# Studapart Student Housing Scraper (France) (`bibian/studapart-housing-scraper`) Actor

Extract student housing listings from Studapart by city: studios, shared flats and student residences with monthly rent, deposit, surface, furnishing, availability dates, amenities and description.

- **URL**: https://apify.com/bibian/studapart-housing-scraper.md
- **Developed by:** [Vivien MORVAN](https://apify.com/bibian) (community)
- **Categories:** Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 housing listings

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Studapart Student Housing Scraper (France)

Scrape student housing listings from [Studapart](https://www.studapart.com), 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:

```json
{
  "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.

# Actor input Schema

## `cities` (type: `array`):

French cities to search, for example "Paris", "Lyon", "Toulouse" or "Lille". Paris, Lyon and Marseille cover all their districts.

## `minRent` (type: `integer`):

Keep only listings whose monthly rent, charges included, is at least this amount.

## `maxRent` (type: `integer`):

Keep only listings whose monthly rent, charges included, is at most this amount.

## `availableWithinDays` (type: `integer`):

Keep only listings that can be rented within this many days from today. Use 0 to get every listing the site still shows.

## `maxItems` (type: `integer`):

The run stops once this many listings are saved.

## `includeDescriptions` (type: `boolean`):

Add the advertiser's description as plain text. E-mail addresses and phone numbers are removed.

## Actor input object example

```json
{
  "cities": [
    "Paris"
  ],
  "availableWithinDays": 90,
  "maxItems": 50,
  "includeDescriptions": true
}
```

# Actor output Schema

## `listings` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "cities": [
        "Paris"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("bibian/studapart-housing-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "cities": ["Paris"] }

# Run the Actor and wait for it to finish
run = client.actor("bibian/studapart-housing-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "cities": [
    "Paris"
  ]
}' |
apify call bibian/studapart-housing-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bibian/studapart-housing-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/3w87X24IllaR0NaFC/builds/zBjWGYBxUOqLPEz69/openapi.json