# Spain Property Listings (Fotocasa + Pisos.com) (`googlik/spain-property-listings-fotocasa-pisos`) Actor

Rent and sale listings from Fotocasa and Pisos.com in one dataset: price, rooms, m2, location, URL. No seller data.

- **URL**: https://apify.com/googlik/spain-property-listings-fotocasa-pisos.md
- **Developed by:** [Artem Sharipov](https://apify.com/googlik) (community)
- **Categories:** Real estate
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 listing returneds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Spain Property Listings (Fotocasa + Pisos.com)

Fetches the first public search-result page of **Fotocasa** and **Pisos.com** for a city and returns one flat dataset.
Use it for rent/price monitoring, market snapshots and lead-free market research.

### What you get

Fields: `source, operation, url, price_eur, rooms, bathrooms, area_m2, city, district, neighborhood, zip, title`
(some fields exist for one portal only).

### Limits (honest)

- **First result page per portal only** (about 60 Fotocasa and about 30 Pisos.com listings per run). No pagination yet.
- Plain HTTP from Apify datacenter IPs, no proxy: if a portal starts blocking, that source returns an error and the run
  still succeeds with the other source (it fails only if nothing at all was returned).
- Habitaclia and Idealista are not supported.
- HTML structure changes can break a source; check the Issues tab.

### Pricing

Pay per result: $1.00 per 1,000 listings (event `result`). Nothing is charged for failed runs with no data.

### Input

`operation` (alquiler/comprar), `city` slug, `sources`, `maxItems`, `delaySeconds`.

### Legal / privacy note

- Only publicly visible listing data is collected. No logins, no private APIs.
- **No personal data**: seller / agent names, phone numbers, e-mails and profiles are never collected; free-text
  descriptions are not collected either.
- No proxies, CAPTCHA solving or other anti-bot circumvention. If the site blocks the request, the run reports
  the error (key-value store record `ERRORS`) and stops instead of retrying aggressively.
- Requests are rate-limited (min. 2 s between requests). You are responsible for using the data lawfully
  (database rights, GDPR, site terms). This actor is not affiliated with the site.

# Actor input Schema

## `operation` (type: `string`):

alquiler = rent, comprar = buy.

## `city` (type: `string`):

Fotocasa-style slug, e.g. madrid-capital, barcelona-capital, valencia-capital. Pisos.com uses the same slug with underscores (converted automatically).

## `sources` (type: `array`):

Portals to read.

## `maxItems` (type: `integer`):

Upper bound of listings (you are charged per result).

## `delaySeconds` (type: `integer`):

Politeness delay, minimum 2.

## Actor input object example

```json
{
  "operation": "alquiler",
  "city": "madrid-capital",
  "sources": [
    "fotocasa",
    "pisos"
  ],
  "maxItems": 100,
  "delaySeconds": 3
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset items (one row per result)

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "operation": "alquiler",
    "city": "madrid-capital",
    "sources": [
        "fotocasa",
        "pisos"
    ],
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("googlik/spain-property-listings-fotocasa-pisos").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "operation": "alquiler",
    "city": "madrid-capital",
    "sources": [
        "fotocasa",
        "pisos",
    ],
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("googlik/spain-property-listings-fotocasa-pisos").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "operation": "alquiler",
  "city": "madrid-capital",
  "sources": [
    "fotocasa",
    "pisos"
  ],
  "maxItems": 100
}' |
apify call googlik/spain-property-listings-fotocasa-pisos --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,googlik/spain-property-listings-fotocasa-pisos"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/iX17Km85994MPB9BJ/builds/qUmuZ54lPb1NYCFOy/openapi.json