Studapart Student Housing Scraper (France)

Scrape student housing listings from Studapart, city by city, and get clean structured data: studios, shared flats and student residences with monthly rent, deposit, surface, furnishing and availability dates.

What you can do with it

• Track student rents: monthly rent, deposit and surface by city and district.
• Monitor availability: which units open up in the coming weeks, and for how long (minimum stay).
• Map the supply: residences and agencies that list in a given city, with their amenities.
• Feed a housing comparison or alert tool: run it daily and compare with the previous dataset.

Input

Field	What it does
Cities	One or more French cities, for example Paris, Lyon, Toulouse. Paris, Lyon and Marseille cover all their districts.
Minimum / maximum monthly rent	Keeps only listings in the rent range (charges included).
Available within (days)	Keeps listings that can be rented within this many days. 0 returns every listing the site still shows. Default 90.
Maximum number of listings	The run stops once this many listings are saved. Default 50.
Include full descriptions	Adds the advertiser's description as plain text.

Output

One record per listing:

{
  "id": "6949a52f-8e3f-48d1-86b7-9bc52749f7c3",
  "url": "https://www.studapart.com/fr/logement-france/logement/property/6949a52f-8e3f-48d1-86b7-9bc52749f7c3",
  "title": "Magnifique appartement BR/P - Nation / Bastille",
  "adType": "property",
  "announcementType": "rental",
  "propertyType": "apartment",
  "lessorType": "agency",
  "residenceName": null,
  "city": "Paris",
  "zipcode": "75011",
  "address": null,
  "latitude": 48.849,
  "longitude": 2.394,
  "monthlyRent": 2360,
  "monthlyRentWholeAccommodation": 2360,
  "deposit": 2500,
  "surfaceM2": 36,
  "roomsCount": 1,
  "bedroomsCount": 1,
  "maxTenants": 4,
  "furnished": true,
  "privateBathroom": false,
  "washingMachine": true,
  "petsAllowed": false,
  "parking": false,
  "services": [],
  "availableFrom": "2026-10-02",
  "availableUntil": "2026-11-01",
  "minStayMonths": 1,
  "responseRatePercent": 73,
  "pictureCount": 13,
  "pictureUrl": "https://media.studapart.com/property_images_large/6a32c098be6aa.jpeg",
  "publishedAt": "2026-05-03",
  "updatedAt": "2026-07-29",
  "description": "…"
}

Export the dataset as JSON, CSV or Excel, or read it through the Apify API.

Good to know

• lessorType is owner, agency or residence. Residences are businesses and are named (residenceName, address).
• Private landlords are never named, and their street address is not collected: you get the postal code, the city and an approximate position (about 100 m).
• E-mail addresses and phone numbers typed into descriptions are removed.
• For a shared flat, monthlyRent is the price of one room and monthlyRentWholeAccommodation the price of the whole flat.
• The site returns at most about 200 listings per search. To collect more, search several cities, narrow the rent range, or run it regularly.
• Cities are matched by name. An unknown name gives no result and a warning in the log.
• No browser and no proxy needed: runs are fast and cheap.
• The dataset contains housing listings only. No tenant or landlord personal data is collected.