Spotahome Scraper

Extract mid-term furnished rental listings from Spotahome -- a European platform for booking rooms, studios, apartments, and student residences for 1-11+ month stays -- into structured JSON with prices, currency, address, geo-coordinates, bedrooms, bathrooms, floor size, availability dates, amenities, and photos.

What is Spotahome Scraper?

Spotahome Scraper lets you extract structured mid-term rental data from Spotahome's ~150,000 properties across roughly 100 European cities, without manual browsing, login, or booking.

• Track furnished-rental prices across Europe: extract listings with monthly prices in the market's own currency (EUR, GBP, and others) to build price comparisons across Madrid, Barcelona, Berlin, Paris, London, Lisbon, and dozens more cities
• Monitor new listings in real time: schedule daily runs and get alerted the moment a room or apartment matching your criteria goes live
• Build datasets for relocation and corporate-housing research: export thousands of listings with bedrooms, bathrooms, floor size, and amenities for market analysis, relocation tooling, or digital-nomad/corporate-housing sourcing
• Compare rooms vs. studios vs. apartments: filter by property type to analyse how the shared-flat market differs from whole-unit rentals in the same city
• Feed your CRM or dashboard: export structured data to Google Sheets, Airtable, or any BI tool via Apify integrations

Spotahome has no public API and no bulk export feature for its listing data. This scraper is the only way to get structured data out of this platform at scale -- the same kind of dataset a third-party vendor already resells as a paid service.

What data does Spotahome Scraper extract?

Each listing returns the following fields:

• Title -- the listing headline
• Property Type -- Room, Apartment, Studio, or Residence
• Price / Currency -- monthly rent in the market's own currency (never assumed -- London quotes GBP, most other cities quote EUR)
• Address / City / Postal Code / Country -- with fetchDetails on
• Latitude / Longitude -- geo-coordinates, with fetchDetails on
• Bedrooms / Bathrooms -- total in the flat or house (not just the rented room, for shared-room listings), with fetchDetails on
• Surface -- floor size in m², with fetchDetails on
• Occupancy Max -- maximum occupants, with fetchDetails on
• Available From -- ISO 8601 move-in date (authoritative with fetchDetails on; a best-effort estimate from the search-card text otherwise)
• Price Valid Until -- ISO 8601 date the quoted price is valid until, with fetchDetails on
• Min Stay Note -- free-text minimum-stay note, e.g. "8+ month stay"
• Rating / Review Count / Rating Scale -- aggregate tenant rating
• Instant Booking -- whether the listing supports instant booking
• Bills Included -- nullable true/false, never coerced to false when unknown
• Pets Allowed / Smoking Allowed -- with fetchDetails on
• Amenities -- e.g. Furnished, Elevator, A/C, Equipped kitchen, Washing machine, with fetchDetails on
• Description -- full listing text, with fetchDetails on
• Images -- main photo by default, full gallery (60+ photos typical) with fetchDetails on
• Date Posted -- with fetchDetails on
• URL -- direct link to the listing on Spotahome
• Scraped At -- ISO 8601 timestamp

How to scrape Spotahome data

The input is simple: choose a city and property type and hit run. You can configure the scraper through the Apify Console UI or programmatically via the API.

Input fields

Field	Type	Default	Description
citySlug	String	"madrid"	City slug from a Spotahome URL, e.g. "madrid", "barcelona", "berlin", "paris", "london", "lisbon", "dublin"
propertyType	String	"any"	"any", "rooms", "apartments", "studios"
startUrls	Array	--	Spotahome search-result or single-listing URLs (overrides city/type filters); max 100
maxResults	Integer	20	Maximum number of listings to return (1--2,000)
fetchDetails	Boolean	true	ON by default -- fetches each listing's own detail page to add address, geo-coordinates, bedrooms, bathrooms, floor size, amenities, and the authoritative ISO availability date. Turn OFF only for a faster run with search-card data alone (price, title, property type, rating, raw availability text) -- most output fields are null without it
proxyConfiguration	Object	Automatic	No proxy group needed -- see "Do I need proxies?" below

Tips for best results

• Use citySlug for quick searches: "madrid", "barcelona", "valencia", "rome", "milan", "lisbon", "berlin", "munich", "brussels", "dublin", "london", "paris", "amsterdam" and more are confirmed-working. Any valid Spotahome city slug works, even ones not listed here.
• Use startUrls for advanced filtering: apply price ranges, move-in dates, or other filters on Spotahome, copy the URL, and paste it as a start URL to preserve them. A single listing URL also works and returns full detail-page data for that one property.
• Keep fetchDetails on unless you only need price/title/rating for a quick scan -- address, geo, bedrooms, bathrooms, and surface all require the extra per-listing request.
• Start with a small maxResults (e.g. 20) to verify the output, then scale up.
• Empty input works: running with {} defaults to all property types in Madrid.

Output

Results are stored in a dataset that you can download in JSON, CSV, Excel, XML, or HTML format directly from the Apify Console.

JSON example

{
    "externalId": "272377",
    "title": "Room in a shared 7-bedroom apartment for rent in Goya, professionals and students only",
    "price": 695,
    "currency": "EUR",
    "url": "https://www.spotahome.com/madrid/for-rent:rooms/272377",
    "scrapedAt": "2026-08-29T14:55:34.524Z",
    "listingType": "rent",
    "propertyType": "Room",
    "address": "Calle Duque de Sesto, 28009 Madrid, Spain",
    "city": "Madrid",
    "postalCode": "28009",
    "country": "ES",
    "latitude": 40.42282904,
    "longitude": -3.67462951,
    "bedrooms": 7,
    "bathrooms": 2,
    "surface": 160,
    "surfaceUnit": "m²",
    "occupancyMax": 1,
    "availableFrom": "2026-08-31",
    "availableFromRaw": "From 31 Aug",
    "priceValidUntil": "2027-08-29",
    "minStayNote": "8+ month stay",
    "rating": 4,
    "reviewCount": 4743,
    "ratingScale": "1-5",
    "instantBooking": true,
    "billsIncluded": true,
    "petsAllowed": false,
    "smokingAllowed": false,
    "amenities": ["Furnished", "Elevator", "Equipped kitchen", "Washing machine", "Dishwasher"],
    "description": "Room in a shared 7-bedroom flat, fully furnished, with elevator and WiFi. Located in Goya near Dolmen de Dalí. Professionals and students only. (ref: 272377)",
    "imageUrl": "https://photos.spotahome.com/fsobscale_1600_900_nonverified_ur_15_50/f7cfbfb5a9e626ab080a053e3034e40b8f077fab9bd671c837788187.webp",
    "imageUrls": ["https://photos.spotahome.com/..."],
    "datePosted": null
}

How much does it cost to scrape Spotahome?

Spotahome has no real bot protection to pay for -- the actor reads server-rendered HTML directly, no proxy or unblocking service required. That keeps runs fast and cheap.

Scenario	Est. cost	Time
20 listings, fetchDetails on	~$0.11	~15 sec
200 listings, fetchDetails on	~$1.01	~2 min
500 listings, fetchDetails off	~$2.51	~30 sec
2,000 listings, fetchDetails on	~$10.01	~15 min

Pricing breakdown:

• Per result: $0.005
• Per run: $0.01

Usage cost only settles once a run reports SUCCEEDED -- reading a dataset mid-run will show a cost far below the final total.

Can I integrate Spotahome Scraper with other apps?

Yes. Spotahome Scraper connects with any tool through Apify integrations:

• Google Sheets -- automatically export listing data to a spreadsheet
• Slack / Email -- get notified when new listings match your criteria
• Zapier / Make -- trigger workflows when data is ready
• Airtable -- build a searchable rental database
• REST API -- call the scraper programmatically from any language
• Webhooks -- get notified when a run finishes

Can I use Spotahome Scraper as an API?

Yes. Use the Apify API to run Spotahome Scraper programmatically.

Python:

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("studio-amba/spotahome-scraper").call(run_input={
    "citySlug": "madrid",
    "propertyType": "rooms",
    "maxResults": 200,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['title']} -- {item['currency']} {item['price']} -- {item['city']}")

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('studio-amba/spotahome-scraper').call({
    citySlug: 'madrid',
    propertyType: 'rooms',
    maxResults: 200,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Check the API tab for full documentation.

FAQ

What is Spotahome?

Spotahome is a Spanish-founded, online mid-term rental platform (1 to 11+ months) covering furnished rooms, studios, apartments, and student residences across roughly 100 European cities, verified through professional photos, videos, and floor plans with 100% online booking. It's aimed at students, digital nomads, remote workers, and corporate relocations rather than the long-term-lease resale market.

How does Spotahome Scraper work?

It requests Spotahome's own server-rendered search and listing pages -- no login, no JavaScript execution required. Search pages give price, title, property type, and rating directly; the detail-page fetch (on by default) reads the page's own schema.org structured-data block for address, geo-coordinates, bedrooms, bathrooms, floor size, amenities, and the authoritative move-in date.

Can I filter by property type?

Yes. Set propertyType to "rooms", "apartments", or "studios", or leave it "any" for a mixed search that also includes student residences.

Do I need proxies?

No. Spotahome has no anti-bot layer on the routes this actor uses -- confirmed with plain requests under concurrent load, no Cloudflare/Akamai/DataDome challenge. The default proxyConfiguration uses Apify's free automatic proxy pool. If you see blocks from your own account's specific IP reputation, escalate to RESIDENTIAL in the proxy settings.

Why does currency vary between listings?

Spotahome quotes prices in the local market's currency -- EUR in most of its European cities, GBP in London. The scraper reports the currency exactly as published per listing, never assuming or converting.

Is it legal to scrape Spotahome?

This scraper extracts publicly available listing data that Spotahome displays to all visitors. The data is factual (prices, addresses, property specifications) and does not contain private personal or tenant information. As with any scraping tool, use the data responsibly and in compliance with applicable laws. No login or cookies are required.

Limitations

• Detail-page fields require fetchDetails: true (the default). With it off, output is limited to search-card data: price, title, property type, rating, and a raw (yearless) availability text.
• Bedrooms/bathrooms describe the whole unit, not just the rented room for shared-flat "Room" listings -- Spotahome doesn't expose a separate per-room count.
• datePosted is frequently null. Not every listing on the source site carries this field.
• surface (floor size) is missing on some listings. Spotahome's own structured data doesn't publish a floor size for every property (confirmed on the source page itself, not an extraction gap) -- most common on smaller room listings.
• Availability text fallback assumes the next future occurrence of the given month/day when fetchDetails is off and the authoritative ISO date isn't available -- turn fetchDetails on for the real date.

Other European real estate and rental scrapers

Combine Spotahome Scraper with these actors for broader European housing market coverage:

• Spareroom Scraper -- UK room-rental listings
• Flatfox Scraper -- Swiss rental and property listings
• Imoti.net Scraper -- Bulgarian real estate listings

Your feedback

Found a bug or have a feature request? Please open an issue on the Issues tab. We actively maintain this scraper and respond to all reports.