{
  "openapi": "3.0.1",
  "info": {
    "title": "Imovirtual Property Discovery Scraper",
    "description": "Discover public Imovirtual property listings by location, operation, and property type. Extract prices, areas, rooms, seller labels, images, and listing URLs.",
    "version": "0.1",
    "x-build-id": "uWG4BSLSTph0qRLhs"
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        "operationId": "run-sync-trovevault-imovirtual-property-discovery-scraper",
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  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "required": [
          "location",
          "operation",
          "propertyType"
        ],
        "properties": {
          "location": {
            "title": "Location",
            "type": "string",
            "description": "City, region, or country to search. Use English names when possible, for example Lisbon, Portugal; Porto; Madrid; United States. City-level searches are usually more precise and stable than whole-country searches.",
            "default": "Lisbon, Portugal"
          },
          "operation": {
            "title": "Operation",
            "enum": [
              "sale",
              "rent"
            ],
            "type": "string",
            "description": "Choose whether to discover properties offered for sale or for rent.",
            "default": "sale"
          },
          "propertyType": {
            "title": "Property Type",
            "enum": [
              "any",
              "apartment",
              "house",
              "land",
              "commercial"
            ],
            "type": "string",
            "description": "Choose the type of property to discover. Use Any to return the broadest listing set supported by Imovirtual.",
            "default": "apartment"
          },
          "maxItems": {
            "title": "Maximum Items",
            "minimum": 1,
            "maximum": 1000,
            "type": "integer",
            "description": "Maximum number of property listings to return. Use smaller values for quick checks and higher values for broader market discovery.",
            "default": 3
          },
          "datasetId": {
            "title": "Dataset ID",
            "type": "string",
            "description": "Optional Apify dataset ID to append each saved listing to, in addition to this run's default dataset. Use this when chaining multiple discovery actors into one shared dataset."
          },
          "runId": {
            "title": "Run ID",
            "type": "string",
            "description": "Optional external or Apify run ID copied into each output row and RUN_SUMMARY. Use this to trace listings back to a parent workflow run."
          }
        }
      },
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              "userId": {
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                "type": "string",
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              },
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                "type": "object",
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                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
                "properties": {
                  "inputBodyLen": {
                    "type": "integer",
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                  },
                  "rebootCount": {
                    "type": "integer",
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                    "type": "integer",
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                  "computeUnits": {
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              },
              "options": {
                "type": "object",
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                  "timeoutSecs": {
                    "type": "integer",
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                  },
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                    "type": "integer",
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                  "diskMbytes": {
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              },
              "buildId": {
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              "defaultKeyValueStoreId": {
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              "defaultDatasetId": {
                "type": "string"
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              "defaultRequestQueueId": {
                "type": "string"
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              "buildNumber": {
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              "containerUrl": {
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              "usage": {
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                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
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                  },
                  "DATASET_READS": {
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                  "KEY_VALUE_STORE_WRITES": {
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              "usageTotalUsd": {
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              },
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                  "DATASET_READS": {
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                  "DATASET_WRITES": {
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                    "example": 0
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                  "KEY_VALUE_STORE_WRITES": {
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                  "KEY_VALUE_STORE_LISTS": {
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                    "example": 0
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