# Urbania Scraper (`scrapers_lat/urbania-scraper`) Actor
Scrape Urbania property listings in Peru. Extract price, currency, operation, property type, bedrooms, bathrooms, area, district, images, publisher and coordinates from sale and rent listings.
- **URL**: https://apify.com/scrapers\_lat/urbania-scraper.md
- **Developed by:** [Michael Flores](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 $8.00 / 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
## Urbania Scraper
> Extract real estate listings, prices, and agent data from Urbania, Peru's leading property marketplace with more than 30,000 active listings for sale and rent.
19 fields per record
Peru coverage
JSON / CSV / Excel output formats
Updated 2026-06-19
### What you get
Each listing returns a structured record ready to load into any database, spreadsheet, or analytics pipeline:
- **imageUrl**: main listing photo
- **title**: listing headline as published
- **price**: numeric price value
- **currency**: PEN or USD
- **operationType**: venta or alquiler
- **propertyType**: apartment, house, project, office, land, and similar
- **bedrooms**: number of bedrooms
- **bathrooms**: number of bathrooms
- **totalAreaM2**: total surface in square meters
- **location**: district and city
- **url**: direct link to the listing page
- **listingId**: unique Urbania posting ID
- **builtAreaM2\***: covered or built surface in square meters
- **description\***: full listing description text
- **amenities\***: list of property features and amenities
- **images\***: full image gallery
- **publisher\***: agency or agent name, profile link, and logo
- **coordinates\***: latitude and longitude of the property
- **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 agencies tracking the Peru market |
| Market research | Analysts studying district-level pricing and supply |
| Investment screening | Investors comparing yields across neighborhoods |
| Data pipelines | Developers feeding BI tools or property portals |
| Lead generation | Brokers sourcing agency and listing contacts |
### Frequently Asked Questions
**What areas of Peru does it cover?**
The actor covers every location listed on urbania.pe, including Lima, Arequipa, Trujillo, Cusco, and other Peruvian cities. Apply any location or filter on urbania.pe and paste the resulting search URL into the input.
**How many listings can I scrape in one run?**
There is no hard cap in the actor. Urbania search results typically return up to several thousand listings per query across many pages. Use the Max Items input to limit the run, or split large queries by district or property type.
**Can I filter by operation, property type, or price?**
Yes. Set every filter directly on urbania.pe, copy the resulting URL, and paste it as the Search URL. Operation type (venta or alquiler), property type, price range, and area filters in the URL are all respected automatically.
**What is the difference between regular listings and projects?**
Urbania mixes individual property listings with new construction projects. Both are included. Projects show ranges for bedrooms and area and do not always have a single bathroom count, so those fields may be empty for project records.
**What happens with missing data or unavailable listings?**
Fields that a listing does not publish are returned empty rather than guessed. If a page fails to load during a run, that record carries the reason in the error field and the run continues without stopping.
---
> This actor is an independent tool and has no affiliation with Urbania or Navent Group. It only accesses data that is publicly available on the platform. Use it in accordance with Urbania's terms of service.
# Actor input Schema
## `startUrl` (type: `string`):
An Urbania.pe search results URL. Apply any filters on urbania.pe and paste the resulting URL, for example https://urbania.pe/buscar/venta-de-departamentos-en-lima
## `maxItems` (type: `integer`):
Maximum number of listings to collect. Optional.
## `withDetails` (type: `boolean`):
When enabled, each listing's detail page is fetched to add description, amenities, full image gallery, publisher/agent, and coordinates.
## `proxyConfiguration` (type: `object`):
Proxy settings. Residential proxies in Peru are recommended for reliable access.
## Actor input object example
```json
{
"startUrl": "https://urbania.pe/buscar/venta-de-departamentos",
"maxItems": 10,
"withDetails": false,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "PE"
}
}
````
# 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 = {
"startUrl": "https://urbania.pe/buscar/venta-de-departamentos",
"maxItems": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/urbania-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 = {
"startUrl": "https://urbania.pe/buscar/venta-de-departamentos",
"maxItems": 10,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/urbania-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 '{
"startUrl": "https://urbania.pe/buscar/venta-de-departamentos",
"maxItems": 10
}' |
apify call scrapers_lat/urbania-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/urbania-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Urbania Scraper",
"description": "Scrape Urbania property listings in Peru. Extract price, currency, operation, property type, bedrooms, bathrooms, area, district, images, publisher and coordinates from sale and rent listings.",
"version": "0.1",
"x-build-id": "hUS01z5rwcNKhDsQ1"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~urbania-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-urbania-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~urbania-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-urbania-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~urbania-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-urbania-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"startUrl": {
"title": "Search URL",
"type": "string",
"description": "An Urbania.pe search results URL. Apply any filters on urbania.pe and paste the resulting URL, for example https://urbania.pe/buscar/venta-de-departamentos-en-lima"
},
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of listings to collect. Optional."
},
"withDetails": {
"title": "Scrape detail pages",
"type": "boolean",
"description": "When enabled, each listing's detail page is fetched to add description, amenities, full image gallery, publisher/agent, and coordinates.",
"default": false
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Proxy settings. Residential proxies in Peru are recommended for reliable access.",
"default": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "PE"
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```