# Capasapo Propertydetails Spider (`getdataforme/capasapo-propertydetails-spider`) Actor
Extract comprehensive property details from CasaSapo, Portugal's leading real estate platform. Scrape pricing, location, agent contacts, and features from multiple URLs, delivering structured JSON with geolocation and energy metrics....
- **URL**: https://apify.com/getdataforme/capasapo-propertydetails-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $9.00 / 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.
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
### Description
Extract comprehensive property details from CasaSapo, Portugal's leading real estate platform. Scrape pricing, location, agent contacts, and features from multiple URLs, delivering structured JSON with geolocation and energy metrics....
---
## Capasapo Propertydetails Spider
The Capasapo Propertydetails Spider is an Apify Actor designed to extract comprehensive property details from CasaSapo, Portugal's leading real estate platform. It scrapes key information such as pricing, location, agent contacts, and property features from individual property URLs, enabling users to gather structured data for analysis or integration. This tool is invaluable for real estate professionals, researchers, and businesses seeking reliable, up-to-date property insights.
### Features
- **Comprehensive Data Extraction**: Captures detailed property attributes including name, price, location, agent information, and descriptions.
- **High Accuracy and Reliability**: Built with robust scraping techniques to ensure data integrity and minimize errors.
- **Flexible Input Handling**: Accepts multiple property URLs for batch processing, supporting efficient large-scale data collection.
- **Structured JSON Output**: Delivers clean, machine-readable data ideal for downstream processing or storage.
- **Performance Optimized**: Handles requests efficiently with built-in delays to respect website policies and avoid blocks.
- **Geolocation Support**: Includes latitude and longitude for mapping and geospatial analysis.
- **Energy and Usage Metrics**: Extracts energy certifications, views, clicks, and publication dates for in-depth insights.
### Input Parameters
| Parameter | Type | Required | Description | Example |
|-----------|------|----------|-------------|---------|
| PropertyUrls | array | Yes | A list of URLs pointing to individual CasaSapo property pages to scrape. Each URL must be a valid HTTP/HTTPS link. | ["https://casa.sapo.pt/en-gb/buy-apartment-3-bedrooms-olhao-quelfes-61be6646-efa7-11f0-a463-060000000052.html?g3pid=1072501"] |
### Example Usage
To run the Actor, provide the input parameters in JSON format:
```json
{
"PropertyUrls": [
"https://casa.sapo.pt/en-gb/buy-apartment-3-bedrooms-olhao-quelfes-61be6646-efa7-11f0-a463-060000000052.html?g3pid=1072501"
]
}
````
The Actor will output a JSON array of objects, each containing detailed property information. Example output:
```json
[
{
"name": "Apartment 3 Bedrooms Quelfes, Olhão",
"category": "Apartments",
"price": "420.000 €",
"deal_type": "buy",
"image": "https://media.casasapo.pt/Z720x540/OAYES/S5/C2465/P29094637/Tphoto/IDedf2bb01-0000-0500-0000-000018230d74.jpg",
"country": "PT",
"city": "Olhão",
"region": "Quelfes",
"latitude": 37.0379826848,
"longitude": -7.8356925336,
"agent_name": "Algarmed - Mediação Imobiliária",
"agent_website": "http://algarmed.pt",
"agent_phone": "+351 289588825",
"agent_address": "Av. da Liberdade 138
8200 002 Abufeira",
"property_type_full": "Apartment 3 Bedrooms for buy in Olhão, Quelfes",
"quick_features": "127m²",
"description": "Modern apartment located on the second floor of a quiet and well-maintained building with elevator in Olhão. It comprises 3 bright bedrooms, one en-suite, all equipped with individual air conditioning, 2 bathrooms, and a living room with an open-plan kitchen, providing an excellent family living environment. The spacious living room, also air-conditioned and equipped with a television, offers a pleasant and bright living space, with access to a terrace perfect for outdoor leisure. The kitchen is fully equipped with modern, high-quality appliances. Two modern bathrooms complete this property, providing functionality and comfort in everyday life. It also includes a private garage, adding security and convenience. The apartment is sold unfurnished and unequipped, however, there is the possibility of selling it as is, subject to negotiation.",
"condition": null,
"floor_area": "154m²",
"serial_number": "CasaSAPO_AGM-MCD008",
"energy_certification": "A +",
"views": "1,790",
"clicks": "67",
"published": "more than a month",
"source_url": "https://casa.sapo.pt/en-gb/buy-apartment-3-bedrooms-olhao-quelfes-61be6646-efa7-11f0-a463-060000000052.html?g3pid=1072501",
"actor_id": "uS04vHGTOJKk1iMyY",
"run_id": "wGdffc3oaR8QyL5OT"
}
]
```
### Use Cases
- **Market Research and Analysis**: Analyze property prices, trends, and availability across regions for investment decisions.
- **Competitive Intelligence**: Monitor competitors' listings and agent performance in the real estate market.
- **Price Monitoring**: Track price changes and market fluctuations for specific properties or areas.
- **Content Aggregation**: Build databases of property details for websites, apps, or reports.
- **Academic Research**: Study housing markets, demographics, and economic indicators using structured data.
- **Business Automation**: Integrate scraped data into CRM systems or automated workflows for lead generation.
### Installation and Usage
1. Search for "Capasapo Propertydetails Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)
### Output Format
The output is a JSON array of objects, each representing a scraped property. Key fields include basic details like `name`, `price`, and `deal_type`; location data such as `country`, `city`, `region`, `latitude`, and `longitude`; agent information including `agent_name`, `agent_website`, `agent_phone`, and `agent_address`; property specifics like `property_type_full`, `quick_features`, `description`, `floor_area`, and `energy_certification`; engagement metrics such as `views` and `clicks`; and metadata like `published`, `source_url`, `actor_id`, and `run_id`. This structure ensures easy parsing and integration.
### Support
For custom/simplified outputs or bug reports, please contact:
- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/
We're here to help you get the most out of this Actor!
# Actor input Schema
## `PropertyUrls` (type: `array`):
The property urls for the spider.
## Actor input object example
```json
{
"PropertyUrls": [
"https://casa.sapo.pt/en-gb/buy-apartment-3-bedrooms-olhao-quelfes-61be6646-efa7-11f0-a463-060000000052.html?g3pid=1072501"
]
}
```
# Actor output Schema
## `results` (type: `string`):
Scraped data items from dataset
# 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("getdataforme/capasapo-propertydetails-spider").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("getdataforme/capasapo-propertydetails-spider").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 getdataforme/capasapo-propertydetails-spider --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/capasapo-propertydetails-spider",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Capasapo Propertydetails Spider",
"description": "Extract comprehensive property details from CasaSapo, Portugal's leading real estate platform. Scrape pricing, location, agent contacts, and features from multiple URLs, delivering structured JSON with geolocation and energy metrics....",
"version": "0.0",
"x-build-id": "eVuVGi2dk2FGQMoVh"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~capasapo-propertydetails-spider/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-capasapo-propertydetails-spider",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~capasapo-propertydetails-spider/runs": {
"post": {
"operationId": "runs-sync-getdataforme-capasapo-propertydetails-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~capasapo-propertydetails-spider/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-capasapo-propertydetails-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"PropertyUrls": {
"title": "Property Urls",
"minItems": 1,
"type": "array",
"description": "The property urls for the spider.",
"default": [
"https://casa.sapo.pt/en-gb/buy-apartment-3-bedrooms-olhao-quelfes-61be6646-efa7-11f0-a463-060000000052.html?g3pid=1072501"
],
"items": {
"type": "string"
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```