Idealista Scraper [$0.45/1K] | Spain, Italy, Portugal avatar

Idealista Scraper [$0.45/1K] | Spain, Italy, Portugal

Pricing

from $0.42 / 1,000 results

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Idealista Scraper [$0.45/1K] | Spain, Italy, Portugal

Idealista Scraper [$0.45/1K] | Spain, Italy, Portugal

Collect Idealista sale and rent listings across Spain, Italy and Portugal. Get prices, price per m2, GPS coordinates, energy ratings, price history, photos and agency contacts.

Pricing

from $0.42 / 1,000 results

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Developer

Ahmed Jasarevic

Ahmed Jasarevic

Maintained by Community

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3

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1

Monthly active users

12 days ago

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Idealista Scraper - Property Listings in Spain, Italy & Portugal

Collect sale and rental listings across three Southern European markets.

How It Works

Idealista Scraper workflow: from Spain, Italy and Portugal search URLs to structured property, price and agency records

Looking for an Idealista scraper or a practical Idealista API alternative? Paste a sale or rental search URL and collect property listings across Spain, Italy and Portugal with prices, price per square metre, size, rooms, bathrooms, property type, city, district, neighbourhood, coordinates, features, energy rating, price history, photos and agency contact details.

Use the dataset to screen investments, compare rents and analyse neighbourhood prices. Export as JSON, CSV or Excel, or pull results through the Apify API. Start with one search, then pay from $0.45 per 1,000 listings.

What You Get

  • Prices, price per square metre and price history
  • Size, rooms, bathrooms, floor and property type
  • City, district, neighborhood and GPS coordinates
  • Features, energy rating, photos and agency contact data

Input

FieldTypeDefaultDescription
countrystringesMarket: es, it or pt.
operationstringsaleSale or rent.
propertyTypestringhomesHomes, offices, premises, garages, land and more.
locationstringMadridCity, district or neighborhood name.
maxItemsinteger50Maximum listings to collect.
centersarray-Optional latitude/longitude search centers.
minPrice, maxPricenumber-Price range in euros.
minSize, maxSizenumber-Size range in square metres.
minRooms, maxRoomsinteger-Room range.
minBathroomsinteger-Minimum bathrooms.
sortstringascResult ordering.
fetchDetailsbooleanfalseInclude full descriptions, photos, energy rating and history.
startUrlsarray-Direct property URLs.

Example Input

{
"country": "es",
"operation": "sale",
"propertyType": "homes",
"location": "Madrid",
"maxItems": 100,
"minRooms": 3,
"fetchDetails": true
}

Output

One dataset item per record.

FieldDescription
id, title, urlListing identity.
price, priceText, currencyAsking price.
pricePerSqm, size, rooms, bathroomsPricing and layout.
propertyType, floor, countryClassification.
location, city, district, neighborhoodLocation hierarchy.
latitude, longitude, photosMapping and media.
features, energyRating, yearBuiltProperty details.
agency, priceHistory, publishedDateContact and market history.

Example Output

{
"id": "111253717",
"title": "Penthouse in Valdebebas",
"price": 995000,
"pricePerSqm": 5437,
"rooms": 3,
"bathrooms": 3,
"size": 183,
"propertyType": "penthouse",
"city": "Madrid",
"agency": {
"name": "Engel & Volkers Madrid"
}
}

Pricing

VolumeCost
1 listing$0.00045
1,000 listings$0.45
10,000 listings$4.50

$0.00045 per listing ($0.45 per 1,000 listings). The standard Actor start charge applies to each run.

Integrations

  • Export the dataset as JSON, CSV or Excel from Apify.
  • Pull results through the Apify API.
  • Schedule repeat runs for monitoring and change tracking.
  • Connect webhooks to Slack, Google Sheets, Make, Zapier, n8n or your own workflow.

FAQ

Can I search by map coordinates?

Yes. Add one or more center points and the Actor searches around them.

What does fetchDetails add?

It adds full descriptions, all photos, energy rating, year built, community fees, property tax and price history. Detailed records cost an additional $0.0005 each.

Does it cover rentals?

Yes. Set operation to rent for rental listings.

This Actor collects publicly available information. It is not affiliated with, endorsed by or sponsored by the data source. Users are responsible for complying with applicable terms, privacy laws and data-protection regulations.