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Futurehome.al Scraper: Albania Real Estate, Offices & Agents

Try for free

Scrape Futurehome.al, the Future Home real estate network in Albania: sale and rent listings with price in EUR or Lek, area, bedrooms, floor, coordinates and photos, plus offices and agents. Export CSV, Excel, JSON, XML.

Pricing

from $18.00 / 1,000 listings

Rating

0.0

(0)

Developer

RecordsData

Actor stats

Bookmarked

Total users

Monthly active users

13 days ago

Last modified

Categories

Real estate

Lead generation

You can access the Futurehome.al Scraper: Albania Real Estate, Offices & Agents 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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      "inputSchema": {
        "type": "object",
        "properties": {
          "startUrls": {
            "title": "Start URLs",
            "type": "array",
            "description": "Optional futurehome.al pages to read: an ad (futurehome.al/property/8081324/...), an office page (futurehome.al/office/future%20home%20unaza.html), an agent page (futurehome.al/agent/269-anisa-hysenbelliu.html), the offices list (futurehome.al/offices), the agents list (futurehome.al/agents) or any search or category page such as futurehome.al/vila-me-qera or futurehome.al/properties?business_type=sale&city=Durres. A search page brings its own filters, so the filters below are ignored for it. Leave empty to search with the filters below.",
            "default": [],
            "items": {
              "type": "object",
              "required": [
                "url"
              ],
              "properties": {
                "url": {
                  "type": "string",
                  "title": "URL of a web page",
                  "format": "uri"
                }
              }
            }
          },
          "listingIds": {
            "title": "Ad IDs",
            "type": "array",
            "description": "Optional list of ad ids (the number in the ad URL, for example 8081324) or full ad URLs. These ads are fetched directly with their full detail and the search filters are not applied to them. An id that is gone returns one free error row.",
            "default": [],
            "items": {
              "type": "string"
            }
          },
          "references": {
            "title": "Reference codes",
            "type": "array",
            "description": "Optional list of reference codes exactly as shown on the ads (for example UNA17267 or AREA75192). Each code returns the ad that carries it, sale or rent. A code nobody uses returns one free error row.",
            "default": [],
            "items": {
              "type": "string"
            }
          },
          "maxItems": {
            "title": "Max Items",
            "minimum": 1,
            "maximum": 1000000,
            "type": "integer",
            "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000"
          },
          "recordTypes": {
            "title": "Record types",
            "type": "array",
            "description": "What to return. Listings: one row per ad (price in EUR or Lek, area, bedrooms, floor, address, coordinates, photos, agent and office). Offices: one row per Future Home office (address, city, ad count). Agents: one row per licensed agent (name, role, office). Every row counts toward Max Items; listings come first, then offices, then agents.",
            "items": {
              "type": "string",
              "enum": [
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                "offices",
                "agents"
              ],
              "enumTitles": [
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                "Offices",
                "Agents"
              ]
            },
            "default": [
              "listings"
            ]
          },
          "fetchDetails": {
            "title": "Fetch full ad details",
            "type": "boolean",
            "description": "Open every ad for the full description, street address, coordinates, all photos, floor, views, publication date and the agent and office behind it. Billed as the listing-detail event on top of the listing. Turn off for a cheaper and faster list-only pass (price, bedrooms, bathrooms, area, place name, reference code and one photo).",
            "default": true
          },
          "operation": {
            "title": "Operation",
            "enum": [
              "sale",
              "rent",
              "both"
            ],
            "type": "string",
            "description": "Sale, monthly rent, or both. Every row says which one it is in the operation field. Rents are monthly.",
            "default": "sale"
          },
          "propertyTypes": {
            "title": "Property types",
            "type": "array",
            "description": "Only these property types. Leave empty for all of them. Each type is scanned in turn, so a small Max Items still mixes the types.",
            "items": {
              "type": "string",
              "enum": [
                "apartment",
                "duplex",
                "house",
                "villa",
                "studio",
                "penthouse",
                "bar-restaurant",
                "business-building",
                "commercial",
                "hotel",
                "warehouse",
                "shopping-mall",
                "office",
                "resort",
                "garage",
                "land"
              ],
              "enumTitles": [
                "Apartment",
                "Duplex",
                "House",
                "Villa",
                "Studio (garsoniere)",
                "Penthouse",
                "Bar / restaurant",
                "Business building",
                "Commercial space",
                "Hotel",
                "Warehouse / pavilion",
                "Shopping mall",
                "Office",
                "Resort",
                "Garage / parking",
                "Land"
              ]
            },
            "default": []
          },
          "cities": {
            "title": "Cities",
            "type": "array",
            "description": "Only ads in these cities, for example Tirana, Durres, Vlore, Sarande or Shkoder. Accents and capitals do not matter (Durrës and durres both work) and every spelling the site uses for the town is included. Offices are filtered by city too. Leave empty for all of Albania.",
            "default": [],
            "items": {
              "type": "string"
            }
          },
          "zones": {
            "title": "Neighbourhoods",
            "type": "array",
            "description": "Only ads in these neighbourhoods, as named in the site search, for example Blloku, Komuna e Parisit or Kodra e Diellit. Accents and capitals do not matter; a part of a name matches every neighbourhood that contains it (up to 12). Can be combined with Cities.",
            "default": [],
            "items": {
              "type": "string"
            }
          },
          "bedrooms": {
            "title": "Bedrooms",
            "type": "array",
            "description": "Only ads with exactly this number of bedrooms, from 1 to 5, for example [2, 3]. Each value is scanned in turn. The site counts bedrooms as the number before the plus in 2+1. Leave empty for any.",
            "default": [],
            "items": {
              "type": "string"
            }
          },
          "bathrooms": {
            "title": "Bathrooms",
            "minimum": 0,
            "maximum": 5,
            "type": "integer",
            "description": "Only ads with exactly this number of bathrooms, from 1 to 5. Leave empty or 0 for any."
          },
          "minPrice": {
            "title": "Min price (EUR)",
            "minimum": 0,
            "type": "integer",
            "description": "Lowest price in euros (monthly rent in euros for rentals). The site filters on the euro price. Leave empty or 0 for no minimum."
          },
          "maxPrice": {
            "title": "Max price (EUR)",
            "minimum": 0,
            "type": "integer",
            "description": "Highest price in euros (monthly rent in euros for rentals). Leave empty or 0 for no maximum."
          },
          "minArea": {
            "title": "Min area (m2)",
            "minimum": 0,
            "type": "integer",
            "description": "Smallest area in square meters, as the site search measures it. Leave empty or 0 for no minimum."
          },
          "maxArea": {
            "title": "Max area (m2)",
            "minimum": 0,
            "type": "integer",
            "description": "Largest area in square meters, as the site search measures it. Leave empty or 0 for no maximum."
          },
          "keyword": {
            "title": "Keyword",
            "type": "string",
            "description": "Optional word searched by the site in titles and descriptions, for example a street, a building name or pool. Leave empty to skip.",
            "default": ""
          },
          "maxRunSeconds": {
            "title": "Max run time (seconds)",
            "minimum": 30,
            "maximum": 86400,
            "type": "integer",
            "description": "Stop collecting after this many seconds and return what was gathered, so a very wide search never runs unbounded.",
            "default": 1800
          },
          "onlyNew": {
            "title": "Only new rows (monitor mode)",
            "type": "boolean",
            "description": "Only new rows: skip every ad, office or agent this same search already returned in an earlier run, so a scheduled run returns just the new ones and you are not charged for skipped rows. Max Items then means N new rows. Off by default.",
            "default": false
          },
          "stateKey": {
            "title": "Monitor name (optional)",
            "type": "string",
            "description": "Name of this monitor. Leave empty to derive it from your filters. Use a name to run two monitors with the same filters.",
            "default": ""
          },
          "resetSeen": {
            "title": "Forget previously seen rows",
            "type": "boolean",
            "description": "Clear the saved list for this monitor before the run, so everything counts as new again.",
            "default": false
          },
          "includeContactDetails": {
            "title": "Include business contact data",
            "type": "boolean",
            "description": "Add the business contacts the agency publishes on its public pages: the agent e-mail, phone and WhatsApp number, the office phone, and phone numbers or e-mails written inside ad descriptions. Without it those are removed and the rows keep only names, roles and the office. Off by default.",
            "default": false
          },
          "proxyConfiguration": {
            "title": "Proxy configuration",
            "type": "object",
            "description": "Not needed: runs of up to 50 rows read futurehome.al directly at a polite pace of about one request every 2.4 seconds. The site slows each IP down, so for bigger scans the actor uses the Apify datacenter proxy by itself (about ten times faster) and falls back to it if a small run gets throttled. Switch the proxy on here to force it from the first request.",
            "default": {
              "useApifyProxy": false
            }
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
              },
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                "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": {
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                "properties": {
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                    "example": "latest"
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                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
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                  "KEY_VALUE_STORE_LISTS": {
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                  "REQUEST_QUEUE_READS": {
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                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
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                  "DATA_TRANSFER_INTERNAL_GBYTES": {
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                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
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                    "type": "integer",
                    "example": 0
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                    "type": "integer",
                    "example": 0
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              },
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                "type": "number",
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              },
              "usageUsd": {
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                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
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                  "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": "number",
                    "example": 0.00005
                  },
                  "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
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                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_UNBLOCKER_UNITS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Futurehome.al Scraper: Albania Property Listings & Agents 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 Futurehome.al Scraper: Albania Real Estate, Offices & Agents from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Futurehome.al Scraper: Albania Real Estate, Offices & Agents API in Python

Futurehome.al Scraper: Albania Real Estate, Offices & Agents API in JavaScript

Futurehome.al Scraper: Albania Real Estate, Offices & Agents API through CLI

Futurehome.al Scraper: Albania Real Estate, Offices & Agents API

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