Fotocasa Scraper — Spain Sale & Rent Listings

Disclaimer: Unofficial tool — not affiliated with, sponsored by, or endorsed by Fotocasa or its affiliates. Data is read from publicly accessible search result pages only. No login. You are responsible for complying with applicable law (including GDPR where a phone number or agency name appears) and the site’s terms. No warranty on accuracy or availability. Provided for informational and research use.

Fotocasa scraper for Spanish property for sale or for rent: homes, offices, commercial premises, garages, land, storage, and buildings. Each row has price, m², €/m², rooms, bathrooms, address, agency, and the public phone when the search card already shows one. Use it as a Fotocasa API alternative from Python, Node.js, cURL, or Apify MCP, and export the dataset as JSON, CSV, or Excel.

Best for: Spain real estate comps, agency coverage in one city, and a filtered results URL you already built in the browser.

Actor	Role
Fotocasa Scraper ◄── you are here	Spain sale and rent
Rightmove Scraper	UK sale and rent
SeLoger Scraper	France sale and rent
ImmobilienScout24 Scraper	Germany rent and buy
Immobiliare.it Scraper	Italy portal: sale, rent, auctions
Subito Real Estate Scraper	Italy classifieds: sale, rent, private sellers

When to use this Actor

• Search URL in, rows out — Paste a filtered results page (city, district, price, property type). Query filters stay on every page.
• City slug — Leave Start URLs empty and set sale or rent, a property type, and a location slug such as madrid-capital.
• Comps — Price, m², and €/m² on every saved card.
• Publisher and phone — Agency name and the phone printed on the card. The phone stays empty when the card has none. There is no extra contact request and no login.

When not to use this Actor

• A single listing URL — This Actor reads search result pages, not a detail URL ending in /d.
• A full-country dump in one run — Cap maxItems. Split by city or price band.
• Hidden contacts — If the card does not show a phone, the field is empty.

Key features

• Search HTML — One HTTP call per results page (about 30 listings). No browser. Default 256 MB.
• Sale and rent — Homes, offices, commercial premises, garages, land, storage rooms, and buildings.
• Structured fields — Price, rent period, surface, €/m², rooms, bathrooms, floor, coordinates, postal code.
• Phone on the card — Saved only when the results card already includes it.
• Proxy off by default — Enable Apify Proxy only if a run is blocked. Try datacenter before residential.

Input

Field	What it does
Start URLs	Fotocasa search pages. When set, the builder fields are ignored.
Sale or rent / Property type / Location slug	Builder used when Start URLs is empty. The slug is the path segment, for example madrid-capital.
Min / max price	Euros. Applied only by the city builder.
Maximum listings	Cap on dataset rows. Default 30. Maximum 1000.
Proxy	Off unless you enable it.

{
  "startUrls": [
    { "url": "https://www.fotocasa.es/es/comprar/viviendas/madrid-capital/todas-las-zonas/l" }
  ],
  "maxItems": 30,
  "proxyConfiguration": { "useApifyProxy": false }
}

Rent in Barcelona, no URL:

{
  "transaction": "rent",
  "propertyType": "homes",
  "location": "barcelona-capital",
  "maxPrice": 2000,
  "maxItems": 50
}

Output

One dataset row per listing.

Field	What it is
title, url, id	Card title, listing URL, numeric id
price, pricePeriod, currency	Euros. month on rent, empty on a sale price
surfaceSqm, pricePerSqm, rooms, bathrooms, floor	Size and layout
municipality, province, district, neighborhood, zipCode	Place
latitude, longitude	Coordinates from the card
agencyName, sellerType, phone	Publisher. Phone only when the card shows one
features, imageUrls, description, publishedAt	Tags, photos, text, UTC timestamp
transaction, propertyType, isNewConstruction	Sale or rent, subtype, new-build flag
searchUrl	Results page the row came from

{
  "id": "187999533",
  "url": "https://www.fotocasa.es/es/comprar/vivienda/madrid/aire-acondicionado/187999533/d",
  "title": "Flat in Castellana",
  "transaction": "sale",
  "propertyType": "Flat",
  "price": 7490000,
  "pricePeriod": null,
  "currency": "EUR",
  "surfaceSqm": 413,
  "pricePerSqm": 18135.59,
  "rooms": 3,
  "bathrooms": 4,
  "municipality": "Madrid",
  "province": "Madrid",
  "neighborhood": "Castellana",
  "agencyName": "FORTUNY MADRID REAL ESTATE",
  "sellerType": "agency",
  "phone": "+34900000000"
}

Use cases

• City comps — Sale prices and €/m² for flats in one district, then the same shape for rent.
• Agency coverage — Who is listing in a neighborhood, with the phone printed on the card.
• Offices and commercial — Switch property type, or paste the commercial results URL.
• Dataset export — One JSON row per listing, then CSV or Excel from the same dataset, or a pull with the Python and Node.js clients below.
• Cross-border book — Spain from this Actor, then France, Germany, or the UK from the suite.

Integration examples

Replace YOUR_TOKEN with an Apify API token. The Actor id is crawloop/fotocasa-scraper.

Node.js

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_TOKEN" });
const run = await client.actor("crawloop/fotocasa-scraper").call({
  startUrls: [
    { url: "https://www.fotocasa.es/es/comprar/viviendas/madrid-capital/todas-las-zonas/l" },
  ],
  maxItems: 30,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run = client.actor("crawloop/fotocasa-scraper").call(run_input={
    "startUrls": [
        {"url": "https://www.fotocasa.es/es/comprar/viviendas/madrid-capital/todas-las-zonas/l"}
    ],
    "maxItems": 30,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)

cURL

curl "https://api.apify.com/v2/acts/crawloop~fotocasa-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d "{\"startUrls\":[{\"url\":\"https://www.fotocasa.es/es/comprar/viviendas/madrid-capital/todas-las-zonas/l\"}],\"maxItems\":30}"

MCP and AI assistants

Use this Actor from AI tools via Apify MCP. Connect your Apify account, then call this Actor by its Store name crawloop/fotocasa-scraper.

Example prompts:

• "Run Fotocasa Scraper for homes for sale in madrid-capital and return the top 20 rows as JSON with price, m², and phone."
• "Scrape Fotocasa rentals in barcelona-capital under 2000 euros and summarize the median €/m²."
• "Chain Fotocasa Scraper for Madrid sale comps, then Rightmove Scraper for the same budget in London."

Suite next step

Spain is one book. For the next country, run SeLoger Scraper for France, ImmobilienScout24 Scraper for Germany, or Rightmove Scraper for the UK.

FAQ

Can I paste a results URL with filters?
Yes. Price, rooms, and district filters in the URL are kept while the Actor turns the pages.

What is a location slug?
The city piece of a results path, such as madrid-capital or valencia-provincia. Copy it from a results URL. A bare city name is not looked up.

Does a quiet search still finish?
A location with no listings saves zero rows and the run succeeds. A blocked session fails with a proxy hint instead of pretending the city is empty.

Is the phone always filled?
Only when that number is already on the search card. Rent cards often omit it.

How do I scrape Fotocasa with Python or Node.js?
Call crawloop/fotocasa-scraper with the clients in the integration section. The same input works from an AI assistant through Apify MCP. The dataset is one listing per row.

Sale or rent?
A results URL with /comprar/ is a sale. /alquiler/ is a rent. If you skip the URL, set transaction to sale or rent and pass a location slug such as madrid-capital, barcelona-capital, or valencia-capital.