Go to example tasks

Madrid property market data

Homes for sale in Madrid city — 11,749, split across the 21 districts Fotocasa publishes. Madrid shows how this actor handles a large market: the search API stops returning new results after 11,760 per query, so the crawler splits by district instead of paginating. The 21 districts sum to precisely the 11,749 the parent declares. District on 90.2% of rows, n=3,184.

Try for free
Fotocasa Scraper $0.95/1K — Spain Real Estate Data & Agencies
Fotocasa Scraper $0.95/1K — Spain Real Estate Data & Agenciesoswaldocarabano/fotocasa-scraper
Id
Latitude
Longitude
Postal code
+12 fields
Text
Number
Boolean
List
Object

Input

Location(required):724,14,28,173,0,28079,0,0,0
Maximum listings(required):300
Sort by:relevance

Output fields

Id
Latitude
Longitude
Postal code
Location text
Country
Region
Province
Municipality
District
Neighborhood
Region id
Province id
Municipality id
District id
Neighborhood id

How it works

Sign up on Apify01

Create your Apify account to access the Fotocasa Scraper $0.95/1K — Spain Real Estate Data & Agencies.

Start the run02

The Actor will start running based on the input automatically.

Receive the output03

Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.

Integrate into your workflow04

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.

Image

Integrate Actor directly into your workflow

Choose from one of 100+ integration options we provide or integrate via API

Webhook

Webhook

n8n

n8n

Make

Make

Zapier

Zapier

Airbyte

Airbyte

Keboola

Keboola

IFTTT

IFTTT

Hubspot

Hubspot

GDrive

GDrive

Gmail

Gmail

Apify MCP

Apify MCP

GitHub

GitHub

Slack

Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay