
Realtor Commercial Properties Search Scraper
Pricing
$9.99 / 1,000 results

Realtor Commercial Properties Search Scraper
Search and scrape commercial properties from Realtor Canada with advanced filtering and sorting options using our API wrapper service
5.0 (1)
Pricing
$9.99 / 1,000 results
1
Total users
1
Monthly users
1
Runs succeeded
>99%
Last modified
16 hours ago
You can access the Realtor Commercial Properties Search Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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"runs-sync-powerai-realtor-commercial-properties-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/powerai~realtor-commercial-properties-search-scraper/run-sync": { "post": { "operationId": "run-sync-powerai-realtor-commercial-properties-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "LatitudeMax", "LatitudeMin", "LongitudeMax", "LongitudeMin" ], "properties": { "LatitudeMax": { "title": "Maximum Latitude", "type": "string", "description": "Maximum latitude coordinate for search area", "default": "43.6532" }, "LatitudeMin": { "title": "Minimum Latitude", "type": "string", "description": "Minimum latitude coordinate for search area", "default": "43.6000" }, "LongitudeMax": { "title": "Maximum Longitude", "type": "string", "description": "Maximum longitude coordinate for search area", "default": "-79.3832" }, "LongitudeMin": { "title": "Minimum Longitude", "type": "string", "description": "Minimum longitude coordinate for search area", "default": "-79.4000" }, "SortOrder": { "title": "Sort Order", "enum": [ "A", "D" ], "type": "string", "description": "Sort order for results", "default": "A" }, "SortBy": { "title": "Sort By", "enum": [ "1", "6", "11", "12", "13" ], "type": "string", "description": "Sort field for results", "default": "1" }, "CultureId": { "title": "Culture ID", "enum": [ "1", "2" ], "type": "string", "description": "Culture ID for language preference", "default": "1" }, "NumberOfDays": { "title": "Number of Days", "minimum": 0, "type": "integer", "description": "Number of days on market" }, "Keywords": { "title": "Keywords", "type": "string", "description": "Search keywords (comma-separated)" }, "BedRange": { "title": "Bedroom Range", "type": "string", "description": "Bedroom range (e.g., '1-3')" }, "BathRange": { "title": "Bathroom Range", "type": "string", "description": "Bathroom range (e.g., '1-2')" }, "LandSizeRange": { "title": "Land Size Range", "type": "string", "description": "Land size range" }, "BuildingSizeRange": { "title": "Building Size Range", "type": "string", "description": "Building size range" }, "UnitRange": { "title": "Unit Range", "type": "string", "description": "Unit range" }, "OpenHouseStartDate": { "title": "Open House Start Date", "type": "string", "description": "Open house start date (MM/dd/yyyy format)" }, "OpenHouseEndDate": { "title": "Open House End Date", "type": "string", "description": "Open house end date (MM/dd/yyyy format)" }, "OpenHouse": { "title": "Open House", "type": "boolean", "description": "Enable open house filter" }, "FarmTypeId": { "title": "Farm Type ID", "minimum": 0, "type": "integer", "description": "Farm type ID" }, "PriceMin": { "title": "Minimum Price", "minimum": 0, "type": "integer", "description": "Minimum price" }, "PriceMax": { "title": "Maximum Price", "minimum": 0, "type": "integer", "description": "Maximum price" }, "BuildingTypeId": { "title": "Building Type ID", "minimum": 0, "type": "integer", "description": "Building type ID" }, "ZoningTypeGroupId": { "title": "Zoning Type Group ID", "minimum": 0, "type": "integer", "description": "Zoning type group ID" }, "TransactionTypeId": { "title": "Transaction Type ID", "enum": [ "2", "3" ], "type": "string", "description": "Transaction type ID" }, "ConstructionStyleId": { "title": "Construction Style ID", "minimum": 0, "type": "integer", "description": "Construction style ID" }, "PropertySearchTypeId": { "title": "Property Search Type ID", "minimum": 0, "type": "integer", "description": "Property search type ID" }, "maxResults": { "title": "Max Results", "minimum": 50, "maximum": 50000, "type": "integer", "description": "Maximum number of properties to fetch (default: 50, max: 50000)", "default": 50 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", 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Realtor Commercial Properties Search Scraper OpenAPI definition
OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Realtor Commercial Properties Search Scraper from the options below:
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