Studapart Scraper [$1.50/1K💰] | Student Rooms

Studapart Scraper – Student Housing & Room Data

Scrape public Studapart student-housing listings across France, Belgium and other European cities. Get rent, charges, deposit, surface, room type, amenities, lease terms, availability, landlord details, photos and nested room offers. $1.50 per 1,000 properties.

Student Housing Data Across Europe

Studapart lists student rooms, flatshares, studios, apartments and residences. This Actor turns public property pages into structured records for student-housing operators, relocation agencies, universities, landlords, investors and rental-market researchers.

• Housing supply — map rooms and properties by city.
• Room-level analysis — compare rent and availability for each room offer.
• Relocation research — find options near universities and city centers.
• Lead generation — build lists of landlords, agencies and residences.
• Market monitoring — schedule runs to track new properties and prices.

How It Works

The Actor reads public Studapart listing pages and normalizes each property into one dataset row. Room offers are returned as a nested rooms array. Add cities or direct property URLs, then cap the run with maxItems.

• One row per property or residence.
• Each row includes its room offers as a nested array.
• City filters and direct property URLs are supported.
• Fields that the landlord does not publish stay null.

Search By City Or Start URL

Use cities for a quick city filter or startUrls for exact property pages:

• Cities — Paris, Lyon, Nimes, Aix-en-Provence and other Studapart cities.
• Property URLs — pass individual listing pages for targeted extraction.
• All cities — leave cities empty to include every city in the public inventory.
• Property types — rooms, flatshares, studios, apartments and student residences.

Property And Room Fields

Each property record includes location, coordinates, property type, room type, listing type, monthly rent, charges, deposit, surface, floor, room and bathroom counts, maximum tenants, furnished status, amenities, lease type, minimum lease duration, availability, photos, landlord details, description, rating and review count. The nested rooms array contains each room’s label, rent, surface, furnished status, maximum tenants, availability and category.

Input – Configure A Studapart Run

Field	Type	Default	Notes
startUrls	array	[]	Optional property detail URLs; empty uses the public listing inventory
cities	array	["Paris"]	City filter, e.g. Paris, Lyon, Nimes, Aix-en-Provence; empty includes all cities
maxItems	integer	50	Maximum properties saved; hard cap 1,000
proxy	object	Apify Proxy off	Standard Apify Proxy configuration for large runs

Output – Student Property Fields

Each dataset item can contain:

• propertyId, title, url
• city, address, postalCode, country
• latitude, longitude
• propertyType, roomType, listingType
• monthlyRent, currency
• chargesAmount, rentIncludesCharges, chargesIncluded, chargesNotIncluded
• deposit, depositRequired
• surfaceM2, floor, roomsCount, bathrooms, bedrooms, maxTenants
• furnished, amenities
• leaseType, minLeaseDuration, availability
• photos
• ownerName, ownerProfileUrl, lessorType
• rooms
• description, rating, reviewCount
• scrapedAt

Example Input – Paris And Lyon Properties

{
  "startUrls": [],
  "cities": ["Paris", "Lyon"],
  "maxItems": 50,
  "proxy": { "useApifyProxy": false }
}

Example Output – Paris Flatshare

{
  "propertyId": "0033e34c-2f7a-4a5c-9c1e-123456789abc",
  "title": "91m² Private room in a flatshare for 4 people",
  "url": "https://www.studapart.com/en/accommodation-Paris/91m2-Private-room-in-a-flatshare-for-4-people/property/0033e34c-2f7a-4a5c-9c1e-123456789abc",
  "city": "Paris",
  "address": "12 Rue Example",
  "postalCode": "75011",
  "country": "France",
  "latitude": 48.8566,
  "longitude": 2.3522,
  "propertyType": "Apartment",
  "roomType": "Private room",
  "listingType": "Flatshare",
  "monthlyRent": 850,
  "currency": "EUR",
  "chargesAmount": 60,
  "rentIncludesCharges": false,
  "deposit": 1700,
  "depositRequired": true,
  "surfaceM2": 91,
  "bedrooms": 4,
  "bathrooms": 1,
  "maxTenants": 4,
  "furnished": true,
  "amenities": ["Wi-Fi", "Washing machine", "Heating"],
  "leaseType": "Flexible",
  "minLeaseDuration": "3 months",
  "availability": "2026-11-15",
  "rooms": [
    {
      "label": "Room 2",
      "rent": 850,
      "surfaceM2": 14,
      "furnished": true,
      "maxTenants": 1,
      "availableFrom": "2026-11-15",
      "category": "Private room"
    }
  ],
  "description": "Furnished private room in a four-person flatshare near public transport.",
  "rating": 4.6,
  "reviewCount": 12,
  "scrapedAt": "2026-10-31T12:00:00.000Z"
}

Export Student Housing Data To JSON, CSV Or Excel And Schedule Runs

Download results as JSON, CSV, Excel or XML from the run page or through the Apify API. Connect runs to Google Sheets, Make, Zapier or webhooks, or schedule weekly refreshes to track new properties and room availability.

Related Actors

• Google Maps Scraper — add neighborhood context and nearby amenities
• Google Search Scraper — research universities and student cities
• Contact Details Scraper — enrich landlord and agency websites
• Website Content Crawler — collect public university housing information

FAQ

What is Studapart?

Studapart is a student-housing platform with rooms, flatshares, studios, apartments and residences in France, Belgium and other European cities.

Do I need a Studapart account?

No. The Actor reads public listings and never asks for your Studapart credentials.

Why is ownerName missing?

Studapart does not publish landlord or agency names on every listing. The Actor returns the public lessor type and profile URL when available.

Why are charges or deposit missing?

Some landlords do not disclose charges, deposits or lease details. Those fields stay null or empty.

How are rooms returned?

Each property is one dataset row. Individual room offers are nested in the rooms array, so you can compare rent and availability without flattening the property.

Does it include all cities?

Coverage depends on the public Studapart inventory. Leave cities empty to include all available cities, or pass a city filter to narrow the run.

How much does it cost?

FREE and BRONZE users pay $0.0015 per property ($1.50 per 1,000), SILVER pays $0.00145 and GOLD+ pays $0.0014, plus a small Actor Start event.

Can I scrape a single property?

Yes. Pass its property detail URL in startUrls.

For AI Agents & LLM Apps

Returns one row per Studapart property with rent, charges, deposit, location, amenities, lease terms and a nested array of room offers.

Minimal working input:

{ "cities": ["Paris"], "maxItems": 24 }

Output fields: propertyId, title, url, city, address, postalCode, country, latitude, longitude, propertyType, roomType, listingType, monthlyRent, currency, chargesAmount, rentIncludesCharges, chargesIncluded, chargesNotIncluded, deposit, depositRequired, surfaceM2, floor, roomsCount, bathrooms, bedrooms, maxTenants, furnished, amenities, leaseType, minLeaseDuration, availability, photos, ownerName, ownerProfileUrl, lessorType, rooms, description, rating, reviewCount, scrapedAt.

Behaviors an agent should know:

• cities is a city filter; leave it empty for all available cities.
• maxItems is capped at 1,000.
• rooms is a nested array; each room has its own rent and availability.
• ownerName and lessorType can be null when the landlord does not publish them.
• depositRequired and rentIncludesCharges are provided even when the amount is missing.
• Free users get a 10-property preview.

Billing: $0.0015 per property on FREE/BRONZE ($1.50 per 1,000), $0.00145 on SILVER and $0.0014 on GOLD+, plus a small Actor Start event.

Legal & Compliance Disclaimer

This Actor is an independent tool. It is not affiliated with, endorsed by or sponsored by Studapart.

It collects publicly available housing listings — no login and no private account. Listing details and prices are landlord-reported and may change. Users are responsible for complying with Studapart's terms and applicable housing, privacy and consumer law. Nothing here is legal or financial advice.

SEO Keywords

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