Realtor Properties Scraper

Pricing

$25.00/month + usage

Realtor Properties Scraper

Efficiently gather detailed property data from Realtor, including listings for sale, rent, and sold. Extract key details like prices, descriptions, photos, school info, and environmental risks. Ideal for real estate analysis, market research, and data-driven insights.

Pricing

$25.00/month + usage

Rating

0.0

(0)

Developer

Aitor Sanchez-Mansilla

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

6 days ago

Last modified

🏡 Realtor Property Scraper

The Realtor Properties Scraper extracts detailed property data for Realtor US enriched with location insights such as nearby schools and enviromental risks. It is designed for real estate professionals, data analysts, and investors who need accurate and enriched property data for analysis or integration into their systems.

✨ Features

Property Details:
- Detailed description (Address, price, number of rooms, pool , parking, etc).
- Photos and floor plans.
- Mortgage and financial details.
- History of listing and taxes.
Nearby Location Insights:
- Schools relevant information (location, grades, number of students, parent rates, etc).
- Enviromental risk scores and probabilities (flood, fire, storms, cost to heat, air quality) and insurance recommendations.
Easy To Use:
- No need to manually introduce URLs, only search by city, state and/or postal code.
- Readable output.

💡 Use Cases

This scraper is designed for a variety of use cases, enabling users to extract property data efficiently. Here are some key scenarios:

1. Real Estate Market Analysis

Gather comprehensive property data, including prices, features, location scores, and nearby amenities, to analyze market trends and make informed investment decisions.

2. Competitor Monitoring

Monitor competitor listings, pricing strategies, and features to gain a competitive edge in the real estate market.

3. Property Lead Generation

Collect data on properties for sale or rent to build targeted marketing campaigns and generate high-quality leads.

4. Integration with CRM Systems

Seamlessly integrate scraped data into CRM systems to enrich property databases or streamline customer interactions.

5. Real Estate Agency Operations

Keep listings updated with accurate property details and nearby amenities to improve client experience and operational efficiency.

6. Local Area Insights

Extract location-specific scores (e.g., walkability, transit options, schools, shopping) to assist buyers in selecting properties that match their lifestyle preferences.

7. Data-Driven Content Creation

Use the scraped data to create engaging blog posts, reports, or videos that provide insights into property trends, neighborhood details, and real estate forecasts.

8. Integration with LLMs

- With the compatibility with Apify's MCP server, you can easily integrate this Actor into your LLM's workflow to ask for a real state market research in your area.

Cost

This Actor uses pay-per-event pricing with tiered rates:

No subscription - $0.005 per Event Scraped
Bronze Tier - $0.004 per Event Scraped
Silver Tier - $0.003 per Event Scraped
Gold Tier - $0.002 per Event Scraped

Aplify's platform costs are included, so the total amount is totally predictable for you.

🔧 Input Configuration

You can customize the scraper by providing the following inputs:

Field Name	Type	Description	Required	Default Value
`city`	`string`	The target city for property scraping.	No	`""`
`state`	`string`	The target state for property scraping.	Yes	`"NY"`
`postalCode`	`string`	The postal code for narrowing down property search.	No	`""`
`maxItems`	`integer`	Maximum number of properties to scrape.	No
`forSale`	`boolean`	Include properties that are for sale.	No	`true`
`forRent`	`boolean`	Include properties that are for rent.	No	`false`
`readyToBuild`	`boolean`	Include properties ready for construction, also for sale.	No	`true`
`sold`	`boolean`	Include recently sold properties.	No	`false`
`offMarket`	`boolean`	Include off-market properties.	No	`false`

📦 Output Format

The output is a JSON array where each object represents a property. Example:

{
	"id": "9700806558",
	"url": "https://www.realtor.com/realestateandhomes-detail/217-W-57th-St-127128_New-York_NY_10019_M97008-06558",
	"last_sold_date": null,
	"last_sold_price": null,
	"list_date": "2025-11-10T18:02:13Z",
	"list_price": 128000000,
	"last_price_change_amount": null,
	"listing_id": "2988408325",
	"status": "for_sale",
	"baths": null,
	"baths_3qtr": null,
	"baths_full": 9,
	"baths_half": 1,
	"baths_max": null,
	"baths_min": null,
	"baths_total": null,
	"baths_consolidated": "9.5",
	"beds": 8,
	"beds_max": null,
	"beds_min": null,
	"construction": null,
	"cooling": null,
	"exterior": null,
	"fireplace": null,
	"garage": null,
	"garage_max": null,
	"garage_min": null,
	"garage_type": null,
	"heating": null,
	"logo": null,
	"lot_sqft": null,
	"name": null,
	"pool": null,
	"roofing": null,
	"rooms": null,
	"sqft": 11535,
	"sqft_max": null,
	"sqft_min": null,
	"stories": null,
	"styles": null,
	"sub_type": "condo",
	"text": "The Apex Duplex, occupying the 127th and 128th floors, is a distinguished home within Central Park Tower, standing as the highest duplex residence in the world. With sweeping views of Central Park, the Manhattan skyline, and beyond, it offers an unrivaled lifestyle at one of the most prestigious addresses on the globe. Spanning 11, 535 square feet, this palatial duplex is a truly unique offering. From the moment you arrive, a private reception hall opens into a dramatic 39-foot-long gallery, setting the stage for the voluminous scale and museum-quality design found throughout. The sprawling main living area features 14-foot ceilings and 270-degree views, with floor-to-ceiling crystalline windows that frame truly incomparable vista. Adjacent to this grand space is a refined library and office. The chef's kitchen is a masterpiece of craftsmanship, outfitted with custom Eucalyptus cabinetry by Smallbone of Devizes, book-matched Statuary marble countertops, Dornbracht polished nickel fixtures, custom polished nickel hardware, and white Neuvellano stone flooring. At the heart of the home is a stunning double-height stair hall, where a glass-enclosed, sculptural staircase ascends to the upper level - a dramatic architectural centerpiece. The primary suite is a sanctuary in the sky, complete with two spacious dressing rooms and dual primary bathrooms featuring radiant heated floors, Grigio Orobico and Statuary marble, Dornbracht fixtures, and a free-standing tub perfectly positioned to take in unobstructed views over the treetops of Central Park. Designed by the acclaimed ROTTET Studio, this residence is finished with the finest materials including rare imported stone, custom-stained 3-inch wide plank solid wood flooring, floor-to-ceiling glass, and ceiling heights reaching up to 14'6 . This is more than a home - it is the apex of luxury living at one of the world's most iconic locations. Central Park Tower offers an extraordinary lifestyle anchored by the Central Park Club, a 50, 000-square-foot, multi-level amenity experience featuring world-class fitness and wellness facilities, private dining, and curated lifestyle spaces. Highlights include a 63-foot heated saltwater pool, a windowed basketball and squash court, a sculpture garden with a 60-foot outdoor pool and sundeck offering food and drink service, as well as game room, resident lounges, a theater, and a business center. At its pinnacle, 10Cubed - set on the 100th floor - boasts the world's highest private ballroom, restaurant, and cigar lounge, with breathtaking views in every direction.",
	"type": "condos",
	"units": null,
	"year_built": 2020,
	"year_renovated": null,
	"zoning": null,
	"details": [
		{
			"category": "Bedrooms",
			"parent_category": "Interior",
			"text": [
				"Bedrooms: 8"
			]
		},
		{
			"category": "Other Rooms",
			"parent_category": "Interior",
			"text": [
				"Total Rooms: 19",
				"Exercise Room: Yes"
			]
		},
		{
			"category": "Bathrooms",
			"parent_category": "Interior",
			"text": [
				"Total Bathrooms: 9.5",
				"Full Bathrooms: 9",
				"1/2 Bathrooms: 1"
			]
		},
		{
			"category": "Interior Features",
			"parent_category": "Interior",
			"text": [
				"Concierge",
				"Doorman",
				"Elevator",
				"Fitness Center",
				"Total Floors in Building: 131"
			]
		},
		{
			"category": "Heating and Cooling",
			"parent_category": "Interior",
			"text": [
				"Cooling Features: Air Conditioning"
			]
		},
		{
			"category": "Appliances",
			"parent_category": "Interior",
			"text": [
				"Dryer: Yes",
				"Washer: Yes"
			]
		},
		{
			"category": "Homeowners Association",
			"parent_category": "Community",
			"text": [
				"Association: Yes",
				"Association Fee: 20766",
				"Calculated Total Monthly Association Fees: 20766"
			]
		},
		{
			"category": "Amenities and Community Features",
			"parent_category": "Community",
			"text": [
				"Doorman: Yes"
			]
		},
		{
			"category": "Other Property Info",
			"parent_category": "Listing",
			"text": [
				"Source Listing Status: for sale",
				"Availability Date: 2025-11-10",
				"Source Property Type: new Home",
				"Inclusions: Washer, Dryer, Dishwasher",
				"Property Subtype: condo",
				"Source Neighborhood: Midtown Central",
				"Property Subtype: condo",
				"Source System Name: C2C"
			]
		},
		{
			"category": "Building and Construction",
			"parent_category": "Features",
			"text": [
				"Total Square Feet Living: 11535",
				"Year Built: 2020",
				"Building Name: Central Park Tower",
				"New Construction: Yes",
				"Property Age: 6",
				"Elevator: Yes"
			]
		}
	],
	"address": {
		"city": "Manhattan",
		"coordinate": {
			"lat": 40.766163,
			"lon": -73.981133
		},
		"country": "USA",
		"line": "217 W 57th St Unit 127/128",
		"postal_code": "10019",
		"state": "New York",
		"state_code": "NY",
		"street_direction": "W",
		"street_name": "57th",
		"street_number": "217",
		"street_post_direction": null,
		"street_suffix": "St",
		"unit": "Unit 127/128",
		"validation_code": "141"
	},
	"photos": [
		{
			"href": "https://ap.rdcpix.com/896606bff14f6478f63954c8eb5c30f3l-m288095034s.jpg"
		},
		{
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		},
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		},
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		},
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		},
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		},
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	"floor_plans": [
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		{
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	],
	"nearby_schools": [
		{
			"id": "0751462531",
			"name": "Ps 111 Adolph S Ochs",
			"grade": "K-5",
			"slug_id": "Ps-111-Adolph-S-Ochs-0751462531",
			"greatschools_id": "3602378",
			"nces_code": "360007702414",
			"education_levels": [
				"elementary"
			],
			"parent_rating": 4,
			"rating": 5,
			"funding_type": "public",
			"lat": 40.765907,
			"lon": -73.989904,
			"student_count": 383,
			"student_teacher_ratio": 10.7,
			"location": {
				"city_slug_id": "New-York_NY",
				"postal_code": "10019",
				"state": "NY",
				"county": "New York",
				"city": "New York",
				"street": "440 West 53rd Street"
			},
			"grades": [
				"K",
				"1",
				"2",
				"3",
				"4",
				"5"
			]
		},
		{
			"id": "0751468231",
			"name": "NYC Lab High School For Collaborative Studies",
			"grade": "9-12",
			"slug_id": "NYC-Lab-High-School-For-Collaborative-Studies-0751468231",
			"greatschools_id": "3602777",
			"nces_code": "360007702857",
			"education_levels": [
				"high"
			],
			"parent_rating": 3,
			"rating": 9,
			"funding_type": "public",
			"lat": 40.742463,
			"lon": -74.002498,
			"student_count": 463,
			"student_teacher_ratio": 11,
			"location": {
				"city_slug_id": "New-York_NY",
				"postal_code": "10011",
				"state": "NY",
				"county": "New York",
				"city": "New York",
				"street": "333 West 17th Street"
			},
			"grades": [
				"9",
				"10",
				"11",
				"12"
			]
		},
		{
			"id": "0751538341",
			"name": "Nyc Lab Ms For Collaborative Studies",
			"grade": "6-8",
			"slug_id": "Nyc-Lab-Ms-For-Collaborative-Studies-0751538341",
			"greatschools_id": "3607685",
			"nces_code": "360007705539",
			"education_levels": [
				"middle"
			],
			"parent_rating": 4,
			"rating": 8,
			"funding_type": "public",
			"lat": 40.742492,
			"lon": -74.002566,
			"student_count": 519,
			"student_teacher_ratio": 13.8,
			"location": {
				"city_slug_id": "New-York_NY",
				"postal_code": "10011",
				"state": "NY",
				"county": "New York",
				"city": "New York",
				"street": "333 West 17th Street"
			},
			"grades": [
				"6",
				"7",
				"8"
			]
		},
		{
			"id": "0751520251",
			"name": "The Clinton School",
			"grade": "6-12",
			"slug_id": "The-Clinton-School-0751520251",
			"greatschools_id": "3606419",
			"nces_code": "360007704410",
			"education_levels": [
				"middle",
				"high"
			],
			"parent_rating": 5,
			"rating": 9,
			"funding_type": "public",
			"lat": 40.736128,
			"lon": -73.992257,
			"student_count": 786,
			"student_teacher_ratio": 13.5,
			"location": {
				"city_slug_id": "New-York_NY",
				"postal_code": "10003",
				"state": "NY",
				"county": "New York",
				"city": "New York",
				"street": "10 East 15th Street"
			},
			"grades": [
				"6",
				"7",
				"8",
				"9",
				"10",
				"11",
				"12"
			]
		},
		{
			"id": "0751518161",
			"name": "High School for Climate Justice (The)",
			"grade": "9-12",
			"slug_id": "High-School-for-Climate-Justice-(The)-0751518161",
			"greatschools_id": "3606273",
			"nces_code": "360007703705",
			"education_levels": [
				"high"
			],
			"parent_rating": 3,
			"rating": 5,
			"funding_type": "public",
			"lat": 40.783335,
			"lon": -73.945879,
			"student_count": 301,
			"student_teacher_ratio": 11.4,
			"location": {
				"city_slug_id": "New-York_NY",
				"postal_code": "10128",
				"state": "NY",
				"county": "New York",
				"city": "New York",
				"street": "320 East 96th Street"
			},
			"grades": [
				"9",
				"10",
				"11",
				"12"
			]
		},
		{
			"id": "0751690701",
			"name": "Middle 297",
			"grade": "6-8",
			"slug_id": "Middle-297-0751690701",
			"greatschools_id": "3618349",
			"nces_code": "360007706602",
			"education_levels": [
				"middle"
			],
			"parent_rating": null,
			"rating": 6,
			"funding_type": "public",
			"lat": 40.731246,
			"lon": -74.007613,
			"student_count": 422,
			"student_teacher_ratio": 13.9,
			"location": {
				"city_slug_id": "New-York_NY",
				"postal_code": "10038",
				"state": "NY",
				"county": "New York",
				"city": "New York",
				"street": "75 MORTON ST"
			},
			"grades": [
				"6",
				"7",
				"8"
			]
		},
		{
			"id": "0751509251",
			"name": "St Thomas Choir School",
			"grade": "3-8",
			"slug_id": "St-Thomas-Choir-School-0751509251",
			"greatschools_id": "3605649",
			"nces_code": "A9105048",
			"education_levels": [
				"elementary",
				"middle"
			],
			"parent_rating": 4,
			"rating": null,
			"funding_type": "private",
			"lat": 40.766267,
			"lon": -73.980316,
			"student_count": 24,
			"student_teacher_ratio": null,
			"location": {
				"city_slug_id": "New-York_NY",
				"postal_code": "10019",
				"state": "NY",
				"county": "New York",
				"city": "New York",
				"street": "202 West 58th Street"
			},
			"grades": [
				"3",
				"4",
				"5",
				"6",
				"7",
				"8"
			]
		},
		{
			"id": "0751516151",
			"name": "The Geneva School of Manhattan",
			"grade": "PK-8",
			"slug_id": "The-Geneva-School-of-Manhattan-0751516151",
			"greatschools_id": "3606132",
			"nces_code": "A9903185",
			"education_levels": [
				"elementary",
				"middle"
			],
			"parent_rating": 5,
			"rating": null,
			"funding_type": "private",
			"lat": 40.765103,
			"lon": -73.978408,
			"student_count": 176,
			"student_teacher_ratio": null,
			"location": {
				"city_slug_id": "New-York_NY",
				"postal_code": "10024",
				"state": "NY",
				"county": "New York",
				"city": "New York",
				"street": "138 West 90th Street"
			},
			"grades": [
				"PK",
				"K",
				"1",
				"2",
				"3",
				"4",
				"5",
				"6",
				"7",
				"8"
			]
		},
		{
			"id": "0751540551",
			"name": "Ps 35",
			"grade": "K-12",
			"slug_id": "Ps-35-0751540551",
			"greatschools_id": "3607840",
			"nces_code": "360013503340",
			"education_levels": [
				"elementary",
				"middle",
				"high"
			],
			"parent_rating": 5,
			"rating": null,
			"funding_type": "public",
			"lat": 40.764095,
			"lon": -73.986031,
			"student_count": 232,
			"student_teacher_ratio": 4.1,
			"location": {
				"city_slug_id": "New-York_NY",
				"postal_code": "10019",
				"state": "NY",
				"county": "New York",
				"city": "New York",
				"street": "317 West 52nd Street"
			},
			"grades": [
				"K",
				"2",
				"3",
				"4",
				"5",
				"6",
				"7",
				"8",
				"9",
				"10",
				"11",
				"12"
			]
		},
		{
			"id": "0751633161",
			"name": "The Speyer Legacy School",
			"grade": "K-8",
			"slug_id": "The-Speyer-Legacy-School-0751633161",
			"greatschools_id": "3614323",
			"nces_code": "A1101731",
			"education_levels": [
				"elementary",
				"middle"
			],
			"parent_rating": 4,
			"rating": null,
			"funding_type": "private",
			"lat": 40.769241,
			"lon": -73.985245,
			"student_count": 317,
			"student_teacher_ratio": null,
			"location": {
				"city_slug_id": "New-York_NY",
				"postal_code": "10019",
				"state": "NY",
				"county": "New York",
				"city": "New York",
				"street": "925 9th Avenue"
			},
			"grades": [
				"K",
				"1",
				"2",
				"3",
				"4",
				"5",
				"6",
				"7",
				"8"
			]
		},
		{
			"id": "0751520231",
			"name": "Ps 212 Midtown West",
			"grade": "K-5",
			"slug_id": "Ps-212-Midtown-West-0751520231",
			"greatschools_id": "3606417",
			"nces_code": "360007704407",
			"education_levels": [
				"elementary"
			],
			"parent_rating": 3,
			"rating": 7,
			"funding_type": "public",
			"lat": 40.761398,
			"lon": -73.988543,
			"student_count": 275,
			"student_teacher_ratio": 16.1,
			"location": {
				"city_slug_id": "New-York_NY",
				"postal_code": "10036",
				"state": "NY",
				"county": "New York",
				"city": "New York",
				"street": "328 West 48th Street"
			},
			"grades": [
				"K",
				"1",
				"2",
				"3",
				"4",
				"5"
			]
		}
	],
	"local": {
		"noise": {
			"score": null,
			"noise_categories": [
				{
					"text": null,
					"type": "airport"
				},
				{
					"text": null,
					"type": "traffic"
				},
				{
					"text": null,
					"type": "local"
				},
				{
					"text": null,
					"type": "score"
				}
			]
		},
		"flood": {
			"flood_factor_severity": null,
			"flood_trend": null
		},
		"wildfire": {
			"fire_factor_severity": null,
			"fire_trend": null
		},
		"heat": {
			"heat_factor_severity": null,
			"heat_trend": null
		},
		"wind": {
			"wind_factor_severity": null,
			"wind_trend": null
		},
		"air": {
			"air_factor_severity": null,
			"air_trend": null
		}
	},
	"history": [
		{
			"date": "2025-11-10",
			"event_name": "Listed",
			"price": 128000000,
			"price_change": 0,
			"price_sqft": 11096.662332032944,
			"source_listing_id": "1971152955940111025",
			"source_name": "Compass",
			"price_change_percentage": null,
			"days_after_listed": null,
			"listing": {
				"list_price": 128000000,
				"last_status_change_date": "2025-11-10T18:02:13Z",
				"last_update_date": "2026-01-07T20:02:05Z",
				"status": "for_sale",
				"list_date": "2025-11-10T18:02:13Z",
				"listing_id": "2988408325"
			}
		},
		{
			"date": "2025-03-15",
			"event_name": "Listing removed",
			"price": 0,
			"price_change": 0,
			"price_sqft": null,
			"source_listing_id": "9117659",
			"source_name": "RealPlus",
			"price_change_percentage": null,
			"days_after_listed": "199 days",
			"listing": {
				"list_price": 150000000,
				"last_status_change_date": "2025-03-15T14:57:00Z",
				"last_update_date": "2025-02-15T18:30:44Z",
				"status": "off_market",
				"list_date": "2024-08-28T16:40:31Z",
				"listing_id": "2969394044"
			}
		},
		{
			"date": "2024-08-28",
			"event_name": "Listing removed",
			"price": 0,
			"price_change": 0,
			"price_sqft": null,
			"source_listing_id": "CHRS23092040",
			"source_name": "RealPlus",
			"price_change_percentage": null,
			"days_after_listed": "49 days",
			"listing": {
				"list_price": 150000000,
				"last_status_change_date": "2024-08-28T16:54:08Z",
				"last_update_date": "2024-07-10T13:39:25Z",
				"status": "off_market",
				"list_date": "2024-07-10T16:51:10Z",
				"listing_id": "2971288497"
			}
		},
		{
			"date": "2024-08-28",
			"event_name": "Listed",
			"price": 150000000,
			"price_change": 0,
			"price_sqft": 13003.901170351106,
			"source_listing_id": "9117659",
			"source_name": "RealPlus",
			"price_change_percentage": null,
			"days_after_listed": null,
			"listing": {
				"list_price": 150000000,
				"last_status_change_date": "2025-03-15T14:57:00Z",
				"last_update_date": "2025-02-15T18:30:44Z",
				"status": "off_market",
				"list_date": "2024-08-28T16:40:31Z",
				"listing_id": "2969394044"
			}
		},
		{
			"date": "2024-07-10",
			"event_name": "Listed",
			"price": 150000000,
			"price_change": 0,
			"price_sqft": 13003.901170351106,
			"source_listing_id": "CHRS23092040",
			"source_name": "RealPlus",
			"price_change_percentage": null,
			"days_after_listed": null,
			"listing": {
				"list_price": 150000000,
				"last_status_change_date": "2024-08-28T16:54:08Z",
				"last_update_date": "2024-07-10T13:39:25Z",
				"status": "off_market",
				"list_date": "2024-07-10T16:51:10Z",
				"listing_id": "2971288497"
			}
		},
		{
			"date": "2021-11-23",
			"event_name": "Listing removed",
			"price": 0,
			"price_change": 0,
			"price_sqft": null,
			"source_listing_id": "CORC-6366673",
			"source_name": "REBNY",
			"price_change_percentage": null,
			"days_after_listed": null,
			"listing": {
				"list_price": 150000000,
				"last_status_change_date": "2021-11-23T09:40:08Z",
				"last_update_date": "2021-10-30T10:28:04Z",
				"status": "off_market",
				"list_date": "2021-08-12T01:18:58Z",
				"listing_id": "2932953532"
			}
		},
		{
			"date": "2021-11-19",
			"event_name": "Listing removed",
			"price": 0,
			"price_change": 0,
			"price_sqft": null,
			"source_listing_id": "6366673",
			"source_name": "CorcoranGroup",
			"price_change_percentage": null,
			"days_after_listed": "99 days",
			"listing": {
				"list_price": 150000000,
				"last_status_change_date": "2021-11-19T08:00:51Z",
				"last_update_date": "2021-11-19T06:01:06Z",
				"status": "off_market",
				"list_date": "2021-08-12T01:00:55Z",
				"listing_id": "2932953172"
			}
		},
		{
			"date": "2021-08-12",
			"event_name": "Listed",
			"price": 150000000,
			"price_change": 0,
			"price_sqft": 13003.901170351106,
			"source_listing_id": "CORC-6366673",
			"source_name": "REBNY",
			"price_change_percentage": null,
			"days_after_listed": null,
			"listing": {
				"list_price": 150000000,
				"last_status_change_date": "2021-11-23T09:40:08Z",
				"last_update_date": "2021-10-30T10:28:04Z",
				"status": "off_market",
				"list_date": "2021-08-12T01:18:58Z",
				"listing_id": "2932953532"
			}
		},
		{
			"date": "2021-08-12",
			"event_name": "Listed",
			"price": 150000000,
			"price_change": 0,
			"price_sqft": 13003.901170351106,
			"source_listing_id": "6366673",
			"source_name": "CorcoranGroup",
			"price_change_percentage": null,
			"days_after_listed": null,
			"listing": {
				"list_price": 150000000,
				"last_status_change_date": "2021-11-19T08:00:51Z",
				"last_update_date": "2021-11-19T06:01:06Z",
				"status": "off_market",
				"list_date": "2021-08-12T01:00:55Z",
				"listing_id": "2932953172"
			}
		}
	],
	"tax_history": null,
	"mortgage": {
		"property_tax_rate": 0.0123,
		"average_rates": [
			{
				"rate": 0.06096,
				"loan_type": {
					"loan_id": "thirty_year_fix",
					"is_va_loan": false,
					"display_name": "30-year fixed",
					"term": 30
				}
			},
			{
				"rate": 0.06008,
				"loan_type": {
					"loan_id": "twenty_year_fix",
					"is_va_loan": false,
					"display_name": "20-year fixed",
					"term": 20
				}
			},
			{
				"rate": 0.05301,
				"loan_type": {
					"loan_id": "fifteen_year_fix",
					"is_va_loan": false,
					"display_name": "15-year fixed",
					"term": 15
				}
			},
			{
				"rate": 0.05221,
				"loan_type": {
					"loan_id": "ten_year_fix",
					"is_va_loan": false,
					"display_name": "10-year fixed",
					"term": 10
				}
			},
			{
				"rate": 0.05641,
				"loan_type": {
					"loan_id": "thirty_year_fha",
					"is_va_loan": false,
					"display_name": "30-year fixed FHA",
					"term": 30
				}
			},
			{
				"rate": 0.05724,
				"loan_type": {
					"loan_id": "thirty_year_va",
					"is_va_loan": true,
					"display_name": "30-year fixed VA",
					"term": 30
				}
			},
			{
				"rate": 0.05942,
				"loan_type": {
					"loan_id": "five_one_arm",
					"is_va_loan": false,
					"display_name": "5-year ARM",
					"term": 30
				}
			},
			{
				"rate": 0.05977,
				"loan_type": {
					"loan_id": "seven_one_arm",
					"is_va_loan": false,
					"display_name": "7-year ARM",
					"term": 30
				}
			}
		],
		"closing_cost": 5120000,
		"closing_cost_rate": "4%",
		"due_at_close": 30720000,
		"insurance_rate": 0.0048,
		"county_fha_loan_limit": 1249125,
		"is_listing_price_eligible_for_fha": false,
		"estimate": {
			"monthly_payment": 823440,
			"monthly_payment_details": [
				{
					"amount": 620274,
					"display_name": "Principal & interest",
					"type": "principal_and_interest"
				},
				{
					"amount": 51200,
					"display_name": "Home insurance",
					"type": "home_insurance"
				},
				{
					"amount": 20766,
					"display_name": "Maintenance fee",
					"type": "hoa_fees"
				},
				{
					"amount": 0,
					"display_name": "Mortgage insurance",
					"type": "mortgage_insurance"
				},
				{
					"amount": 131200,
					"display_name": "Property tax",
					"type": "property_tax"
				}
			],
			"average_rate": {
				"rate": 0.06096,
				"loan_type": {
					"term": 30
				}
			}
		}
	}
}

⚙️ Configuration Recommendations

✅ Proxy Usage is Essential

Why? Realtor has anti-scraping mechanisms that block repeated or high-frequency requests from the same IP. This Actor always uses RESIDENTIAL proxies by default, otherwise the scraping is not possible.

📍 State Input is Required

The state field is mandatory and must always be provided (e.g., "New York (NY)" for New York).
If the state is missing, the scraper will not run.

"state": "New York (NY)"

🏙️ City and Postal Code are Optional but Recommended

City (city): Use it to narrow down searches to a specific city (e.g., "New York").
Postal Code (postalCode): Specify it to refine your search even further (e.g., "10025").
If neither city nor postalCode is provided, the scraper will attempt to gather broader state-level data.

Valid Configurations:

"city": "New York",
"postalCode": "10025"

"city": "",
"postalCode": ""

📊 Adjust Maximum Items (`maxItems`)

Example:

"maxItems": 2000

🏢 Property Status Selection

You can customize the scraper to focus on specific property types:

forSale: Properties listed for sale (true/false)
forRent: Properties listed for rent (true/false)
readyToBuild: Ready-to-build properties (true/false)
sold: Sold properties (true/false)
offMarket: Off-market properties (true/false)

Example:

"forSale": true,
"forRent": false,
"readyToBuild": false,
"sold": false,
"offMarket": false

📞 Support

For support or questions feel free to open an issue in this Actor's page. For custom solutions you can contact me by mail or via Discord (look for aitor.sm on Apify's Discord server).

If this actor has been useful to you, please consider to bookmark it on Apify.

Realtor.ca Property Search Scraper

stealth_mode/realtor-property-search-scraper

Scrape comprehensive property listings from Realtor.ca, Canada's official real estate platform. Extract detailed MLS data including prices, photos, property features, and open house schedules. Essential for market analysis, investment research, and real estate intelligence across Canadian provinces.

Stealth mode

5.0

Realtor.ca Canada ($1 per 1000 results)

igolaizola/realtor-canada-scraper-ppe

Scrape Realtor.ca listings across Canada for buy, rent or sold properties. Export structured MLS-style data with prices, beds, baths, agents, photos, filters and URLs for market analysis, comps, investors, brokers and real estate lead generation.

Iñigo Garcia Olaizola

Realtor.ca Canada Unlimited $9 Only 💸

igolaizola/realtor-canada-scraper

Iñigo Garcia Olaizola

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Realtor Canada

canadesk/realtor-canada

Get property listings from realtor.ca! It's fast and costs little.

Canadesk Support

Realtor.ca Scraper | Canada

scrapemind/Realtor-ca-Scraper

Extract real estate listings, property details, and agent information from realtor.ca for any city or search. Download data as JSON, CSV, or Excel for research, lead generation, or analysis.

ScrapeMind

176

5.0

Centris Property Search Scraper

ecomscrape/centris-property-search-scraper

Extract comprehensive property data from Centris.ca, Quebec's largest real estate platform. Our scraper efficiently gathers listings, prices, locations, and property details for market analysis, investment research, and competitive intelligence in the Quebec real estate market.

ecomscrape

Centris Broker Scraper

ocrad/centris-broker-scraper

Extract broker details from Centris.ca, easily scrape data including broker name, phone number, properties listed and more. Perfect for real estate analysis, investment research and market insights.

Ocrad

5.0

Centris Property Details Scraper

ocrad/centris-property-details-scraper

Extract property details from Centris URLs, effortlessly scrape detailed property data including prices, photos, financial details, schools nearby, listing brokers and more. Perfect for real estate analysis, investment research, or market insights.

Ocrad

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DuProprio Property Scraper

aitorsm/duproprio

DuProprio Scraper: Extract comprehensive property data from Canada's leading for-sale-by-owner platform. Get detailed listings, pricing, features, taxes, photos, and more for real estate market research, investment analysis, and lead generation. Perfect for investors, agents, and analysts.

Aitor Sanchez-Mansilla

Centris Property Details Scraper

ecomscrape/centris-property-details-scraper

Advanced Centris.ca property scraper for extracting comprehensive real estate data from Quebec's largest property database. Get detailed property information, broker details, location coordinates, and more from thousands of listings automatically with our professional-grade scraping solution.

ecomscrape