# Hyperinzerce Real Estate Scraper (`dadhalfdev/hyperinzerce-real-estate-scraper`) Actor

Scrape apartments, houses, and land from Hyperinzerce Reality. Use the same listing filters as the site or paste a URL — the URL wins when set.

- **URL**: https://apify.com/dadhalfdev/hyperinzerce-real-estate-scraper.md
- **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## 🇨🇿 Hyperinzerce Real Estate Scraper

Want apartments, houses, and land from [Hyperinzerce Reality](https://nemovitosti-reality.hyperinzerce.cz/) in a spreadsheet? This scraper makes it easy.

Use **structured filters** — better for AI agents — **or** paste an **`input_url`**. When `input_url` is set it overrides the filters.

This actor stays on real-estate shelves that share the same fields (disposition, area, energy class, offer type) and returns up to 2000 rows per run.

### 💡 Perfect for...

- **Agencies & portals:** Export Hyperinzerce property ads with disposition and area.
- **Dashboards:** Track sale and rent prices without paging the site.
- **Market research:** Slice apartments, houses, and land by price or energy class.
- **Data analysts:** Export structured rows with public listing URLs.
- **🤖 AI Agents:** Power Claude, Cursor, Codex, the Hermes Agent, and OpenClaw workflows with live Hyperinzerce realty results.
- **📚 RAG Systems:** Feed titles, dispositions, and cities into retrieval pipelines.
- **🔗 AI Workflows:** Plug into LangChain, AutoGPT, CrewAI, and similar stacks.

### ✨ Why you'll love this scraper

- 🔗 **Input URL or Filters:** Paste a Reality search or listing URL, or pick the same filters as the site. `input_url` always wins when set.
- 🎯 **Website-Matched Filters:** Keyword, property shelf, region, price, and sort.
- 🌐 **Full ads:** Offer type, disposition, floor area, plot size, energy class, seller, photos, and description.

### 📦 What's inside the data?

`id`, `url`, `title`, `price`, `price_text`, `currency`, `location`, `section`, `shelf`, `image`, `images`, `description`, `posted`, `created`, `updated`, `seller`, `listing_type`, `offer_type`, `disposition`, `ownership`, `building_material`, `furnished`, `condition`, `floor_area_m2`, `plot_area_m2`, `built_area_m2`, `floor`, `floors`, `energy_class`, `parking`, `land_type`, `house_type`, `surroundings`, `house_position`, `year_completed`, `features`

### 🚀 Quick start

**Option A:** paste `https://byty.hyperinzerce.cz/byty-prodej`.
**Option B:** pick a property shelf or keyword, then set `max_results`.

**Input Example (filters):**

```json
{
  "category": "byty-prodej",
  "query": "brno",
  "price_max": 5000000,
  "max_results": 100
}
```

**Input Example (URL):**

```json
{
  "input_url": "https://byty.hyperinzerce.cz/byty-prodej",
  "max_results": 100
}
```

**Output Example:**

```json
{
  "id": "1234567890",
  "url": "https://byty.hyperinzerce.cz/byty-prodej/inzerat/1234567890-prodej-bytu-3-1",
  "title": "Prodej bytu 3+1 Sokolov",
  "price": 2450000,
  "currency": "CZK",
  "location": "Sokolov",
  "offer_type": "prodej bytu",
  "disposition": "3+1",
  "floor_area_m2": 70,
  "energy_class": "B"
}
```

### 📋 Input reference

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `input_url` | string | No | — | Reality search, category, or listing URL. Overrides every filter. |
| `query` | string | No | — | Same as the site search box. |
| `category` | dropdown | No | all | Apartments, houses, land, and related shelves. |
| `offer_type` | dropdown | No | any | Sale, auction, rent, or sublet. |
| `disposition` | dropdown | No | any | 1+kk, 2+1, and the other layouts. |
| `ownership` | dropdown | No | any | Personal, cooperative, state, or municipal. |
| `building_material` | dropdown | No | any | Brick or panel. |
| `parking` | dropdown | No | any | Outdoor, shared garage, or own garage. |
| `energy_class` | dropdown | No | any | Energy label from A to G. |
| `furnished` | dropdown | No | any | How the apartment is furnished. |
| `condition` | dropdown | No | any | Condition of the apartment. |
| `floor` | dropdown | No | any | Floor the apartment is on. |
| `location` | dropdown | No | all | Czech region, including abroad. |
| `price_min` | integer | No | — | Lowest price in Czech koruna. |
| `price_max` | integer | No | — | Highest price in Czech koruna. |
| `floor_area_min` / `floor_area_max` | integer | No | — | Floor area range in square metres. |
| `year_min` / `year_max` | integer | No | — | Completion year range. |
| `posted_within` | dropdown | No | any | Last 24 hours through last 2 months. |
| `ad_type` | dropdown | No | both | Offers for sale, or wanted ads. |
| `sort` | dropdown | No | recommended | Recommended, newest, cheapest, most expensive, nearest. |
| `max_results` | integer | No | 50 | How many rows to return (1–2000). |

### 🔧 Custom scrapers and agents

If you need a custom web scraper, or custom AI agents and workflows, contact me through [tuik.ai](https://www.tuik.ai). We help businesses cut costs and time by up to 10x.

# Actor input Schema

## `input_url` (type: `string`):

Paste a Hyperinzerce Reality search, category, or listing URL. Overrides every filter when set.

## `query` (type: `string`):

Same as the Hyperinzerce search box. Optional.

## `category` (type: `string`):

Property shelf. Apartment filters apply to apartments for sale or rent.

## `offer_type` (type: `string`):

Sale, auction, rent, or sublet. Sale options apply to apartments for sale; rent options apply to apartments for rent.

## `disposition` (type: `string`):

1+kk, 2+1, and the other layouts on the site.

## `ownership` (type: `string`):

Personal, cooperative, state, or municipal. Used for apartments for sale.

## `building_material` (type: `string`):

Brick or panel.

## `parking` (type: `string`):

Outdoor, shared garage, or own garage.

## `energy_class` (type: `string`):

Energy label from A to G.

## `furnished` (type: `string`):

How the apartment is furnished.

## `condition` (type: `string`):

Condition of the apartment.

## `floor` (type: `string`):

Floor the apartment is on.

## `location` (type: `string`):

Czech region, same list as the site.

## `price_min` (type: `integer`):

Lowest price in Czech koruna.

## `price_max` (type: `integer`):

Highest price in Czech koruna.

## `floor_area_min` (type: `integer`):

Smallest floor area.

## `floor_area_max` (type: `integer`):

Largest floor area.

## `year_min` (type: `integer`):

Earliest year of completion.

## `year_max` (type: `integer`):

Latest year of completion.

## `posted_within` (type: `string`):

Only ads from this recent period.

## `ad_type` (type: `string`):

Offers for sale, or ads from people looking to buy.

## `sort` (type: `string`):

Recommended, newest, cheapest, most expensive, or nearest.

## `max_results` (type: `integer`):

Maximum rows to return (1–2000).

## Actor input object example

```json
{
  "category": "",
  "offer_type": "",
  "disposition": "",
  "ownership": "",
  "building_material": "",
  "parking": "",
  "energy_class": "",
  "furnished": "",
  "condition": "",
  "floor": "",
  "location": "",
  "posted_within": "",
  "ad_type": "",
  "sort": "0",
  "max_results": 50
}
```

# Actor output Schema

## `overview` (type: `string`):

Table view of scraped listings using the dataset 'overview' view.

## `results` (type: `string`):

All scraped listings from the default dataset without view transformation.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("dadhalfdev/hyperinzerce-real-estate-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("dadhalfdev/hyperinzerce-real-estate-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 '{}' |
apify call dadhalfdev/hyperinzerce-real-estate-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dadhalfdev/hyperinzerce-real-estate-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/iTb98vwKykwB5SKtc/builds/qfYiccpJDrxJ6AfoS/openapi.json