Spitogatos Scraper

Extract public Spitogatos property listings from Greece and Cyprus into a clean Apify Dataset. The Actor collects sale and rental prices, locations, dimensions, rooms, coordinates, images, agency details, and publication timestamps for analysis and recurring market monitoring.

It uses Spitogatos geography IDs, so one input can cover Athens Center, all Greece, all Cyprus, or a custom group of areas. Results are returned in English field names and can be downloaded as JSON, CSV, Excel, XML, or RSS through Apify.

What does Spitogatos Scraper do?

The Actor searches Spitogatos's structured property catalog and paginates through matching results. For each unique listing it creates one normalized dataset row.

You can:

• collect homes for rent or sale;
• search residential, commercial, land, or other property categories;
• filter by price, floor area, bedroom count, and property type;
• cover Greece and Cyprus in the same workflow;
• keep stable listing IDs for comparisons between scheduled runs;
• detect price reductions and listing modification dates;
• export property and agency data to your preferred analysis tool.

This is an unofficial data extraction tool. It is not affiliated with Spitogatos.

Who is this property data Actor for?

Real-estate analysts can build area-level price and availability datasets.

Property investors can shortlist listings by budget, size, and location.

Agencies and proptech teams can monitor public inventory and compare market activity.

Researchers and journalists can study advertised housing supply using reproducible inputs.

Automation builders can trigger alerts or downstream enrichment when listing IDs, prices, or modification timestamps change.

Why use this Spitogatos extractor?

• Greece and Cyprus coverage: area ID 1 represents Greece and 3 represents Cyprus.
• Useful property fields: prices, square metres, coordinates, rooms, images, agency, and dates.
• Pagination and limits: collect a small sample or thousands of matching listings.
• Stable monitoring keys: use listingId and url to join results from repeated runs.
• Price-change fields: retain current price, previous price, and reported reduction percentage.
• Fail-closed behavior: exhausted source or proxy errors fail the run instead of returning a misleading successful empty dataset.
• Efficient HTTP extraction: the Actor does not download listing images or launch a browser.

What Spitogatos data can I extract?

Field	Description
listingId, url	Stable listing ID and public property URL
listingType	rent or sale
category, propertySubtype	Source category and subtype code
price, previousPrice	Current and previous advertised price in EUR
priceReduced, priceChangePercent	Source price-reduction indicators
areaSqm, pricePerSqm	Floor area and calculated EUR per m²
location	Human-readable Spitogatos geography
latitude, longitude, geocodeType	Published map position and precision
bedrooms, bathrooms	Room counts when available
kitchens, livingRooms, floor	Additional dimensions and floor code
description	Public listing description
mainImageUrl, imageUrls	Main image and gallery image URLs
hasVirtualTour, hasVideo	Media availability flags
isNewDevelopment, listingTier	Development and promotion metadata
agency	Agency ID, name, profile, logo, and membership
uploadedAt, modifiedAt, firstPublishedAt	Source timestamps
scrapedAt	Collection timestamp in ISO 8601 format

Source fields can be missing. Nullable output fields are returned as null, while media arrays can be empty.

How to scrape Spitogatos listings

1. Open the Actor in Apify Console.
2. Enter one or more Area IDs.
3. Select rent or sale.
4. Choose a property category.
5. Add optional price, area, bedroom, or property-type filters.
6. Set the maximum number of listings.
7. Keep the default Residential proxy configuration.
8. Click Start.
9. Open the Dataset tab to preview or export the results.

A useful first run is Athens Center rentals:

{
  "areaIds": ["100"],
  "listingType": "rent",
  "category": "residential",
  "priceMax": 1200,
  "maxItems": 20
}

Input parameters

Input	Type	Default	Description
areaIds	string array	["100"]	Spitogatos geography IDs; 1 Greece, 3 Cyprus, 100 Athens Center
listingType	string	rent	rent or sale
category	string	residential	residential, commercial, land, or other
propertyTypes	string array	none	Optional source type codes such as apartment or detached
priceMin	integer	none	Minimum monthly rent or sale price in EUR
priceMax	integer	none	Maximum monthly rent or sale price in EUR
areaMin	integer	none	Minimum floor area in m²
areaMax	integer	none	Maximum floor area in m²
bedroomsMin	integer	none	Minimum reported bedrooms or rooms
bedroomsMax	integer	none	Maximum reported bedrooms or rooms
maxItems	integer	100	Maximum unique rows, from 1 to 10,000
proxyConfiguration	object	Residential, Greece	Apify Proxy configuration

Area IDs are strings in the Console editor but are validated as positive integers before any request. Invalid ranges, unsupported categories, and malformed limits fail immediately.

Greece, Athens, and Cyprus examples

All Greece residential homes for sale:

{
  "areaIds": ["1"],
  "listingType": "sale",
  "category": "residential",
  "maxItems": 100
}

Athens Center rentals under €1,200:

{
  "areaIds": ["100"],
  "listingType": "rent",
  "category": "residential",
  "priceMax": 1200,
  "maxItems": 100
}

Cyprus sale listings of at least 70 m²:

{
  "areaIds": ["3"],
  "listingType": "sale",
  "category": "residential",
  "areaMin": 70,
  "maxItems": 100
}

Output example

The following shortened record reflects the current output contract; the agency name is anonymized.

{
  "listingId": 12345678,
  "url": "https://www.spitogatos.gr/en/property/12345678",
  "listingType": "rent",
  "category": "house",
  "price": 690,
  "previousPrice": 750,
  "priceReduced": true,
  "priceChangePercent": 8,
  "currency": "EUR",
  "areaSqm": 73,
  "pricePerSqm": 9.45,
  "location": "Athens Center (Attica)",
  "latitude": 37.97,
  "longitude": 23.73,
  "bedrooms": 2,
  "bathrooms": 1,
  "mainImageUrl": "https://m2.spitogatos.gr/123456_300x220.jpg",
  "imageUrls": ["https://m2.spitogatos.gr/123456_1280x960.jpg"],
  "agency": {
    "id": 1234,
    "name": "Example Realty",
    "profileUrl": "https://www.spitogatos.gr/agents/example-realty/1234",
    "logoUrl": null,
    "membership": "expert"
  },
  "modifiedAt": "2025-01-16 09:30:00",
  "scrapedAt": "2025-01-16T10:00:00.000Z"
}

How much does it cost to extract Spitogatos property listings?

Pricing is pay per event: one small start event per run and one item event per saved listing. The active FREE-tier prices are $0.00005 per start and $0.00184 per property listing. Paid Apify plans receive the tier price shown in Console; BRONZE is $0.00160 per listing.

Examples at the FREE tier:

Listings	Start	Listing events	Total Actor charge
10	$0.00005	$0.01840	about $0.01845
100	$0.00005	$0.18400	about $0.18405
1,000	$0.00005	$1.84000	about $1.84005

The Actor charges only normalized rows saved to the dataset. Duplicate, rejected, failed, or empty records do not create item charges. Check the live pricing panel because Apify plan tiers can differ.

Monitoring new and changed listings

Schedule the same Task daily or hourly and store each resulting dataset. Use listingId as the stable join key. Compare:

• IDs absent from the previous run to find newly observed listings;
• price and previousPrice to identify price changes;
• modifiedAt to prioritize recently updated ads;
• IDs missing from the new sample only with care, because filters, ordering, and maxItems can also change which listings appear.

For complete comparisons, keep filters and limits consistent between runs.

Export to CSV, Excel, or a data pipeline

Open the run's Dataset and choose JSON, CSV, Excel, XML, or RSS. You can also send the dataset to Google Sheets, Make, Zapier, n8n, a database, or an internal API.

Typical workflows include:

1. schedule the Actor;
2. fetch rows by dataset API;
3. upsert by listingId;
4. compare price and timestamps;
5. notify an analyst when a rule matches.

Run with the Apify API using cURL

curl -X POST \
  "https://api.apify.com/v2/acts/automation-lab~spitogatos-property-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "areaIds": ["100"],
    "listingType": "rent",
    "category": "residential",
    "priceMax": 1200,
    "maxItems": 20
  }'

Fetch results using the defaultDatasetId returned by the run:

$curl "https://api.apify.com/v2/datasets/DATASET_ID/items?token=$APIFY_TOKEN&format=json"

Run from JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('automation-lab/spitogatos-property-scraper').call({
  areaIds: ['3'],
  listingType: 'sale',
  category: 'residential',
  areaMin: 70,
  maxItems: 100,
});

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

Run from Python

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('automation-lab/spitogatos-property-scraper').call(run_input={
    'areaIds': ['1'],
    'listingType': 'sale',
    'category': 'residential',
    'maxItems': 100,
})

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

Use Spitogatos Scraper with Apify MCP

Claude Code setup

claude mcp add --transport http apify \
  "https://mcp.apify.com?tools=automation-lab/spitogatos-property-scraper"

Claude Desktop setup

Add this server to claude_desktop_config.json:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=automation-lab/spitogatos-property-scraper"
    }
  }
}

Cursor setup

Add the same mcpServers.apify.url value in Cursor Settings → MCP.

VS Code setup

Add the same HTTP MCP URL to your VS Code MCP server configuration.

Example prompts:

• “Extract 20 Athens Center rentals below €1,200 and summarize median price per m².”
• “Collect 50 Cyprus homes for sale over 70 m² and save the dataset.”
• “Run my saved Spitogatos monitoring input and compare IDs and prices with yesterday.”

Limits and responsible operation

Spitogatos protects its public catalog, so Residential proxy access is required. The default makes structured requests through Apify Residential proxies in Greece. Disabling proxy access or using blocked datacenter addresses can cause the run to fail.

The source returns up to 30 records per page. Results are deduplicated by listing ID and stop at maxItems or the final source page.

Source taxonomy, availability, image URLs, descriptions, and timestamps can change. Coordinates may be approximate; check geocodeType before location-sensitive decisions. The Actor does not contact agencies, download images, value properties, or guarantee that an ad is still available after extraction.

Troubleshooting

The run says a proxy is required. Enable Apify Proxy and include the RESIDENTIAL group. The default input already does this.

The run failed after three sessions. The source challenged or temporarily rejected every bounded retry. Wait before retrying rather than launching many immediate runs. If the problem persists, share the run URL with support.

I received zero listings. Confirm the area IDs and relax narrow price, area, bedroom, or property-type filters. A successful zero-row response is possible when the selected source query has no current matches.

Why is a field null? Sellers and agencies do not publish every attribute. Nullability reflects the public source record.

Why does an image URL stop working? Spitogatos controls its image CDN and can move or remove media after the dataset is created.

Is scraping Spitogatos legal?

This Actor extracts publicly accessible listing information. Laws, website terms, database rights, and privacy obligations vary by jurisdiction and use case. You are responsible for having a lawful purpose, respecting applicable terms, limiting collection to what you need, and handling personal or agency information appropriately. Do not use the Actor for harassment, discrimination, spam, or decisions that require verified property or identity information.

Frequently asked questions

Does it support Spitogatos English data? Output keys are English and location text is returned by the source locale used by the API. Descriptions may remain in the language supplied by the publisher.

Can it scrape Athens? Yes. Use area ID 100 for Athens Center or another known Spitogatos geography ID.

Can it scrape Cyprus? Yes. Use area ID 3 for all Cyprus, then apply price, size, bedroom, or category filters.

Can I collect commercial property or land? Yes. Set category to commercial or land.

Can I run it on a schedule? Yes. Create an Apify Task, keep its input stable, and add a schedule.

Does it provide an official Spitogatos API? No. It is an independent Actor that turns public catalog responses into a normalized Apify Dataset.

Does it charge for failed rows? No. The listing event is charged only for normalized records saved to the default dataset.

Related automation-lab Actors

Combine this Actor with other automation-lab real-estate and location tools in Apify Store when you need a broader workflow. Search the automation-lab profile for currently available related Actors; this README intentionally avoids linking unsupported or unpublished products.