# Compreoalquile Panama Real Estate Listings Scraper (`scrapers_lat/compreoalquile-scraper`) Actor
Scrape Compreoalquile real estate listings in Panama. Extract price, area, bedrooms, bathrooms, parking, location, furnished status, advertiser type, agency name, description and photos from any search URL. Export to JSON, CSV or Excel. No login or API key needed.
- **URL**: https://apify.com/scrapers\_lat/compreoalquile-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Real estate, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.00 / 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
[](https://console.apify.com/actors/JC5YabUJfmKnqnPy4/input)
## Compreoalquile Panama Real Estate Listings Scraper
> Extract real estate listings, prices, furnished status and advertiser data from Compreoalquile, one of the largest property portals in Panama.
Sale and rent venta / alquiler
Furnished + advertiser amoblado, owner vs agency
JSON / CSV / Excel output formats
### What you get
Each listing returns a structured record ready to load into any database, spreadsheet, or analytics pipeline:
- **imageUrl**: main property photo
- **title**: full listing title as published
- **price**: numeric asking price
- **currency**: currency of the listing (USD, B/.)
- **operationType**: sale or rent (Venta / Alquiler), derived from the search
- **propertyType**: property category (Apartamento, Casa, Oficina, Local comercial, Terreno)
- **bedrooms**: number of bedrooms, when stated
- **bathrooms**: number of bathrooms, when stated
- **parking**: number of parking spaces, when stated
- **areaM2**: property area in square meters
- **location**: neighborhood or zone of the listing
- **city**: city or district
- **country**: Panamá
- **furnished**: whether the property is furnished (amoblado), when the listing states it
- **advertiserType**: owner (dueño directo) or agency (inmobiliaria)
- **listingId**: unique Compreoalquile listing ID
- **url**: direct link to the listing page
- **description\***: full advertiser description
- **amenities\***: extra facts such as property age, covered area and furnished status
- **images\***: all listing photos
- **sellerName\***: name of the advertiser (owner name or agency name)
- **sellerId\***: unique Compreoalquile advertiser ID
- **sellerCompany\***: real estate company or agency name, for agency listings
- **sellerLicense\***: broker licence number, when the advertiser publishes it
- **phoneAvailable\***: true when the listing exposes a phone or WhatsApp contact
- **latitude\***: map latitude, when the listing exposes it
- **longitude\***: map longitude, when the listing exposes it
- **observedAt**: when this listing was last seen by the scraper
*\*These fields only appear when withDetails is set to true.*
### Who is it for
| Use case | Who benefits |
|---|---|
| Price monitoring | Real estate teams tracking asking prices and rents in Panama |
| Market research | Analysts studying housing supply and pricing by zone |
| Lead generation | Agencies sourcing active listings, owners and agency contacts |
| Data pipelines | Developers feeding BI tools or property portals |
| Investment analysis | Investors benchmarking neighborhoods and property types |
### Frequently Asked Questions
**What does the Compreoalquile scraper cover?**
It covers real estate listings across Panama on Compreoalquile: apartments, houses, offices, commercial spaces and land, for both sale and rent. Paste any search URL from the site and the actor collects the matching listings.
**How many listings can I collect per run?**
There is no hard limit imposed by the actor. A single category on Compreoalquile can span hundreds of pages, so you can collect thousands of records. Use the Max Items input to cap the run when you only need a sample.
**Can I filter by operation, property type, zone, price, bedrooms, furnished or owner?**
Yes. Apply any filters directly on Compreoalquile, then copy the resulting search URL into the actor input. Every filter encoded in the URL is respected automatically, including sale or rent, property type, zona, precio, recámaras, amoblado (furnished) and dueño directo (owner only).
**What is the difference between the basic and detailed output?**
By default the actor returns the listing-level fields visible on the results page. When you enable Fetch listing details, each record is enriched with the full description, the complete photo gallery, amenities, furnished status, advertiser type, agency name and licence.
**How does the actor tell an owner from an agency?**
Compreoalquile publishes an advertiser type on every listing. The actor maps it to advertiserType: owner for private owners (dueño directo) and agency for real estate companies and developers. Agency listings also return the company name and licence when published.
**What happens if a listing is missing some data?**
The actor keeps the record and leaves any unavailable field empty rather than failing. Land lots have no bedroom or bathroom counts, new developments list ranges instead of single values, and some listings do not expose map coordinates, so those fields can be empty for specific records. The actor never invents a value.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Apartments for Sale in Panama](https://apify.com/scrapers_lat/compreoalquile-scraper/examples/apartments-for-sale-panama): Scrape apartments for sale across Panama: price, area, bedrooms, bathrooms, parking, location and agency.
- [Apartments for Rent in Panama](https://apify.com/scrapers_lat/compreoalquile-scraper/examples/apartments-for-rent-panama): Scrape apartment rentals in Panama with monthly price, area, rooms, furnished status and advertiser.
- [Houses for Sale in Panama](https://apify.com/scrapers_lat/compreoalquile-scraper/examples/houses-for-sale-panama): Scrape houses for sale in Panama: price, lot area, bedrooms, bathrooms, location and seller type.
- [Houses for Rent in Panama](https://apify.com/scrapers_lat/compreoalquile-scraper/examples/houses-for-rent-panama): Scrape house rentals in Panama with price, area, rooms, furnished status and contact type.
- [Offices for Sale in Panama](https://apify.com/scrapers_lat/compreoalquile-scraper/examples/offices-for-sale-panama): Scrape commercial offices for sale in Panama: price, area, location and advertiser.
- [Commercial Retail for Rent in Panama](https://apify.com/scrapers_lat/compreoalquile-scraper/examples/retail-for-rent-panama): Scrape commercial retail units for rent in Panama with price, area and location.
- [Land and Lots for Sale in Panama](https://apify.com/scrapers_lat/compreoalquile-scraper/examples/land-for-sale-panama): Scrape land and lots for sale in Panama with price, lot area and location.
- [Apartments for Sale in Panama Oeste](https://apify.com/scrapers_lat/compreoalquile-scraper/examples/apartments-sale-panama-oeste): Scrape apartments for sale filtered by the Panama Oeste province: price, area and rooms.
- [Furnished Apartments for Rent in Panama](https://apify.com/scrapers_lat/compreoalquile-scraper/examples/furnished-apartments-rent-panama): Scrape furnished apartment rentals in Panama with price, area, rooms and amenities.
- [Owner Direct Apartments for Sale in Panama](https://apify.com/scrapers_lat/compreoalquile-scraper/examples/owner-direct-apartments-panama): Scrape apartments for sale published directly by owners in Panama, no agency, with owner contact type.
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [Encuentra24 Real Estate Listings Scraper (Central America)](https://apify.com/scrapers_lat/encuentra24-scraper): Scrape Encuentra24 real estate listings across Panama, Costa Rica, Nicaragua, El Salvador and Guatemala.
- [Metrocuadrado Colombia Real Estate Listings Scraper](https://apify.com/scrapers_lat/metrocuadrado-scraper): Scrape Metrocuadrado property listings in Colombia. Extract price, area, rooms, location and more.
- [Fincaraiz Colombia Real Estate Listings Scraper](https://apify.com/scrapers_lat/fincaraiz-scraper): Scrape Fincaraiz property listings in Colombia. Extract price, currency, operation, property type and more.
- [InfoCasas Real Estate Listings Scraper](https://apify.com/scrapers_lat/infocasas-scraper): Scrape Infocasas real estate listings across Uruguay, Paraguay and more.
- [Urbania Peru Property Listings Scraper](https://apify.com/scrapers_lat/urbania-scraper): Scrape Urbania property listings in Peru. Extract price, currency, operation, property type and more.
- [Lamudi Real Estate Listings Scraper](https://apify.com/scrapers_lat/lamudi-scraper): Scrape Lamudi property listings. Extract price, area, rooms, location, agent and more.
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Compreoalquile. It only accesses data that is publicly available on the platform. Use it in accordance with Compreoalquile's terms of service.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of listings to collect. Optional.
## `withDetails` (type: `boolean`):
When enabled, the actor opens each listing and returns enriched records with the full description, image gallery, amenities, furnished status, advertiser type, agency name and licence. When disabled, only the listing-level fields from the search results are returned (much faster).
## `startUrl` (type: `string`):
A full Compreoalquile search results URL, for example https://www.compreoalquile.com/apartamentos-en-venta.html or any filtered search. Every filter encoded in the URL is respected automatically: operation (venta or alquiler), property type (apartamentos, casas, oficinas, locales, terrenos), zona, precio, recámaras, amoblado (furnished) and dueño directo (owner only). Paste the URL from your browser after applying filters on the site.
## Actor input object example
```json
{
"maxItems": 10,
"withDetails": true,
"startUrl": "https://www.compreoalquile.com/apartamentos-en-venta.html"
}
````
# Actor output Schema
## `results` (type: `string`):
No description
# 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 = {
"maxItems": 10,
"startUrl": "https://www.compreoalquile.com/apartamentos-en-venta.html"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/compreoalquile-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 = {
"maxItems": 10,
"startUrl": "https://www.compreoalquile.com/apartamentos-en-venta.html",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/compreoalquile-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 '{
"maxItems": 10,
"startUrl": "https://www.compreoalquile.com/apartamentos-en-venta.html"
}' |
apify call scrapers_lat/compreoalquile-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/compreoalquile-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Compreoalquile Panama Real Estate Listings Scraper",
"description": "Scrape Compreoalquile real estate listings in Panama. Extract price, area, bedrooms, bathrooms, parking, location, furnished status, advertiser type, agency name, description and photos from any search URL. Export to JSON, CSV or Excel. No login or API key needed.",
"version": "0.1",
"x-build-id": "sOifVOavVe809pOjM"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~compreoalquile-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-compreoalquile-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~compreoalquile-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-compreoalquile-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~compreoalquile-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-compreoalquile-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"startUrl"
],
"properties": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of listings to collect. Optional."
},
"withDetails": {
"title": "Fetch listing details",
"type": "boolean",
"description": "When enabled, the actor opens each listing and returns enriched records with the full description, image gallery, amenities, furnished status, advertiser type, agency name and licence. When disabled, only the listing-level fields from the search results are returned (much faster).",
"default": true
},
"startUrl": {
"title": "Search URL",
"type": "string",
"description": "A full Compreoalquile search results URL, for example https://www.compreoalquile.com/apartamentos-en-venta.html or any filtered search. Every filter encoded in the URL is respected automatically: operation (venta or alquiler), property type (apartamentos, casas, oficinas, locales, terrenos), zona, precio, recámaras, amoblado (furnished) and dueño directo (owner only). Paste the URL from your browser after applying filters on the site."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```