# Angocasa Scraper (`dadhalfdev/angocasa-scraper`) Actor Scrape property listings from Angocasa, Angola’s leading real estate portal. Extract prices, descriptions, images, locations, features, seller details, phone/WhatsApp contacts, and publication dates from listing and detail pages. - **URL**: https://apify.com/dadhalfdev/angocasa-scraper.md - **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community) - **Categories:** Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Angocasa Scraper Scrape structured real estate listings from [Angocasa](https://www.angocasa.com/), Angola's leading real estate portal for buying, selling, renting, and short-stay properties. This Actor starts from an Angocasa listing/search URL, follows pagination until it reaches your `max_properties` limit, opens each property detail page, and saves clean property records to the dataset. The scraped values are kept in **Portuguese**, exactly as Angocasa publishes them. Field names are in English for easier integration, but values such as `Usado`, `Arrendar`, `Estadia Curta`, `Sim`, `Não`, `Apartamento`, and feature names remain in Portuguese. ![Angocasa Website](https://i.ibb.co/27jMLN3t/Screenshot-From-2026-04-25-18-27-26.png) ### What It Extracts The first dataset fields are ordered for quick review: | Field | Description | | --- | --- | | `angocasa_id` | Angocasa property ID, without the leading `#` | | `title` | Property title | | `published_at` | Publication date as an ISO datetime | | `image_url` | Main preview/gallery image URL | | `price` | Numeric property price as a float | | `currency` | Currency code/symbol from the price text, e.g. `AKZ` | | `description` | Full visible property description | Additional fields include: | Field | Description | | --- | --- | | `url` | Property detail page URL | | `property_state` | Property state, e.g. `Usado` | | `typology` | Typology, e.g. `T1`, `T2`, `T3` | | `business_type` | Business type, e.g. `Comprar`, `Arrendar`, `Estadia Curta` | | `furnished` | Boolean parsed from `Mobilada?`: `true` for `Sim`, `false` for `Não` | | `property_type` | Property type, e.g. `Apartamento`, `Vivenda`, `Terreno` | | `minimum_nights` | Minimum short-stay nights as an integer, when present | | `bathrooms` | Number of bathrooms as an integer | | `build_year` | Construction year as an integer | | `usable_area` | Usable area as a float | | `land_area` | Land area as a float | | `exterior` | Exterior features as a list | | `interior` | Interior features as a list | | `other_extras` | Other extra features as a list | | `country` | Country | | `region` | Region/province | | `locality` | Locality/neighborhood | | `seller_name` | Seller or agency name | | `seller_registered` | Seller registration date as an ISO datetime | | `seller_location` | Seller location | | `contact_phone` | Main phone number from the property page | | `contact_whatsapp` | WhatsApp number from the property page | ### Portuguese Output Values Outputs preserve Angocasa's original Portuguese text. Here are common values you may see: | Portuguese value | English meaning | Common field | | --- | --- | --- | | `Comprar` | Buy | `business_type` | | `Arrendar` | Rent | `business_type` | | `Estadia Curta` | Short stay | `business_type` | | `Usado` | Used | `property_state` | | `Novo` | New | `property_state` | | `Sim` | Yes | source value for `furnished` | | `Não` | No | source value for `furnished` | | `Apartamento` | Apartment | `property_type` | | `Vivenda` | House / villa | `property_type` | | `Terreno` | Land | `property_type` | | `Área útil` | Usable area | source label for `usable_area` | | `Área do terreno` | Land area | source label for `land_area` | | `Casas de banho` | Bathrooms | source label for `bathrooms` | | `Cozinha equipada` | Equipped kitchen | `interior` | | `Ar condicionado` | Air conditioning | `interior` | | `Segurança 24 horas/dia` | 24-hour security | `other_extras` | | `Reservatório de água` | Water tank/reservoir | `other_extras` | One exception: `furnished` is normalized to a boolean in the dataset (`true` for `Sim`, `false` for `Não`). ### Input Provide an Angocasa listing URL and the number of properties to scrape. ```json { "input_url": "https://www.angocasa.com/anuncios/apartamento-t1/angola-luanda/listar-todos/mostrar-20/ordenar-mais-baratos/", "max_properties": 50 } ```` | Parameter | Type | Default | Description | | --- | --- | --- | --- | | `input_url` | string | Angocasa apartment search URL | Full Angocasa search/listing URL with any filters already applied | | `max_properties` | integer | `100` | Maximum number of property detail pages to scrape | `max_properties` is limited by the Actor input schema to a minimum of `10` and a maximum of `150`. ### Output Example ```json { "angocasa_id": "0174004", "title": "APARTAMENTO T3 EM KILAMBA", "published_at": "2026-01-15T00:00:00", "image_url": "https://cdn.angocasa.com/images/content/a/p/apartamento-t3-big-o2hais76qe.jpg", "price": 25000.0, "currency": "AKZ", "description": "Apartamento de tipologia T2 para arrendamento de curta duração...", "url": "https://www.angocasa.com/apartamento/t3/luanda/kilamba/arrendar-apartamento-t2-no-kk5000-centralidade-do-kilamba/0174004/", "property_state": "Usado", "typology": "T3", "business_type": "Estadia Curta", "furnished": true, "property_type": "Apartamento", "minimum_nights": 7, "bathrooms": 2, "build_year": null, "usable_area": null, "land_area": null, "exterior": null, "interior": null, "other_extras": null, "country": "Angola", "region": "Luanda", "locality": "Kilamba", "seller_name": "Agência Premium", "seller_registered": "2020-04-29T00:00:00", "seller_location": "Luanda", "contact_phone": "946525295", "contact_whatsapp": "+244946525295" } ``` ### Notes - The scraper reads property details from Angocasa detail pages, including the `dl` property information block and seller contact block. - Short-stay fields such as `minimum_nights` are only populated when Angocasa shows them on the page. - Feature lists such as `interior`, `exterior`, and `other_extras` are returned as arrays when present. - Missing fields are returned as `null` so exports keep a stable shape. # Actor input Schema ## `input_url` (type: `string`): The input URL with the filters applied. ## `max_properties` (type: `integer`): The maximum number of properties to be scraped. ## Actor input object example ```json { "input_url": "https://www.angocasa.com/anuncios/apartamento-t1/angola-luanda/listar-todos/mostrar-20/ordenar-mais-baratos/", "max_properties": 100 } ``` # Actor output Schema ## `overview` (type: `string`): Table view of scraped Angocasa properties using the dataset 'overview' view. ## `results` (type: `string`): All scraped Angocasa properties from the default dataset without view transformation. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("dadhalfdev/angocasa-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("dadhalfdev/angocasa-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call dadhalfdev/angocasa-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dadhalfdev/angocasa-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Angocasa Scraper", "description": "Scrape property listings from Angocasa, Angola’s leading real estate portal. Extract prices, descriptions, images, locations, features, seller details, phone/WhatsApp contacts, and publication dates from listing and detail pages.", "version": "0.1", "x-build-id": "9CBKw6nZ29iZ1dpf5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dadhalfdev~angocasa-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dadhalfdev-angocasa-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dadhalfdev~angocasa-scraper/runs": { "post": { "operationId": "runs-sync-dadhalfdev-angocasa-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dadhalfdev~angocasa-scraper/run-sync": { "post": { "operationId": "run-sync-dadhalfdev-angocasa-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "input_url": { "title": "Input URL", "type": "string", "description": "The input URL with the filters applied.", "default": "https://www.angocasa.com/anuncios/apartamento-t1/angola-luanda/listar-todos/mostrar-20/ordenar-mais-baratos/" }, "max_properties": { "title": "Maximum number of properties", "minimum": 10, "maximum": 150, "type": "integer", "description": "The maximum number of properties to be scraped.", "default": 100 } } }, "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", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "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": "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 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```