• 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).
• 🔌 MCP connectors — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.

What data can you extract from Realtor.com?

Each result includes Core listing fields (listingId, propertyId, listingKey, title, url, portalUrl, permalink, and status, and more), detail fields when enrichment is enabled (description, descriptionHtml, descriptionMarkdown, descriptionLength, and details), and contact information (agentEmail, agentPhone, extractedEmails, and extractedPhones). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and contact information where the source provides them.

Input

The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• searchMode — Which listings to scrape. (default: "for_sale")
• searchLocations — One or more locations: "City, ST" (e.g. "Austin, TX"), a ZIP code (e.g. "78704"), or a neighborhood. Each is searched independently. Leave empty if you only use Start URLs.
• propertyTypes — Restrict to one or more property types. Leave empty for all types. (default: [])
• searchStatuses — Include additional statuses alongside active for-sale listings.
• keyword — Optional text that must appear in the listing (e.g. "pool", "waterfront").
• startUrls — Paste realtor.com search-result URLs (e.g. https://www.realtor.com/realestateandhomes-search/Austin_TX) or individual property URLs. Search URLs read their location + mode from the URL; the filters below still apply.
• maxResults — Maximum listings to return (0 = full coverage). Full coverage works even for very large markets. (default: 100)
• mode — Listings (default) or Agents — scrape the real-estate agent directory (name, broker, office, ratings, sales stats) for a location. (default: "listings")
• agentLocations — Agents mode only: locations to find agents in — "City, ST" (e.g. "Austin, TX") or a ZIP code. Each is searched independently.
• agentType — Agents mode: which side the agent represents. (default: "BUYER")
• agentLanguages — Agents mode: filter by spoken language (e.g. "spanish").
• enrichAgentContacts — Agents mode: fetch each agent's full contact profile — direct & office phone, website, office address, license number, and social media. On by default. (default: true)
• ...and 34 more parameters

Input examples

Homes for sale in a city — Search one or more locations (city + state, ZIP code, or neighborhood). Detail enrichment is on by default.

→ Full listing records with price, beds/baths, sqft, address + GPS, photos, agent, plus price/tax history, schools, flood risk, value estimates, and mortgage.

{
  "searchMode": "for_sale",
  "searchLocations": [
    "Austin, TX"
  ],
  "includeDetails": true,
  "maxResults": 100
}

Condos for rent with a price ceiling — Filter by mode, property type, location, and a maximum monthly rent.

→ Rental listings within the price band, each with beds/baths, sqft, address, and agent contact.

{
  "searchMode": "for_rent",
  "searchLocations": [
    "Miami, FL"
  ],
  "propertyTypes": [
    "condo"
  ],
  "priceMax": 3000,
  "maxResults": 100
}

Daily monitoring of a ZIP code — Re-run on a schedule to capture only new and changed listings in a ZIP code.

→ Records tagged NEW / UPDATED / EXPIRED against the previous run.

{
  "searchMode": "for_sale",
  "searchLocations": [
    "78704"
  ],
  "incrementalMode": true,
  "stateKey": "austin-78704-for-sale",
  "maxResults": 500
}

Compact output for AI pipelines — Return only the core comparison fields for a smaller, faster export — detail enrichment off.

→ Core fields only (id, URL, status, price, beds/baths, sqft, address, GPS) — ideal for large exports and LLM context.

{
  "searchMode": "for_sale",
  "searchLocations": [
    "Dallas, TX"
  ],
  "includeDetails": false,
  "compact": true,
  "maxResults": 100
}

Paste a search URL — Build the search you want on realtor.com, copy the result-page URL, and paste it. The location and mode are read from the URL.

→ The listings from exactly that search, merged and deduplicated.

{
  "startUrls": [
    "https://www.realtor.com/realestateandhomes-search/Seattle_WA"
  ],
  "maxResults": 100
}

Output

Each run produces a dataset of structured property records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example property record

{
  "listingId": "a6751a0df5a4aedb2550b276f01b5d191f753d0103ce629c9ae6f1567db8c532",
  "propertyId": "9806965207",
  "listingKey": "2997508304",
  "title": "610 Davis St Unit 4304, Austin, TX",
  "url": "https://www.realtor.com/realestateandhomes-detail/610-Davis-St-Unit-4304_Austin_TX_78701_M98069-65207",
  "portalUrl": "https://www.realtor.com/realestateandhomes-detail/610-Davis-St-Unit-4304_Austin_TX_78701_M98069-65207",
  "permalink": "610-Davis-St-Unit-4304_Austin_TX_78701_M98069-65207",
  "status": "for_sale",
  "statusDisplay": "for sale",
  "addressLine": "610 Davis St Unit 4304",
  "addressUnit": "Unit 4304",
  "streetNumber": "610",
  "streetName": "Davis",
  "streetSuffix": "St",
  "city": "Austin",
  "stateCode": "TX",
  "state": "Texas",
  "postalCode": "78701",
  "county": "Travis",
  "countyFips": "48453",
  "latitude": 30.260347,
  "longitude": -97.738564,
  "propertyType": "condos",
  "propertySubType": "condo",
  "beds": 3,
  "bathsTotal": 3.5,
  "bathsFull": 3,
  "bathsHalf": 1,
  "sqft": 2324,
  "stories": 1,
  "yearBuilt": 2025,
  "garage": 2,
  "listPrice": 3240000,
  "priceCurrency": "USD",
  "pricePerSqft": 1394,
  "daysOnMarket": 0,
  "listDate": "2026-06-20T16:18:01.000000Z",
  "lastUpdateDate": "2026-06-20T16:37:10Z",
  "hoaFee": 1789,
  "isNewListing": true,
  "isNewConstruction": true,
  "description": "This expansive northwest corner residence with 3 bedrooms, 3.5 baths + study on the 43rd floor of The Modern Austin Residences offers over 2,300 sqft of refined interior living space and a 222 sqft pr...",
  "descriptionLength": 1769,
  "tags": [
    "central_air",
    "central_heat",
    "city_view",
    "community_clubhouse",
    "community_outdoor_space",
    "community_park",
    "community_security_features",
    "community_spa_or_hot_tub",
    "dishwasher",
    "hardwood_floors",
    "lake_view",
    "laundry_room",
    "new_construction",
    "recreation_facilities",
    "view",
    "water_view",
    "community_swimming_pool",
    "single_story",
    "garage_1_or_more",
    "garage_2_or_more",
    "ensuite",
    "views",
    "lake",
    "trails",
    "wet_bar",
    "chefs_kitchen",
    "open_concept",
    "walk_in_closet",
    "balcony",
    "den",
    "soaking_tub",
    "park"
  ],
  "thumbnail": "http://ap.rdcpix.com/b014f7f5aeb7d0eced97a5b97e1be2a0l-m2176693882s.jpg",
  "photoCount": 36,
  "photos": [
    "http://ap.rdcpix.com/b014f7f5aeb7d0eced97a5b97e1be2a0l-m2176693882s.jpg",
    "http://ap.rdcpix.com/b014f7f5aeb7d0eced97a5b97e1be2a0l-m4140371794s.jpg",
    "http://ap.rdcpix.com/b014f7f5aeb7d0eced97a5b97e1be2a0l-m351204148s.jpg",
    "http://ap.rdcpix.com/b014f7f5aeb7d0eced97a5b97e1be2a0l-m3202454114s.jpg",
    "http://ap.rdcpix.com/b014f7f5aeb7d0eced97a5b97e1be2a0l-m3961784523s.jpg",
    "http://ap.rdcpix.com/b014f7f5aeb7d0eced97a5b97e1be2a0l-m3569491785s.jpg",
    "http://ap.rdcpix.com/b014f7f5aeb7d0eced97a5b97e1be2a0l-m3180779946s.jpg",
    "http://ap.rdcpix.com/b014f7f5aeb7d0eced97a5b97e1be2a0l-m485634804s.jpg",
    "http://ap.rdcpix.com/b014f7f5aeb7d0eced97a5b97e1be2a0l-m932408458s.jpg",
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  ],
  "agentName": "Kevin Burns",
  "agentEmail": "kevin@urbanspacerealtors.com",
  "agentPhone": "5128488722",
  "agentHref": "http://www.urbanspacerealtors.com",
  "officeName": "Urbanspace",
  "advertisers": [
    {
      "type": "seller",
      "name": "Kevin Burns",
      "email": "kevin@urbanspacerealtors.com",
      "phones": [
        "5128488722"
      ],
      "officeName": "Urbanspace",
      "href": "http://www.urbanspacerealtors.com"
    },
    {
      "type": "co_seller",
      "name": "Joanie Preston",
      "email": "ea@urbanspacelifestyle.com",
      "phones": [
        "5126261427"
      ],
      "officeName": "Urbanspace"
    }
  ],
  "propertyHistory": [
    {
      "date": "2026-06-20",
      "event": "Listed",
      "price": 3240000,
      "pricePerSqft": 1394.1480206540448,
      "sourceName": "UnlockMLS"
    },
    {
      "date": "2026-05-16",
      "event": "Listing removed",
      "price": 0,
      "sourceName": "UnlockMLS"
    },
    {
      "date": "2025-12-18",
      "event": "Price Changed",
      "price": 3085000,
      "pricePerSqft": 1327.4526678141135,
      "sourceName": "UnlockMLS"
    },
    {
      "date": "2025-11-25",
      "event": "Price Changed",
      "price": 3500000,
      "pricePerSqft": 1506.0240963855422,
      "sourceName": "UnlockMLS"
    },
    {
      "date": "2025-11-06",
      "event": "Listed",
      "price": 3630000,
      "pricePerSqft": 1561.962134251291,
      "sourceName": "UnlockMLS"
    }
  ],
  "estimateCurrent": 3465000,
  "estimateHigh": 4123400,
  "estimateLow": 2806700,
  "estimateBest": 3465000,
  "estimateBestSource": "Collateral Analytics",
  "estimates": [
    {
      "source": "Collateral Analytics",
      "estimate": 3465000,
      "estimateHigh": 4123400,
      "estimateLow": 2806700,
      "date": "2026-05-15"
    },
    {
      "source": "Quantarium",
      "estimate": 2876794,
      "estimateHigh": 3078169,
      "estimateLow": 2675418,
      "date": "2026-06-17"
    }
  ],
  "mortgageMonthlyPayment": 25122,
  "mortgagePropertyTaxRate": 0.0196,
  "neighborhoods": [
    {
      "name": "Central Austin",
      "slug": "Central-Austin_Austin_TX",
      "medianListingPrice": 642500,
      "medianDaysOnMarket": 66
    },
    {
      "name": "Downtown Austin",
      "slug": "Downtown-Austin_Austin_TX",
      "medianListingPrice": 792000,
      "medianDaysOnMarket": 80
    },
    {
      "name": "Rainey Street District",
      "slug": "Rainey-Street-District_Austin_TX",
      "medianListingPrice": 1093300,
      "medianDaysOnMarket": 97
    }
  ],
  "schools": [
    {
      "name": "Mathews Elementary School",
      "rating": 10,
      "fundingType": "public",
      "educationLevels": [
        "elementary"
      ],
      "distanceMiles": 1.8
    },
    {
      "name": "Austin High School",
      "rating": 7,
      "fundingType": "public",
      "educationLevels": [
        "high"
      ],
      "distanceMiles": 1.9
    },
    {
      "name": "O Henry Middle School",
      "rating": 6,
      "fundingType": "public",
      "educationLevels": [
        "middle"
      ],
      "distanceMiles": 2.8
    },
    {
      "name": "Austin City Academy",
      "fundingType": "private",
      "educationLevels": [
        "elementary",
        "middle",
        "high"
      ],
      "distanceMiles": 0.5
    }
  ],
  "details": {
    "Bedrooms": [
      "Bedrooms: 3",
      "Bedrooms On Main Level: 3"
    ],
    "Bathrooms": [
      "Total Bathrooms: 4",
      "Full Bathrooms: 3",
      "1/2 Bathrooms: 1"
    ],
    "Interior Features": [
      "Two Primary Baths",
      "Two Primary Suties",
      "Bar",
      "Quartz Counters",
      "Double Vanity",
      "High Speed Internet",
      "Kitchen Island",
      "Multiple Living Areas",
      "No Interior Steps",
      "Walk-In Closet(s)",
      "Wet Bar",
      "Flooring: Tile, Wood"
    ],
    "Appliances": [
      "Cooktop",
      "Dishwasher",
      "Oven",
      "Refrigerator",
      "Wine Refrigerator",
      "Laundry Features: Laundry Room"
    ],
    "Heating and Cooling": [
      "Cooling Features: Central Air",
      "Heating Features: Central",
      "Heating: Yes",
      "Number of Fireplaces: 0"
    ],
    "Exterior and Lot Features": [
      "Balcony"
    ],
    "Garage and Parking": [
      "Covered Spaces: 2",
      "Garage Spaces: 2",
      "Parking Features: Garage, Gated, Reserved",
      "Parking Total: 2"
    ],
    "Land Info": [
      "Lot Description: City Lot"
    ],
    "Home Features": [
      "View: City, Hill Country, Lake, Panoramic, Skyline, Water",
      "Security Features: Fire Alarm, Key Card Entry, Secured Garage/Parking, Smoke Detector(s)"
    ],
    "Homeowners Association": [
      "Association: Yes",
      "Association Fee: 1789",
      "Association Fee Frequency: Monthly",
      "Association Fee Includes: Common Area Maintenance, Maintenance Structure, Sewer, Trash",
      "Calculated Total Monthly Association Fees: 1789",
      "Association Name: The Modern Austin Residences"
    ],
    "School Information": [
      "Elementary School: Mathews",
      "High School: Austin",
      "High School District: Austin ISD",
      "Middle School: O Henry",
      "School District: Austin ISD"
    ],
    "Amenities and Community Features": [
      "Community Features: BBQ Pit/Grill, Bike Storage/Locker, Cluster Mailbox, Common Grounds, Concierge, Conference/Meeting Room, Controlled Access, Dog Park, Fitness Center, Garage Parking, High Speed Int..."
    ],
    "Other Property Info": [
      "Source Listing Status: Active",
      "County: Travis",
      "Directions: From Mopac exit Cesar Chavez, right on Red River, left on Davis.",
      "Tax Year: 2025",
      "Restrictions: Lease",
      "Source Property Type: Residential",
      "Area: DT",
      "Property Subtype: condo",
      "Source Neighborhood: The Modern Austin Residences",
      "Ownership Type: Common",
      "Parcel Number: 1001933",
      "Subdivision: The Modern Austin Residences",
      "Property Subtype: Condominium"
    ],
    "Building and Construction": [
      "Total Square Feet Living: 2324",
      "Year Built: 2025",
      "Builder Name: Flintco",
      "Direction Faces: Northwest",
      "Levels: One",
      "Living Area Source: Builder",
      "New Construction: Yes",
      "Property Age: 1",
      "Property Condition: New Construction",
      "Levels or Stories: One",
      "House Style: Single level Floor Plan, Tower (14+ Stories)",
      "Total Area Sqft: 2324",
      "Year Built Source: Builder"
    ],
    "Utilities": [
      "Sewer: Public Sewer",
      "Cable Available",
      "Electricity Available",
      "High Speed Internet",
      "Phone Available",
      "Sewer Available",
      "Water Available",
      "Water Source: Public"
    ]
  },
  "sourceName": "AUTX",
  "sourceListingId": "2997508304",
  "sourceType": "mls",
  "sourceDomain": "realtor.com",
  "searchLocation": "Austin, TX",
  "scrapedAt": "2026-06-20T18:06:42.635Z",
  "contentQuality": "full",
  "contentHash": "48ff9cec1db3cc807a037efb082c654ffce87ed86c359ca9ca50deb5c3c84843",
  "trackedHash": "d1e0b223a06de4c96bec0331a56ae5999549cc8434404703483d3ae5b7d0b3b1"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape Realtor.com

1. Go to Realtor Scraper in Apify Console.
2. Enter a search keyword.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract property data from Realtor.com for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape Realtor.com?

Realtor Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.003 per run
• Per property (primary event): $0.0012

You are billed only for the events your run actually triggers. Prices below are the Free plan tier.

Event	Price (Free tier)	Charged when
Actor Start	$0.003 (one-time)	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
Result (primary)	$0.0012	Single listing in the default dataset.
Detail enrichment	$0.0008	Charged per listing enriched with full detail (price/tax history, schools, flood risk, value estimates, mortgage). Only when Include Detail Enrichment is on.
Email match	$0.002	Charged per listing where a contact email was discovered. Only when Discover Contact Emails is on.

Example costs (primary event only — other events above add cost when they fire):

• 10 results: $0.015
• 25 results: $0.033
• 100 results: $0.12
• 200 results: $0.24
• 500 results: $0.6

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Numbers below are for the primary Result event. Other events (Detail enrichment, Email match) are billed separately when they fire.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.30	$0.02	$0.28 (94%)	$0.54
15% — moderate broad query	$0.30	$0.05	$0.26 (84%)	$1.44
30% — high-volume aggregator	$0.30	$0.09	$0.21 (69%)	$2.79

Full re-scrape monthly cost at daily polling: $9.09. First month with incremental costs $0.82 / $1.70 / $3.00 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.

FAQ

How many results can I get from Realtor.com?

The number of results depends on the search query and available listings on Realtor.com. Use the maxResults parameter to control how many results are returned per run.

Does Realtor Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Realtor Scraper with other apps?

Yes. Realtor Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Realtor Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Realtor Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape Realtor.com?

This actor extracts publicly available data from Realtor.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.