Realtor.com Scraper

Slug: fatihtahta/realtor-com-scraper

Overview

Realtor.com Scraper collects structured residential real estate listing data, including property identifiers, listing URLs, prices, addresses, room counts, lot and building attributes, listing status, media, agent or office contact details, and source metadata when available. Realtor.com is a major U.S. real estate marketplace, making its public listing data useful for market analysis, inventory monitoring, lead enrichment, and operational reporting. The actor converts location-based searches and supported listing filters into repeatable JSON output that is easier to use in analytics tools, data pipelines, and business applications. It is designed for recurring data acquisition workflows where consistent structure, clear input controls, and predictable dataset delivery matter. Availability and field coverage depend on what Realtor.com publicly exposes at run time.

Why Use This Actor

• Market research and analytics: collect structured extraction results for market intelligence, pricing analysis, inventory trend tracking, and geographic comparison.
• Product and content teams: use normalized listing data to support property experiences, editorial research, content operations, or location-based feature planning.
• Developers and data engineering teams: feed repeatable collection output into downstream systems, ETL jobs, data warehouses, and enrichment pipelines.
• Lead generation and enrichment teams: build or enrich prospect datasets with public property, agent, office, and listing attributes.
• Monitoring and competitive tracking teams: schedule recurring runs to monitor listing changes, availability, price movement, property segments, and operational reporting inputs.

Common Use Cases

• Market intelligence: monitor supply, pricing, availability, property characteristics, listing locations, and category movement across U.S. markets.
• Lead generation: build targeted prospect lists from public property listings, agent records, offices, and listing source details.
• Competitive monitoring: track property availability, price reductions, builder promotions, luxury inventory, or rental market movement.
• Catalog and directory building: populate internal databases with structured public real estate records and searchable property attributes.
• Data enrichment: add current public listing details to CRM, BI, underwriting, investment, or analytics datasets.
• Recurring reporting: schedule periodic runs for dashboards, alerts, geographic comparisons, or trend analysis.

Quick Start

1. Add one or more U.S. search locations in location, such as a city, neighborhood, ZIP code, state, or regional term.
2. Choose the listing category with deal_type: buy, rent, or sold.
3. Set a small limit for the first validation run, such as 25 or 50 results per location.
4. Run the actor in Apify Console.
5. Inspect the first dataset records to confirm the fields, coverage, and listing type match your use case.
6. Increase coverage, add filters, enable richer details with enrich_data, or schedule the actor after the output is verified.

Input Parameters

The actor accepts location-based Realtor.com searches with optional listing category, property profile, timing, pricing, size, age, amenity, and collection controls.

Parameter	Type	Description	Default
location	array of strings	Search locations. Add each U.S. city, neighborhood, ZIP code, state, or regional term as a separate item. At least one location is required for normal collection.	–
deal_type	string	Listing category. Allowed values: buy for for-sale listings, rent for rental listings, sold for sold listings.	buy
property_type	array of strings	Property categories to include. Allowed values: house, condo, townhome, multi_family, mobile, land, farm. Leave empty to include all available property types.	–
listing_status	string	Listing status filter. Allowed values: active, pending_contingent. Leave empty to avoid narrowing by status.	–
home_tours	array of strings	Tour availability filter. Allowed values: open_house, 3d_tour, virtual_tour.	–
internal_amenities	array of strings	Interior amenity filters. Allowed values: accessibility, basement, central_air, central_heat, den_office, dining_room, elevator, energy_efficient, family_room, fireplace, forced_air, game_room, hardwood_floors, in_home_laundry.	–
external_amenties	array of strings	Outdoor amenity filters. Allowed values: carport, corner_lot, cul_de_sac, golf_course_lot, horse_facility, pool, rv_boat_parking, spa_hot_tub.	–
views	array of strings	View and waterfront filters. Allowed values: city_view, golf_view, hill_view, lake_view, ocean_view, river_view, water_front.	–
community	array of strings	Community amenity filters. Allowed values: community_55_plus, boat_facility, clubhouse, golf_course, horse_facility, park, pool, recreation_facility, security_feature, spa_hot_tub, tennis_court.	–
expand_radius	string	Search radius around each location, in miles. Allowed values: 1, 2, 5, 10, 25, 50. Leave empty to use the standard location boundary.	–
max_hoa_fee	string	Maximum monthly HOA fee. Allowed values: no_fee, 50, 100, 200, 300, 400, 500, 750, 1000, 1500, 2000, 2500, 3000. Values are USD per month.	–
building_type	string	Building format filter. Allowed values: house, row_townhouse, apartment, duplex, triplex, fourplex, garden_home, mobile_home, manufactured_home_mobile, special_purpose, residential_commercial_mix, manufactured_home, commercial_apartment, two_apartment_house, park_model_mobile_home, floathome.	–
publication_date	string	Listing freshness window. Allowed values: 24_hours, 7_days, 14_days, 21_days, 30_days.	–
keyword	string	Text term or phrase used to focus results on matching listings.	–
open_house_only	boolean	Collect only listings with open house availability in the next 7 days.	false
live_stream_only	boolean	Collect only listings with live stream open house availability in the next 7 days.	false
price_reduced	boolean	Collect only listings marked as price reduced.	false
builder_promotions	boolean	Collect only listings with builder promotions.	false
min_parking	string	Minimum garage spaces. Allowed values: 1, 2, 3, representing 1+, 2+, or 3+ spaces.	–
storey	string	Storey layout. Allowed values: single_story, two_or_more_stories.	–
maximize_coverage	boolean	Collect more matching listings for larger searches where broader coverage is preferred.	false
enrich_data	boolean	Collect richer property listing details, such as full descriptions, detailed features, photo galleries, agent details, and listing source metadata when available.	false
min_bedroom	string	Minimum bedrooms. Allowed values: studio, 1, 2, 3, 4, 5.	–
max_bedroom	string	Maximum bedrooms. Allowed values: studio, 1, 2, 3, 4, 5.	–
min_bathroom	string	Minimum bathrooms. Allowed values: 1, 2, 3, 4, 5.	–
max_bathroom	string	Maximum bathrooms. Allowed values: 1, 2, 3, 4, 5.	–
bedroom_count	string	Exact or minimum bedroom count. Allowed values: 1+, 2+, 3+, 4+, 5+, 1, 2, 3, 4, 5.	–
bathroom_count	string	Exact or minimum bathroom count. Allowed values: 1+, 2+, 3+, 4+, 5+, 1, 2, 3, 4, 5.	–
limit	integer	Maximum listings to save per location. Minimum value: 1. Leave empty to collect as many matching listings as the run can retrieve.	–
min_price	integer	Minimum asking price in USD. Minimum value: 0.	–
max_price	integer	Maximum asking price in USD. Minimum value: 0.	–
min_building_area	string	Minimum building area in square feet. Allowed values: 500, 750, 1000, 1250, 1500, 1750, 2000, 2250, 2500, 2750.	–
max_building_area	string	Maximum building area in square feet. Allowed values: 2250, 2500, 2750, 3000, 3250, 3500, 3750, 5000, 7500, 10000.	–
min_land_area	string	Minimum lot size. Allowed values: 2000, 3000, 4000, 5000, 7500, 10890, 21780, 43560, 87120, 217800, 435600, 653400, 871200, 2178000, 4356000. Values are square feet, with common acre equivalents shown in the input UI.	–
max_land_area	string	Maximum lot size. Allowed values: 2000, 3000, 4000, 5000, 7500, 10890, 21780, 43560, 87120, 217800, 435600, 653400, 871200, 2178000, 4356000. Values are square feet, with common acre equivalents shown in the input UI.	–
min_building_age	string	Minimum building age in years. Allowed values: 1, 3, 5, 10, 15, 20, 25, 30, 50, 75, 100.	–
max_building_age	string	Maximum building age in years. Allowed values: 1, 3, 5, 10, 15, 20, 25, 30, 50, 75, 100.	–
min_year_built	string	Earliest year built. Allowed values: 2026, 2025, 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2010, 2005, 2000, 1990, 1980, 1970, 1960, 1950, 1940, 1930, 1920, 1910, 1900.	–
max_year_built	string	Latest year built. Allowed values: 2026, 2025, 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2010, 2005, 2000, 1990, 1980, 1970, 1960, 1950, 1940, 1930, 1920, 1910, 1900.	–

Choosing Inputs

Start with the smallest input set that represents your target scope: one or more location values, a deal_type, and a conservative limit. Broader locations and fewer filters improve discovery, while narrower filters produce more targeted datasets for a specific segment, price band, property profile, or monitoring workflow. Use publication_date, price_reduced, open_house_only, and builder_promotions when freshness or listing events matter. Use min_price, max_price, room counts, area, lot size, building age, and amenity filters when the output needs to match a clearly defined property profile. Increase limit, enable maximize_coverage, or turn on enrich_data only after validating that the output shape and coverage match your downstream needs.

Example Inputs

Example: For-sale listings in one market

{
  "location": ["Austin, TX"],
  "deal_type": "buy",
  "property_type": ["house", "townhome"],
  "min_price": 500000,
  "max_price": 1200000,
  "limit": 50
}

Example: Recent rental monitoring

{
  "location": ["10001", "Brooklyn, NY"],
  "deal_type": "rent",
  "publication_date": "7_days",
  "min_bedroom": "1",
  "max_price": 4500,
  "limit": 75
}

Example: Broad discovery with richer records

{
  "location": ["Dallas, TX"],
  "deal_type": "buy",
  "property_type": ["house"],
  "maximize_coverage": true,
  "enrich_data": true,
  "limit": 100
}

Output

Output Destination

The actor writes results to an Apify dataset as JSON records. The dataset is designed for direct consumption by analytics tools, ETL pipelines, and downstream APIs with minimal post-processing.

When multiple entity types or record shapes exist, this README documents each shape separately based on the provided Example Output. The example output provided for this actor contains one property listing record shape.

Record Envelope And Stable Identifiers

Each dataset item is a property listing record. The strongest stable identifier shown in the example is id, which matches property_id; listing_id identifies the specific listing record associated with that property. Recommended idempotency key: use id for property-level upserts, or id + listing_id when your workflow needs to preserve distinct listing instances over time.

Use the recommended key for deduplication and upserts when syncing repeated runs into warehouses, CRMs, search indexes, or operational databases. Stable identifiers make records easier to merge, deduplicate, compare, and sync across recurring runs. The example also includes source_context, which records the input context and detail URL associated with the collected record.

Examples

Example: property listing record

{
  "id": "9287164194",
  "property_id": "9287164194",
  "listing_id": "2978732073",
  "url": "https://www.realtor.com/realestateandhomes-detail/5619-Walnut-Hill-Ln_Dallas_TX_75229_M92871-64194",
  "title": "5619 Walnut Hill Ln, Dallas, TX, 75229",
  "property_type": "single_family",
  "status": "for_sale",
  "pricing": {
    "display_price": "$64,000,000",
    "list_price": 64000000,
    "currency": "USD",
    "last_sold_date": "1998-04-09T00:00:00",
    "price_per_sqft": 2362,
    "hoa_fee": 0,
    "estimates": {
      "current_values": [
        {
          "estimate": 39777100,
          "is_best_home_value": true
        }
      ]
    },
    "mortgage": {
      "property_tax_rate": 0.01254008,
      "closing_cost": 2560000,
      "closing_cost_rate": "4%",
      "due_at_close": 15360000,
      "insurance_rate": 0.0109,
      "county_fha_loan_limit": 563500,
      "is_listing_price_eligible_for_fha": false,
      "is_listing_price_jumbo_loan": true,
      "average_rates": [
        {
          "rate": 0.06319,
          "loan": {
            "id": "thirty_year_fix",
            "display_name": "30-year fixed",
            "term": 30,
            "is_va_loan": false
          }
        },
        {
          "rate": 0.06156,
          "loan": {
            "id": "twenty_year_fix",
            "display_name": "20-year fixed",
            "term": 20,
            "is_va_loan": false
          }
        },
        {
          "rate": 0.05464,
          "loan": {
            "id": "fifteen_year_fix",
            "display_name": "15-year fixed",
            "term": 15,
            "is_va_loan": false
          }
        },
        {
          "rate": 0.0531,
          "loan": {
            "id": "ten_year_fix",
            "display_name": "10-year fixed",
            "term": 10,
            "is_va_loan": false
          }
        },
        {
          "rate": 0.05674,
          "loan": {
            "id": "thirty_year_fha",
            "display_name": "30-year fixed FHA",
            "term": 30,
            "is_va_loan": false
          }
        },
        {
          "rate": 0.05768,
          "loan": {
            "id": "thirty_year_va",
            "display_name": "30-year fixed VA",
            "term": 30,
            "is_va_loan": true
          }
        },
        {
          "rate": 0.05938,
          "loan": {
            "id": "five_one_arm",
            "display_name": "5-year ARM",
            "term": 30,
            "is_va_loan": false
          }
        },
        {
          "rate": 0.0608,
          "loan": {
            "id": "seven_one_arm",
            "display_name": "7-year ARM",
            "term": 30,
            "is_va_loan": false
          }
        }
      ],
      "monthly_payment": 442561,
      "monthly_payment_details": [
        {
          "amount": 317548,
          "display_name": "Principal & interest",
          "type": "principal_and_interest"
        },
        {
          "amount": 58133,
          "display_name": "Home insurance",
          "type": "home_insurance"
        },
        {
          "amount": 0,
          "display_name": "HOA fees",
          "type": "hoa_fees"
        },
        {
          "amount": 0,
          "display_name": "Mortgage insurance",
          "type": "mortgage_insurance"
        },
        {
          "amount": 66880,
          "display_name": "Property tax",
          "type": "property_tax"
        }
      ],
      "average_rate": {
        "rate": 0.06319,
        "loan_term": 30
      }
    }
  },
  "location": {
    "address": "5619 Walnut Hill Ln",
    "city": "Dallas",
    "state": "Texas",
    "state_code": "TX",
    "postal_code": "75229",
    "country": "USA",
    "county": "Dallas",
    "county_fips": "48113",
    "street_view_url": "https://maps.googleapis.com/maps/api/streetview?channel=rdc-streetview&key=AIzaSyAP_xs30yS0J4xp8O1ZKUrUttIXKklrwaM&location=5619+Walnut+Hill+Ln%2C+Dallas%2C+TX+75229&signature=xsEG1JCUT_pxgvDDiLm9tTUw5G8%3D&size=950x428&source=outdoor",
    "coordinates": {
      "latitude": 32.882056,
      "longitude": -96.810164
    },
    "street_number": "5619",
    "street_name": "Walnut Hill",
    "street_suffix": "Ln",
    "validation_code": "121",
    "street_view_metadata_url": "https://maps.googleapis.com/maps/api/streetview/metadata?channel=rdc-streetview&key=AIzaSyAP_xs30yS0J4xp8O1ZKUrUttIXKklrwaM&location=5619+Walnut+Hill+Ln%2C+Dallas%2C+TX+75229&signature=5nhYMy2o16yOCdzdUKoFCOSRadI%3D&size=640x480&source=outdoor",
    "search_areas": [
      {
        "city": "dallas",
        "state_code": "tx"
      }
    ],
    "city_metadata": {
      "slug_id": "Dallas_TX",
      "county_needed_for_uniq": false
    },
    "neighborhoods": [
      "Preston Hollow",
      "Northwest Dallas"
    ],
    "postal_market_badge": "Hot"
  },
  "property": {
    "beds": 10.0,
    "baths": 17.0,
    "baths_consolidated": "12.5+",
    "sqft": 27092,
    "lot_sqft": 683326,
    "year_built": 1938,
    "garage": 7,
    "sold_date": "1998-04-09",
    "description": "A symbol of an era, a setting for the future Dallas most legendary estate is ready for its next chapter. Since 1938, the prestigious Crespi Estate has hosted presidents, dignitaries and icons like Coco Chanel and the Duke and Duchess of Windsor. Designed by Swiss architect Maurice Fatio for Italian count Pio Crespi, this palatial French-style chateau blends intimacy with grandeur across more than 27, 000 square feet. With 10 bedrooms, 12.5 baths, a ballroom, an Art Deco bar, two wine cellars, a conservatory, a library imported from France, a media room and a 3, 000-square-foot primary suite, luxury is everywhere. Enhancements by noted architect Peter Marino include an elegant 3, 300-plus-square-foot guesthouse and a remarkable 4, 800-plus-square-foot entertainment pavilion with a 19-seat theatre. The three adjacent lots are included in the listing, making a total of 15.687 acres. The grounds feature a swimming pool and spa, tennis and bocce ball courts, gardens, greenhouses, a creek and a heliport. A rare opportunity to own a Dallas masterpiece.",
    "baths_full": 12.0,
    "baths_half": 5.0,
    "stories": 3.0
  },
  "features": {
    "details": [
      {
        "category": "Bedrooms",
        "items": [
          "Bedrooms: 10"
        ],
        "parent_category": "Interior"
      },
      {
        "category": "Other Rooms",
        "items": [
          "Total Rooms: 15",
          "Bedroom-Primary: 26.00 x 34.00",
          "Bedroom-Primary Level: 2",
          "Bedroom-Primary Features: Custom Closet System, Dual Primary Baths, Ensuite Bath, Fireplace, Garden Tub, Linen Closet, Separate Shower, Separate Vanities, Shower Body Sprays, Sitting Area in Primary, Walk-in Closet(s)",
          "Bedroom: 17.00 x 22.00",
          "Bedroom Level: 2",
          "Bedroom Features: Ensuite Bath, Walk-in Closet(s)",
          "Bedroom: 17.00 x 20.00",
          "Bedroom Level: 2",
          "Bedroom Features: Ensuite Bath, Walk-in Closet(s)",
          "Bedroom: 20.00 x 22.00",
          "Bedroom Level: 3",
          "Bedroom Features: Ensuite Bath, Walk-in Closet(s)",
          "Utility Room: 16.00 x 14.00",
          "Utility Room Level: 1",
          "Utility Room Features: Built-in Cabinets, Dual Sinks, Other, Room for Freezer, Separate Utility Room, Sink in Utility",
          "Living Room: 20.00 x 33.00",
          "Living Room Level: 1",
          "Library: 46.00 x 26.00",
          "Library Level: 1",
          "Dining Room: 16.00 x 16.00",
          "Dining Room Level: 1",
          "Exercise Room: 25.00 x 19.00",
          "Exercise Room Level: 3",
          "Family Room Dimensions: 33.0 x 22.0",
          "Living Room Dimensions: 26.0 x 46.0",
          "Media Room Dimensions: 16.0 x 25.0",
          "Office/Study Room Dimensions: 20.0 x 19.0",
          "Family Room Level: 1",
          "Living Room Level: 1",
          "Media Room Level: B",
          "Office/Study Room Level: 1"
        ],
        "parent_category": "Interior"
      },
      {
        "category": "Bathrooms",
        "items": [
          "Total Bathrooms: 17",
          "Full Bathrooms: 12",
          "1/2 Bathrooms: 5"
        ],
        "parent_category": "Interior"
      },
      {
        "category": "Interior Features",
        "items": [
          "Built-in Features",
          "Built-in Wine Cooler",
          "Cathedral Ceiling(s)",
          "Cedar Closet(s)",
          "Chandelier",
          "Decorative Lighting",
          "Double Vanity",
          "Eat-in Kitchen",
          "Elevator",
          "Flat Screen Wiring",
          "Granite Counters",
          "High Speed Internet Available",
          "Kitchen Island",
          "Multiple Staircases",
          "Natural Woodwork",
          "Open Floorplan",
          "Paneling",
          "Pantry",
          "Smart Home System",
          "Sound System Wiring",
          "Vaulted Ceiling(s)",
          "Wainscoting",
          "Walk-In Closet(s)",
          "Wet Bar",
          "Flooring: Carpet, Hardwood, Marble, Stone, Tile, Wood",
          "Window Features: Electric Shades, Skylights(s), Window Coverings"
        ],
        "parent_category": "Interior"
      },
      {
        "category": "Appliances",
        "items": [
          "Built-in Refrigerator",
          "Commercial Grade Range",
          "Commercial Grade Vent",
          "Dishwasher",
          "Disposal",
          "Electric Water Heater",
          "Gas Range",
          "Gas Water Heater",
          "Ice Maker",
          "Microwave",
          "Convection Oven",
          "Double Oven",
          "Plumbed For Gas in Kitchen",
          "Refrigerator",
          "Vented Exhaust Fan",
          "Laundry Features: Electric Dryer Hookup, Utility Room, Full Size W/D Area, Washer Hookup"
        ],
        "parent_category": "Interior"
      },
      {
        "category": "Heating and Cooling",
        "items": [
          "Cooling Features: Ceiling Fan(s), Central Air, Gas, Multi Units, Zoned",
          "Fireplace Features: Bedroom, Dining Room, Family Room, Fire Pit, Gas Logs, Gas Starter, Great Room, Library, Living Room, Masonry, Master Bedroom, Outside, Recreation Room, Stone, Wood Burning",
          "Heating Features: ENERGY STAR Qualified Equipment, Fireplace(s), Natural Gas, Zoned",
          "Number of Fireplaces: 11"
        ],
        "parent_category": "Interior"
      },
      {
        "category": "Kitchen and Dining",
        "items": [
          "Dining Room Dimensions: 20.0 x 30.0",
          "Dining Room Level: 1",
          "Kitchen Dimensions: 26.0 x 18.0",
          "Kitchen Features: Breakfast Bar, Built-in Cabinets, Dual Sinks, Eat-in Kitchen, Farm Sink, Kitchen Island, Natural Stone/Granite Type, Pantry, Room for Freezer, Second Sink, Water Line to Refrigerator",
          "Kitchen Level: 1"
        ],
        "parent_category": "Interior"
      },
      {
        "category": "Exterior and Lot Features",
        "items": [
          "Attached Grill",
          "Balcony",
          "Covered Patio/Porch",
          "Fire Pit",
          "Garden(s)",
          "Gas Grill",
          "Rain Gutters",
          "Lighting",
          "Outdoor Grill",
          "Outdoor Kitchen",
          "Outdoor Living Center",
          "Playground",
          "Private Entrance",
          "Private Landing Strip",
          "Sport Court",
          "Storage",
          "Tennis Court(s)",
          "Fencing: Block, Gate, Masonry, Perimeter, Security, Wood",
          "Other Structures: Greenhouse, Guest House, Outdoor Kitchen, Pool House, Poultry Coop, Separate Entry Quarters, Tennis Court(s)",
          "Patio And Porch Features: Covered, Front Porch, Patio, Rear Porch, Roof Top Deck/Patio, Side Porch, Terrace"
        ],
        "parent_category": "Exterior"
      },
      {
        "category": "Pool and Spa",
        "items": [
          "Pool Features: Cabana, Diving Board, Fenced, Gunite, Heated, In Ground, Lap, Outdoor Pool, Separate Spa/Hot Tub, Water Feature",
          "Spa: Yes"
        ],
        "parent_category": "Exterior"
      },
      {
        "category": "Waterfront and Water Access",
        "items": [
          "Creek"
        ],
        "parent_category": "Exterior"
      },
      {
        "category": "Land Info",
        "items": [
          "Acreage",
          "Landscaped",
          "Lrg. Backyard Grass",
          "Many Trees",
          "Sprinkler System",
          "Water/Lake View",
          "Lot Description: 10 to < 50 Acres",
          "Lot Size Acres: 15.687",
          "Vegetation: Cleared, Grassed, Wooded",
          "Lot Size Square Feet: 683326"
        ],
        "parent_category": "Exterior"
      },
      {
        "category": "Garage and Parking",
        "items": [
          "Attached Garage: Yes",
          "Covered Spaces: 7",
          "Garage Spaces: 7",
          "Parking Features: Additional Parking, Circular Driveway, Covered, Drive Through, Electric Gate, Garage, Garage Door Opener, Gated, Gravel, Kitchen Level, Paver Block, Side By Side"
        ],
        "parent_category": "Exterior"
      },
      {
        "category": "Homeowners Association",
        "items": [
          "Association: No",
          "Calculated Total Monthly Association Fees: 0"
        ],
        "parent_category": "Community"
      },
      {
        "category": "School Information",
        "items": [
          "Elementary School: Pershing",
          "High School: Hillcrest",
          "Middle School: Benjamin Franklin",
          "School District: Dallas ISD"
        ],
        "parent_category": "Community"
      },
      {
        "category": "Other Property Info",
        "items": [
          "Tax Block: 5516",
          "Source Listing Status: Active",
          "County: Dallas",
          "Directions: See GPS. Entry off Walnut Hill Ln on the North side West of Dallas North Tollway.",
          "Source Property Type: Residential",
          "Exclusions: See agent.",
          "Source Neighborhood: Crespi Estates",
          "Parcel Number: 005516000001F0000",
          "Postal Code Plus 4: 6625",
          "Subdivision: Crespi Estates",
          "Property Subtype: Single Family Residence",
          "Source System Name: C2C"
        ],
        "parent_category": "Listing"
      },
      {
        "category": "Building and Construction",
        "items": [
          "Total Square Feet Living: 27092",
          "Year Built: 1938",
          "Construction Materials: Block, Rock/Stone",
          "Foundation Details: Concrete Perimeter, Pillar/Post/Pier, Slab",
          "Levels: Three Or More",
          "Property Age: 88",
          "Roof: Slate",
          "Structure Type: Single Detached",
          "Year Built Details: Preowned",
          "Architectural Style: French, Traditional"
        ],
        "parent_category": "Features"
      },
      {
        "category": "Accessibility Features",
        "items": [
          "Accessibility Features: Accessible Elevator Installed",
          "Disabled Access: Yes"
        ],
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            "items": [
              "Total Bathrooms: 17",
              "Full Bathrooms: 12",
              "1/2 Bathrooms: 5"
            ]
          }
        ],
        "photos": [
          {
            "url": "https://ap.rdcpix.com/3c5eb09783d54a04a72741485148220el-m3429079865s.jpg",
            "tag": "bathroom"
          }
        ]
      },
      {
        "key": "more",
        "category": "More",
        "photo_count": 10,
        "details": [
          {
            "sub_category": "Garage and Parking",
            "items": [
              "Attached Garage: Yes",
              "Covered Spaces: 7",
              "Garage Spaces: 7",
              "Parking Features: Additional Parking, Circular Driveway, Covered, Drive Through, Electric Gate, Garage, Garage Door Opener, Gated, Gravel, Kitchen Level, Paver Block, Side By Side"
            ]
          }
        ],
        "photos": [
          {
            "url": "https://ap.rdcpix.com/3c5eb09783d54a04a72741485148220el-m889614905s.jpg",
            "tag": "more"
          },
          {
            "url": "https://ap.rdcpix.com/3c5eb09783d54a04a72741485148220el-m1822914379s.jpg",
            "tag": "more"
          },
          {
            "url": "https://ap.rdcpix.com/3c5eb09783d54a04a72741485148220el-m1251248938s.jpg",
            "tag": "more"
          },
          {
            "url": "https://ap.rdcpix.com/3c5eb09783d54a04a72741485148220el-m1201180959s.jpg",
            "tag": "more"
          },
          {
            "url": "https://ap.rdcpix.com/3c5eb09783d54a04a72741485148220el-m1847450423s.jpg",
            "tag": "more"
          },
          {
            "url": "https://ap.rdcpix.com/3c5eb09783d54a04a72741485148220el-m1405800610s.jpg",
            "tag": "more"
          },
          {
            "url": "https://ap.rdcpix.com/3c5eb09783d54a04a72741485148220el-m3804332889s.jpg",
            "tag": "more"
          },
          {
            "url": "https://ap.rdcpix.com/3c5eb09783d54a04a72741485148220el-m2046419218s.jpg",
            "tag": "more"
          },
          {
            "url": "https://ap.rdcpix.com/3c5eb09783d54a04a72741485148220el-m2379643563s.jpg",
            "tag": "more"
          },
          {
            "url": "https://ap.rdcpix.com/3c5eb09783d54a04a72741485148220el-m1922178402s.jpg",
            "tag": "more"
          }
        ]
      }
    ],
    "home_tours": {
      "virtual_tours": [
        {
          "url": "https://www.propertypanorama.com/instaview/ntreis/20854653",
          "type": "website",
          "category": "virtual_tour"
        }
      ]
    }
  },
  "source": {
    "permalink": "5619-Walnut-Hill-Ln_Dallas_TX_75229_M92871-64194",
    "property_id": "9287164194",
    "id": "NTTX",
    "name": "NTREIS",
    "type": "mls",
    "source_listing_id": "20854653",
    "list_date": "2025-02-26T19:21:41Z",
    "last_update_date": "2025-12-28T09:33:31Z",
    "raw": {
      "status": "Active"
    },
    "agents": [
      {
        "agent_id": "0613487",
        "name": "Pogir Pogir",
        "source_id": "NTTX",
        "office_id": "BRIG01",
        "type": "seller"
      },
      {
        "agent_id": "0555105",
        "source_id": "NTTX",
        "type": "co_seller"
      }
    ],
    "disclaimer": {
      "text": "©2026 North Texas Real Estate Information Systems, Inc. All rights reserved."
    },
    "other_listings": {
      "realtor": [
        {
          "listing_id": "2978732073",
          "status": "for_sale",
          "primary": true,
          "unique": true
        },
        {
          "listing_id": "2965725191",
          "status": "off_market"
        },
        {
          "listing_id": "2955206305",
          "status": "off_market"
        }
      ]
    }
  },
  "lead": {
    "show_contact_an_agent": true,
    "lead_type": "co_broke",
    "market_type": "pure",
    "is_veterans_united_eligible": false,
    "is_schedule_a_tour": false,
    "show_lead_form": true,
    "show_text_leads": true,
    "opcity": {
      "flip_the_market_enabled": true,
      "phones": [
        {
          "number": "(214)307-9611",
          "category": "comm_console"
        }
      ]
    },
    "ready_connect_mortgage": {
      "show_contact_a_lender": false,
      "show_veterans_united": false
    }
  },
  "flags": {
    "is_new_listing": false,
    "has_specials": false,
    "has_matterport": false,
    "is_usda_eligible": false,
    "suppression": {
      "has_suppress_sold_price": true,
      "has_suppress_ai_distribution": true,
      "has_suppress_sold_price_with_range": true,
      "has_suppress_foreclosure": true
    }
  },
  "marketing": {
    "products": [
      "core.agent",
      "core.broker",
      "co_broke"
    ],
    "brand_name": "essentials",
    "branding": [
      {
        "type": "Office",
        "name": "Briggs Freeman Sotheby's International Realty"
      }
    ],
    "rmn_listing_attribution": false,
    "is_promoted_listing": false
  },
  "metrics": {
    "is_popular_by_ldp_views": true,
    "is_popular_by_leads": true,
    "is_popular_by_saves": true
  },
  "source_context": {
    "seed_id": "3493b3272f73",
    "seed_type": "query",
    "seed_value": "Dallas, TX",
    "page_index": 1,
    "enriched": true,
    "detail_url": "https://www.realtor.com/realestateandhomes-detail/5619-Walnut-Hill-Ln_Dallas_TX_75229_M92871-64194"
  }
}

Field Reference

Property Listing Record

id (string, required): Stable property identifier; recommended property-level idempotency key.

property_id (string, required): Property identifier from the listing record.

listing_id (string, optional): Listing-specific identifier for the current listing instance.

url (string, required): Public Realtor.com listing URL.

title (string, optional): Display title, typically address-based.

property_type (string, optional): Normalized property category shown for the listing.

status (string, optional): Listing status, such as for_sale.

pricing.display_price / pricing.list_price / pricing.currency (string, number, string; optional): Human-readable price, numeric price, and currency code.

pricing.last_sold_date (string, optional): Last sold timestamp when available.

pricing.price_per_sqft (number, optional): Price per square foot.

pricing.hoa_fee (number, optional): HOA fee value when available.

pricing.estimates.current_values[].estimate (number, optional): Estimated property value.

pricing.estimates.current_values[].is_best_home_value (boolean, optional): Indicates the preferred estimate in the record.

pricing.mortgage.property_tax_rate (number, optional): Property tax rate used in the mortgage estimate.

pricing.mortgage.closing_cost / pricing.mortgage.closing_cost_rate / pricing.mortgage.due_at_close (number, string, number; optional): Closing cost details.

pricing.mortgage.insurance_rate (number, optional): Insurance rate used in the estimate.

pricing.mortgage.county_fha_loan_limit (number, optional): County FHA loan limit.

pricing.mortgage.is_listing_price_eligible_for_fha / pricing.mortgage.is_listing_price_jumbo_loan (boolean, optional): Loan eligibility indicators.

pricing.mortgage.average_rates[].rate (number, optional): Mortgage rate for a listed loan product.

pricing.mortgage.average_rates[].loan.id / display_name / term / is_va_loan (string, string, number, boolean; optional): Loan product metadata.

pricing.mortgage.monthly_payment (number, optional): Estimated monthly payment.

pricing.mortgage.monthly_payment_details[].amount / display_name / type (number, string, string; optional): Payment component breakdown.

pricing.mortgage.average_rate.rate / loan_term (number, number; optional): Summary rate and term.

location.address / city / state / state_code / postal_code / country (string, optional): Core address fields.

location.county / county_fips (string, optional): County name and FIPS code.

location.street_view_url / street_view_metadata_url (string, optional): Public street-view related media URLs when present.

location.coordinates.latitude / longitude (number, optional): Geographic coordinates.

location.street_number / street_name / street_suffix (string, optional): Parsed street components.

location.validation_code (string, optional): Address validation code when present.

location.search_areas[].city / state_code (string, optional): Search area metadata.

location.city_metadata.slug_id / county_needed_for_uniq (string, boolean; optional): City metadata.

location.neighborhoods[] (array of strings, optional): Neighborhood names associated with the property.

location.postal_market_badge (string, optional): Postal market indicator when available.

property.beds / baths / baths_consolidated (number, number, string; optional): Bedroom and bathroom counts.

property.sqft / lot_sqft (number, optional): Building and lot area in square feet.

property.year_built (number, optional): Construction year.

property.garage (number, optional): Garage space count.

property.sold_date (string, optional): Last sold date.

property.description (string, optional): Listing description.

property.baths_full / baths_half (number, optional): Full and half bathroom counts.

property.stories (number, optional): Number of storeys.

features.details[].category / parent_category (string, optional): Feature group labels.

features.details[].items[] (array of strings, optional): Feature descriptions within each group.

features.tags[] (array of strings, optional): Normalized feature tags.

features.display_tags[].id / label (string, optional): User-facing feature tags.

features.ranked_tags[].label / rank_order / tag / tag_source (string, number, string, string; optional): Ranked feature tags and their source category.

contacts.advertisers[].type / fulfillment_id / name / email / url / mls_set / nrds_id (string, optional): Advertiser or agent identity and contact fields.

contacts.advertisers[].office.name / fulfillment_id / email / url / mls_set / slogan (string, optional): Office metadata.

contacts.advertisers[].office.address.line / city / state_code / postal_code (string, optional): Office address fields.

contacts.advertisers[].office.phones[].number / type / primary (string, string, boolean; optional): Office phone entries.

contacts.advertisers[].office.photo.url (string, optional): Office photo URL.

contacts.advertisers[].phones[].number / type / primary (string, string, boolean; optional): Advertiser phone entries.

contacts.advertisers[].broker.fulfillment_id / name (string, optional): Broker identity.

contacts.advertisers[].photo.url (string, optional): Advertiser photo URL.

contacts.advertisers[].address.line / city / state_code / postal_code / country (string, optional): Advertiser address fields when present.

contacts.consumer_advertisers[].type / advertiser_id / agent_id / broker_id / office_id / name / phone / url / show_realtor_logo (string, boolean; optional): Consumer-facing advertiser summary.

contacts.consumer_advertisers[].address.city / state_code (string, optional): Consumer-facing advertiser location.

contacts.consumer_advertisers[].photo.url (string, optional): Consumer-facing advertiser photo URL.

media.photo_count (number, optional): Number of photos reported for the listing.

media.images[].url / is_primary / type / tags[] (string, boolean, string, array; optional): Listing image URL, primary-image flag, image type, and image tags.

media.virtual_tours[].url (string, optional): Virtual tour URL.

media.augmented_gallery[].key / category / photo_count (string, string, number; optional): Gallery grouping metadata.

media.augmented_gallery[].photos[].url / tag (string, string; optional): Gallery photo URL and category tag.

media.augmented_gallery[].details[].sub_category / items[] (string, array; optional): Gallery-related detail groups.

media.home_tours.virtual_tours[].url / type / category (string, string, string; optional): Home tour metadata.

source.permalink / property_id / id / name / type / source_listing_id (string, optional): Listing source identifiers and labels.

source.list_date / last_update_date (string, optional): Source list and update timestamps.

source.raw.status (string, optional): Source status label.

source.agents[].agent_id / name / source_id / office_id / type (string, optional): Source-level agent references.

source.disclaimer.text (string, optional): Source disclaimer text.

source.other_listings.realtor[].listing_id / status / primary / unique (string, string, boolean, boolean; optional): Related Realtor.com listing references.

lead.show_contact_an_agent / is_schedule_a_tour / show_lead_form / show_text_leads (boolean, optional): Lead experience flags.

lead.lead_type / market_type (string, optional): Lead and market classification.

lead.is_veterans_united_eligible (boolean, optional): Veterans United eligibility flag.

lead.opcity.flip_the_market_enabled (boolean, optional): Lead routing indicator.

lead.opcity.phones[].number / category (string, string; optional): Lead phone contact metadata.

lead.ready_connect_mortgage.show_contact_a_lender / show_veterans_united (boolean, optional): Mortgage lead display flags.

flags.is_new_listing / has_specials / has_matterport / is_usda_eligible (boolean, optional): Listing flags.

flags.suppression.has_suppress_sold_price / has_suppress_ai_distribution / has_suppress_sold_price_with_range / has_suppress_foreclosure (boolean, optional): Suppression flags included in the public record.

marketing.products[] (array of strings, optional): Marketing product labels associated with the listing.

marketing.brand_name (string, optional): Marketing brand label.

marketing.branding[].type / name (string, optional): Branding entries.

marketing.rmn_listing_attribution / is_promoted_listing (boolean, optional): Marketing attribution and promotion indicators.

metrics.is_popular_by_ldp_views / is_popular_by_leads / is_popular_by_saves (boolean, optional): Popularity indicators.

source_context.seed_id / seed_type / seed_value (string, optional): Input context that produced the record.

source_context.page_index (number, optional): Result page index associated with the record.

source_context.enriched (boolean, optional): Indicates whether richer detail fields were collected for the record.

source_context.detail_url (string, optional): Detail URL associated with the record.

Data Quality, Guarantees, And Handling

• Structured records: results are normalized into predictable JSON objects for downstream use.
• Best-effort extraction: fields may vary by region, session, availability, listing category, and interface changes on Realtor.com.
• Optional fields: null-check optional fields in downstream code, especially media, mortgage estimates, agent details, source metadata, and rich property features.
• Deduplication: use id for property-level deduplication, or id + listing_id when storing listing instances separately.
• Freshness: results reflect the publicly available data at run time.
• Repeated runs: use the recommended idempotency key when syncing data into warehouses, CRMs, search indexes, or operational reporting systems.

Tips For Best Results

• Start with a small limit to validate the output shape before scaling up.
• Use one geography or listing category per run when you need cleaner segmentation.
• Leave optional filters empty when the goal is broad discovery.
• Add filters gradually to understand how each field changes coverage.
• Use publication_date, price_reduced, open_house_only, or builder_promotions for monitoring workflows.
• Enable enrich_data when descriptions, detailed features, media, source data, or contact details are important.
• Use stable identifiers for deduplication when storing results over time.

How to Run on Apify

1. Open the Actor in Apify Console.
2. Configure the available input fields for the target scope, starting with location and deal_type.
3. Set the maximum number of outputs to collect with limit.
4. Click Start and wait for the run to finish.
5. Open the dataset preview to inspect records.
6. Download results in JSON, CSV, Excel, or another supported format.

Scheduling & Automation

Scheduling

Automated Data Collection

Use Apify schedules to run the actor automatically and keep real estate datasets fresh for reporting, monitoring, or enrichment workflows. Recurring runs are useful when you need a consistent view of pricing, availability, listing changes, or market movement over time.

• Navigate to Schedules in Apify Console
• Create a new schedule (daily, weekly, or custom cron)
• Configure input parameters
• Enable notifications for run completion
• Add webhooks for automated processing

Integration Options

• CRM enrichment: sync public property, agent, office, and listing attributes into account, lead, or territory records.
• BI dashboards: monitor pricing, inventory, property types, market coverage, and geographic trends over time.
• Data warehouses: store recurring JSON records for historical analysis, modeling, and operational reporting.
• Google Sheets or Airtable: review smaller datasets, validate segments, and coordinate lightweight research workflows.
• Webhooks: trigger validation, alerts, ingestion, or downstream processing after each completed run.
• Data enrichment pipelines: join Realtor.com listing attributes with internal CRM, analytics, underwriting, or market datasets.

Export Formats And Downstream Use

Apify datasets can be exported or consumed by downstream systems for operational workflows, reporting, and automation.

• JSON: for APIs, applications, and data pipelines
• CSV or Excel: for spreadsheet workflows and manual review
• API access: for automated ingestion into internal systems
• BI and warehouses: for reporting, dashboards, and historical analysis

Performance

Estimated execution times:

• Small runs (< 1,000 outputs): ~3-5 minutes
• Medium runs (1,000-5,000 outputs): ~5-15 minutes
• Large runs (5,000+ outputs): ~15-30 minutes

Execution time varies based on filters, result volume, and how much information is returned per record. Highly filtered runs can finish faster, while broad discovery or detail-rich records may take longer.

Limitations

• Availability depends on what Realtor.com publicly exposes at run time.
• Some optional fields may be missing on sparse listings, regional records, or listing categories with limited public data.
• Very broad searches may take longer or require higher limits to capture the desired coverage.
• Target-side changes can affect field availability, naming, or the presence of rich details.
• Regional, account, or availability differences may change visible results.
• Rich media, mortgage estimates, contact information, and source metadata are not guaranteed for every listing.

Troubleshooting

• No results returned: check filters, location spelling, listing category, and whether Realtor.com has matching public records for the selected scope.
• Fewer results than expected: broaden filters, raise limit, use a broader location, or verify that enough matching records are publicly available.
• Some fields are empty: optional fields depend on what each listing publicly provides.
• Run takes longer than expected: reduce scope, lower limit for validation, or split broad collection into smaller location or category segments.
• Output changed: compare the current output with the field reference and report a small sample if support is needed.

FAQ

What data does this actor collect?

It collects public Realtor.com property listing records, including identifiers, URLs, prices, location, property attributes, listing status, features, media, agent or office contact details, source metadata, and related flags when available.

Can I filter by location, category, date, price, or other criteria?

Yes. The actor supports location searches, deal_type, property type, listing status, publication date, keyword, price range, room counts, building and lot size, building age, year built, amenities, open house availability, builder promotions, and price-reduction filters.

Why did I receive fewer results than my limit?

The limit is a maximum, not a guarantee. A run may return fewer records when the selected location, listing category, or filters have fewer matching public listings.

Can I schedule recurring runs?

Yes. Use Apify schedules to run the actor daily, weekly, or with a custom cron expression for monitoring and recurring reporting.

How do I avoid duplicates across runs?

Use id for property-level deduplication. If your workflow tracks separate listing instances, use a composite key such as id + listing_id.

Can I export the data to CSV, Excel, or JSON?

Yes. Apify datasets can be exported in JSON, CSV, Excel, and other supported formats.

Does this actor collect private data?

No. The actor is intended for publicly available Realtor.com listing information. Users are responsible for using collected data lawfully and in accordance with applicable terms and regulations.

What should I include when reporting an issue?

Include the input used, the run ID, expected versus actual behavior, and a small output sample if it helps demonstrate the issue. Redact sensitive internal information before sharing.

Compliance & Ethics

Responsible Data Collection

This actor collects publicly available real estate listing information from https://www.realtor.com for legitimate business purposes, including:

• Real estate research and market analysis
• Listing monitoring and operational reporting
• CRM, BI, and data enrichment workflows

This section is informational and not legal advice. Users are responsible for ensuring their use of the actor and its outputs complies with applicable laws, regulations, contractual obligations, and platform terms.

Best Practices

• Use collected data in accordance with applicable laws, regulations, and the target site’s terms
• Respect individual privacy and personal information
• Use data responsibly and avoid disruptive or excessive collection
• Do not use this actor for spamming, harassment, or other harmful purposes
• Follow relevant data protection requirements where applicable, including GDPR and CCPA

Support

For help, use the Actor page or Issues section associated with this actor. Include the input used (redacted if needed), the run ID, expected versus actual behavior, and a small output sample when it helps clarify the issue. Avoid sharing secrets, private credentials, or sensitive internal data in support requests.