# Swiss Rentals Scraper - Flatfox, Newhome & Homegate (`memo23/swiss-rentals-scraper`) Actor
Scrape Swiss real-estate from Flatfox, Newhome & Homegate in one run — rent or buy. Get price, rooms, living space, address, geo-coordinates, images, description, amenities, year built & agency. Search by city or paste listing URLs. Homegate’s bot wall solved. Pay per result.
- **URL**: https://apify.com/memo23/swiss-rentals-scraper.md
- **Developed by:** [Muhamed Didovic](https://apify.com/memo23) (community)
- **Categories:** Real estate, AI, Agents
- **Stats:** 18 total users, 17 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $5.00 / 1,000 listing results
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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Swiss Rentals Scraper — Flatfox, Newhome & Homegate
Scrape Swiss real-estate listings from **Flatfox**, **Newhome** and **Homegate** in a single run — for **rent** or **for sale**. Get price (gross & net), rooms, living space, full address with geo-coordinates, images, description, amenities, year built and the listing agency. Search by city or region, or paste individual listing URLs. The actor **solves Homegate's DataDome bot protection for you** and returns one clean, unified row shape across all three portals. Pay per result, no monthly fee.
#### How it works
#### ✨ Why use this scraper?
- **Three portals, one schema.** Flatfox, Newhome and Homegate return wildly different data structures — this actor normalizes them into a single identical row, so a Zürich flat looks the same whether it came from Homegate or Newhome.
- **Beats Homegate's bot wall.** Homegate is protected by DataDome; the actor unlocks it server-side and parses the embedded listing data — you just get the results.
- **Rent or buy.** Flip one toggle to switch between rental listings (mieten) and properties for sale (kaufen).
- **Fair coverage across sources.** The item budget is split evenly across the selected portals, so one large source can't crowd out the others — you get a genuine cross-market sample.
- **Full detail, including price.** Every row carries the gross price, net rent + extra costs where available, living space, room count, exact street, lat/long, the full image gallery and the plain-text description.
- **Pay per result.** Billed per listing with a hard `maxItems` cap — a run never collects (or charges) more than you set.
#### 🎯 Use cases
| You are… | Use it to… |
|---|---|
| **Real-estate analysts** | Track rents and sale prices by city, canton and property type across all major CH portals |
| **PropTech / listing aggregators** | Feed a unified Swiss listings dataset into your app or CRM |
| **Investors & agencies** | Monitor new supply, price changes and yields in target regions |
| **Relocation & search agents** | Pull fresh matching listings for clients on a schedule |
| **Market researchers** | Measure inventory, price/m² and time-on-market across Flatfox, Newhome & Homegate |
#### 📥 Supported inputs
| Input | Example | What you get |
|---|---|---|
| **Portals** | `["flatfox","newhome","homegate"]` | Any combination of the three sources |
| **City / region keyword** | `Zürich`, `Bern`, `Genève`, `Lausanne` | Listings matching that place on each portal |
| **Direct listing URL** | `https://www.homegate.ch/rent/4002086141` | That single listing, auto-routed to the right parser |
| **Rent or buy** | `RENT` / `BUY` | Rental market or for-sale market |
Leave the keyword list empty to scrape **nationwide** — Flatfox and Homegate cover all of Switzerland, and Newhome falls back to the major regions.
#### 📤 Output
Every listing is one row with an identical shape across all three portals:
```json
{
"type": "listing",
"site": "homegate",
"listingId": "4002086141",
"url": "https://www.homegate.ch/rent/4002086141",
"title": "Cosy Studio Apartment close to Zürich centre",
"offerType": "RENT",
"propertyType": "APARTMENT",
"price": 1971,
"currency": "CHF",
"rooms": 1,
"livingSpace": 17,
"street": "Rotbuchstrasse 9",
"zip": "8006",
"city": "Zürich",
"canton": "ZH",
"country": "CH",
"latitude": 47.386581,
"longitude": 8.548506,
"images": ["https://media2.homegate.ch/.../image.jpg"],
"description": "Neu eröffnet! Zentral gelegene Apartments …",
"attributes": ["hasParking", "hasElevator", "hasDishwasher"],
"yearBuilt": 2025,
"availableFrom": "2026-10-01T00:00:00",
"agency": "City Pop",
"scrapedAt": "2026-07-02T10:00:00.000Z",
"sourceUrl": "https://www.homegate.ch/rent/4002086141"
}
````
Export as **JSON, CSV, Excel** or via API.
#### ⚙️ How it works, per source
| Portal | Access | Notes |
|---|---|---|
| **Flatfox** | Public sitemap → server-rendered detail pages | Free; ~34,600 listings indexed |
| **Newhome** | Open JSON API (search → detail) | Free; price & description come from the detail call |
| **Homegate** | DataDome-protected — solved via built-in unlocker | The proxy input is only used for Flatfox & Newhome |
#### 💳 Pricing
This actor is **pay-per-result**: you're billed for each listing pushed to the dataset, capped by `maxItems`. Flatfox and Newhome are scraped for free; Homegate goes through a paid unlocker, and that cost is already blended into the flat per-result price — no surprises, no separate proxy bill.
#### ❓ FAQ
- **Do I need my own proxies?** No. Homegate is unlocked for you. Flatfox and Newhome work on Apify's proxy (residential recommended for large runs).
- **Rent and buy in one run?** Not simultaneously — run once with `RENT` and once with `BUY`.
- **How current is the data?** Live — every field is fetched at run time from each portal.
- **Can I schedule it?** Yes, use Apify Schedules to run it hourly/daily and diff the output.
> This tool is for lawful data collection of publicly available listings. Respect each portal's terms and applicable laws.
# Actor input Schema
## `sites` (type: `array`):
Which Swiss portals to scrape. Default: all three.
## `searchTerms` (type: `array`):
Places to search, e.g. `Zürich`, `Bern`, `Genève`, `Lausanne`. Leave empty to scrape nationwide (Flatfox & Homegate cover all of Switzerland; Newhome falls back to major regions).
## `startUrls` (type: `array`):
Paste individual Flatfox / Newhome / Homegate listing URLs — each is auto-routed to the right portal. When provided, keyword search is skipped.
## `transactionType` (type: `string`):
Scrape rentals (mieten) or properties for sale (kaufen).
## `maxItems` (type: `integer`):
Hard cap on listings collected (and billed) across all portals.
## `maxConcurrency` (type: `integer`):
Parallel requests. Default 5 is tuned for the built-in proxy — raising it speeds runs up but may lower the success rate unless you supply your own rotating proxy below.
## `proxy` (type: `object`):
Leave empty — the actor already routes all traffic through its own built-in residential proxy at no extra cost to you. Only set this if you want to use your own proxies.
## `enrichEmails` (type: `boolean`):
If enabled, finds a contact email for each result from its own website (or by discovering it from the name). Adds contactEmail + contactWebsite columns plus a detailed emailEnrichment object. Best-effort.
## Actor input object example
```json
{
"sites": [
"flatfox",
"newhome",
"homegate"
],
"searchTerms": [
"Zürich"
],
"startUrls": [],
"transactionType": "RENT",
"maxItems": 1000,
"maxConcurrency": 5,
"enrichEmails": false
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"sites": [
"flatfox",
"newhome",
"homegate"
],
"searchTerms": [
"Zürich"
],
"startUrls": []
};
// Run the Actor and wait for it to finish
const run = await client.actor("memo23/swiss-rentals-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"sites": [
"flatfox",
"newhome",
"homegate",
],
"searchTerms": ["Zürich"],
"startUrls": [],
}
# Run the Actor and wait for it to finish
run = client.actor("memo23/swiss-rentals-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"sites": [
"flatfox",
"newhome",
"homegate"
],
"searchTerms": [
"Zürich"
],
"startUrls": []
}' |
apify call memo23/swiss-rentals-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=memo23/swiss-rentals-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Swiss Rentals Scraper - Flatfox, Newhome & Homegate",
"description": "Scrape Swiss real-estate from Flatfox, Newhome & Homegate in one run — rent or buy. Get price, rooms, living space, address, geo-coordinates, images, description, amenities, year built & agency. Search by city or paste listing URLs. Homegate’s bot wall solved. Pay per result.",
"version": "0.0",
"x-build-id": "kklxbElepgdwyLR4F"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/memo23~swiss-rentals-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-memo23-swiss-rentals-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/memo23~swiss-rentals-scraper/runs": {
"post": {
"operationId": "runs-sync-memo23-swiss-rentals-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/memo23~swiss-rentals-scraper/run-sync": {
"post": {
"operationId": "run-sync-memo23-swiss-rentals-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"sites": {
"title": "Portals",
"type": "array",
"description": "Which Swiss portals to scrape. Default: all three.",
"items": {
"type": "string",
"enum": [
"flatfox",
"newhome",
"homegate"
],
"enumTitles": [
"Flatfox",
"Newhome",
"Homegate"
]
},
"default": [
"flatfox",
"newhome",
"homegate"
]
},
"searchTerms": {
"title": "City / region keywords",
"type": "array",
"description": "Places to search, e.g. `Zürich`, `Bern`, `Genève`, `Lausanne`. Leave empty to scrape nationwide (Flatfox & Homegate cover all of Switzerland; Newhome falls back to major regions).",
"items": {
"type": "string"
}
},
"startUrls": {
"title": "Direct listing URLs",
"type": "array",
"description": "Paste individual Flatfox / Newhome / Homegate listing URLs — each is auto-routed to the right portal. When provided, keyword search is skipped.",
"items": {
"type": "string"
}
},
"transactionType": {
"title": "Rent or buy",
"enum": [
"RENT",
"BUY"
],
"type": "string",
"description": "Scrape rentals (mieten) or properties for sale (kaufen).",
"default": "RENT"
},
"maxItems": {
"title": "Maximum listings",
"minimum": 1,
"type": "integer",
"description": "Hard cap on listings collected (and billed) across all portals.",
"default": 1000
},
"maxConcurrency": {
"title": "Max concurrency",
"minimum": 1,
"maximum": 20,
"type": "integer",
"description": "Parallel requests. Default 5 is tuned for the built-in proxy — raising it speeds runs up but may lower the success rate unless you supply your own rotating proxy below.",
"default": 5
},
"proxy": {
"title": "Proxy configuration (optional override)",
"type": "object",
"description": "Leave empty — the actor already routes all traffic through its own built-in residential proxy at no extra cost to you. Only set this if you want to use your own proxies."
},
"enrichEmails": {
"title": "Enrich with contact emails (experimental)",
"type": "boolean",
"description": "If enabled, finds a contact email for each result from its own website (or by discovering it from the name). Adds contactEmail + contactWebsite columns plus a detailed emailEnrichment object. Best-effort.",
"default": false
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```