Fotocasa: scrapers and the official API, compared

Spain property sale and rental listings.

Short answer

For most Fotocasa jobs, start with Fotocasa Spain Sale & Rental Listings Scraper: it covers 6 of 7 core fields (price, bedrooms, bathrooms, area and 2 more) at $0.99 per 1,000 results on Apify's Free plan. The top published score for Fotocasa goes to Fotocasa Property Scraper · Spain Real Estate Listings by memo23 (90 of 100), a Store tool from another publisher, listed for reference.

From published Store listings, output schemas and the official documentation. Checked 2026-11-12. How the ranking works.

Fotocasa Spain Sale & Rental Listings Scraper: inputs, code and costOpen in Apify Store

1 catalogue Actor 9 other Store tools Official API: No open API Lowest rate  $0.99 per 1K

Route map

Each line is one way to get Fotocasa data; each stop is a field you probably need. Green lines are catalogue Actors, ranked by the published formula.

Route diagram for Fotocasa dataFotocasa Spain Sale & Rental Listings Scraper: stops at 5 of the 10 fields shown; Other Store tools (8): stops at 9 of the 10 fields shown; No public listing API: none, field coverage not compared.FotocasaaddressbedroomspricebathroomsareaagencyroomsdescriptionphonepropertyId1+API

Stops are fields. A ring means the field is in that route's published output schema; no ring means the line passes without it. Bold labels are the core fields for this website, the rest are fields that differ between routes. A white capsule means every data line stops there. The red line is the official API; its field coverage is not compared. A crossed red line means there is no open official API.

Catalogue Actors for Fotocasa

Fotocasa Spain Sale & Rental Listings Scraper

Search Fotocasa listings for sale or rent across Spain by city, property type, price range, and bedrooms. Each result includes price, size,…

6/7 core fields 10 output fields $0.99 per 1K Open in Apify Store

Field matrix: who returns what

Every tool with a published output schema, against the 7 fields most Fotocasa jobs need. A dot means the field name appears in the schema; rows can still leave it empty.

Which tools return each core Fotocasa field, from published output schemas
TooladdresspricebedroomsbathroomsareaagencyurlFields
Fotocasa Spain Sale & Rental Listings Scraper–●●●●●●6/7
Fotocasa Property Scraper · Spain Real Estate ListingsReference only, by memo23–●–●●●●5/7
Fotocasa ScraperReference only, by parsebird●––●●●●5/7
Fotocasa ScraperReference only, by igolaizola–●–●●–●4/7
Fotocasa Property Details ScraperReference only, by stealth_mode●●––●●●5/7
Fotocasa Property Search ScraperReference only, by stealth_mode–●–●–●●4/7
Fotocasa ScraperReference only, by gio21–●––●●●4/7
Fotocasa.esReference only, by azzouzana●●––––●3/7
Idealista, Fotocasa & Supercasa ScraperReference only, by friendly_keelboat●●–●–●●5/7
Tools returning it4816679

Field dictionary: the exact keys

The same core field has a different key in each Actor's output. Map these before you merge datasets; a dash means the published schema has no matching key. Need a field that is not listed here, such as email? Search every Fotocasa Actor by field.

Output keys for each core Fotocasa field in the top catalogue Actors
Core field Fotocasa Spain Sale & Rental…
address –
price price
bedrooms bedrooms
bathrooms bathrooms
area surface
agency agencyName
url propertyUrl

Download this comparison: CSV · JSON (every tool with a published schema, matching keys per core field, price and score).

All 10 tools, scored

Catalogue Actors link to their detail pages; the score (0 to 100) is the published formula, identical for every tool. Other Store tools follow in their own table, for reference. Price is the published primary-result rate per 1,000 (the Free-plan rate where the price is tiered; higher Apify plans pay less); start events and platform usage are excluded.

Catalogue Actors for Fotocasa, ranked by the published method
Sample fields
83
Fotocasa Spain Sale & Rental Listings Scraper Catalogue Actor, pay per event
price, bedrooms, bathrooms 10 $0.99 8 runs, too few to rate Nov 2026

Other Store tools, for reference

Scored with the same published formula and listed for comparison only; this site does not link or recommend them.

Other Store tools for Fotocasa, for reference
Sample fields
90
Fotocasa Property Scraper · Spain Real Estate Listings Reference only, by memo23
price, bathrooms, surface 12 $0.99 99% of 3,223 runs Nov 2026
87
Fotocasa Scraper Reference only, by parsebird
street, baths, surface 10 $6.00 100% of 37 runs Oct 2026
86
Fotocasa Scraper Reference only, by igolaizola
transaction.price, baths, surface 12 $1.00 100% of 15,960 runs Aug 2026
85
Fotocasa Property Details Scraper Reference only, by stealth_mode
address, price, ground_surface 30 $4.00 100% of 158 runs Aug 2026
84
Fotocasa Property Search Scraper Reference only, by stealth_mode
price, bathrooms, agency_name 55 $4.00 100% of 680 runs Oct 2026
83
Fotocasa Scraper Reference only, by gio21
price, area, agency 9 $5.00 100% of 51 runs Oct 2026
82
Fotocasa.es Reference only, by azzouzana
address, price, clientUrl 82 $1.00 100% of 1,361 runs Oct 2026
69
Idealista, Fotocasa & Supercasa Scraper Reference only, by friendly_keelboat
address, price, bathrooms 41 $100 100% of 504 runs Nov 2026
60
Fotocasa Reference only, by ralvaromariano
No published schema – not listed 100% of 30 runs Mar 2026

What to check before you choose

Spanish sale and rental listings support asking-price research, neighbourhood comparisons and agency inventory monitoring. Keep sale and rental collections separate so their prices remain meaningful within each analysis.

Choose a search-results route for a focused listing collection, then check whether a property-detail route adds the information your research needs. Fotocasa has no general public property API; partner arrangements are a separate access route.

Checklist

  • Confirm that the chosen route accepts the sale or rental search you need and preserves the intended city, neighbourhood and property filters.
  • Check how surface is defined before treating it as the area measure in a price comparison. The published schema does not explain its unit or measurement basis.
  • Distinguish agencyName from an agency profile and propertyUrl from a stable property identifier, especially when building a recurring inventory collection.

Where the data is incomplete

The Spain Sale & Rental Listings Scraper lists city and neighborhood, but no street address or coordinates. That coverage supports broad location grouping without establishing the precision needed for street-level analysis.

The same published schema lists price, surface, bedrooms and bathrooms without detailed definitions. It also lacks an explicit sale-or-rental marker, so retain the search context when assembling the dataset.

Official API route

No public listing API

Fotocasa does not publish a general public property API. Access is through the public site and partner arrangements.

Price. Not applicable.

Limits. Subject to Fotocasa's terms.

Official documentation

Restrict collection to public listings and check Fotocasa's terms before collecting or reusing listing content. Confirm that the planned use fits those conditions. This is general information, not legal advice.

Read Fotocasa's terms. Keep to public data, do not bypass logins or access controls, and check whether personal data is involved before you collect it. The can-I-scrape checklist walks through it.

How to start

  1. Configure a narrow sale or rental collection using its documented inputs, retaining the location and transaction context.
  2. Run the collection and inspect listing links, price, property size and location coverage before extending the search.

Call Fotocasa Spain Sale & Rental Listings Scraper from code

The example input uses the Actor's published defaults; set your own Fotocasa query before you run it. You need an Apify API token.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "search",
    "location": "madrid",
    "locationType": "auto",
    "operation": "sale",
    "propertyType": "homes",
    "features": [],
    "publishedSince": "any",
    "rentalType": "any",
    "ownerType": "any",
    "onlyPriceDrops": False,
    "sortBy": "relevance",
    "maxItems": 3,
    "fetchDetails": False,
    "maxDetails": 0,
    "monitorMode": False
}

run = client.actor("vexaloom-labs/fotocasa-spain-sale-and-rental-listings-scraper").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

pip install apify-client

JavaScript

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "search",
    "location": "madrid",
    "locationType": "auto",
    "operation": "sale",
    "propertyType": "homes",
    "features": [],
    "publishedSince": "any",
    "rentalType": "any",
    "ownerType": "any",
    "onlyPriceDrops": false,
    "sortBy": "relevance",
    "maxItems": 3,
    "fetchDetails": false,
    "maxDetails": 0,
    "monitorMode": false
};

const run = await client.actor("vexaloom-labs/fotocasa-spain-sale-and-rental-listings-scraper").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

npm install apify-client

cURL

curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~fotocasa-spain-sale-and-rental-listings-scraper/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"search","location":"madrid","locationType":"auto","operation":"sale","propertyType":"homes","features":[],"publishedSince":"any","rentalType":"any","ownerType":"any","onlyPriceDrops":false,"sortBy":"relevance","maxItems":3,"fetchDetails":false,"maxDetails":0,"monitorMode":false}'

Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).

MCP (AI agents)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=vexaloom-labs/fotocasa-spain-sale-and-rental-listings-scraper",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.

Questions people ask

Does Fotocasa offer a public property API?

Fotocasa does not publish a general public property API. Access routes include the public site and partner arrangements, subject to the applicable terms.

Can the listing output support exact address matching?

The Spain Sale & Rental Listings Scraper lists city and neighborhood, but no street address. Check another tool's published schema if exact address matching is essential.

Can surface be used directly for area comparisons?

The published schema includes surface without a description of its unit or measurement basis. Confirm that meaning before comparing property sizes or deriving price measures from it.

Does agencyName provide an agency directory?

The published schema includes an agency name attached to a listing. It does not list agency contact details or a separate agency profile, so confirm additional coverage before planning directory research.

What is the cheapest catalogue Actor for Fotocasa data?

Fotocasa Spain Sale & Rental Listings Scraper lists $0.99 per 1,000 results (pay per event), with 10 fields in its published output schema. Start events and platform usage are billed separately. Checked 2026-11-12.

Which Fotocasa scraper returns the most core fields?

Fotocasa Spain Sale & Rental Listings Scraper covers 6 of the 7 core Fotocasa fields this page tracks (address, price, bedrooms, bathrooms, area, agency, url), based on its published output schema.

Does Fotocasa have an official API?

No open API: Fotocasa does not publish a general public property API. Access is through the public site and partner arrangements. Not applicable.

Is it legal to scrape Fotocasa?

It depends on what you collect and how. Restrict collection to public listings and check Fotocasa's terms before collecting or reusing listing content. Confirm that the planned use fits those conditions. Read Fotocasa's terms (https://www.fotocasa.es/aviso-legal) before you collect, and check whether personal data is involved. This is general information, not legal advice.

More on Fotocasa

Sources

Text updated 2026-11-12 Data checked 2026-11-12
Cite this page

Scraper Finder. "How to get Fotocasa data." https://scraperfinder.com/sites/fotocasa/ (data checked 2026-11-12).

Highest-scoring catalogue Actor

Fotocasa Spain Sale & Rental Listings Scraper: 6 of 7 core fields, $0.99 per 1,000 results, score 83. The highest score overall is 90 (Fotocasa Property Scraper · Spain Real Estate Listings, a Store tool from another publisher); both are in the table above.

Open in Apify Store