# Krisha.kz Scraper — Kazakhstan Property Listings & Prices (`logiover/krisha-kz-scraper`) Actor

Scrape job postings for France from Talent.com: title, hiring company, city, contract type and advertised salary, quick-apply flag, update recency and a description snippet. Keyless, no login. Export JSON, CSV or Excel.

- **URL**: https://apify.com/logiover/krisha-kz-scraper.md
- **Developed by:** [Logiover](https://apify.com/logiover) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 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.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Krisha.kz Scraper — Kazakhstan Property Listings & Prices

Export property listings from **Krisha.kz** — price, rooms, floor area and district address — to JSON, CSV or Excel. Keyless, no login.

### What does this Actor do?

Krisha.kz is one of Kazakhstan's largest real-estate portals and renders its results server-side, so this Actor parses the result cards directly and walks the pagination. No API key, no account, no cookies.

The card packs rooms, area and floor into the **title line** — `3-комнатная квартира · 60 м² · 1/4 этаж`. Those are parsed out into their own numeric columns (`rooms`, `areaSqm`, `floor`, `floorsTotal`), because a buyer cannot filter by size while that data sits inside a Cyrillic sentence.

Prices are kept twice: the label exactly as displayed, and a numeric value so listings can be sorted and filtered on price without string surgery.

### Who is it for?

- **Property analysts** tracking asking prices across Kazakhstan.
- **Estate agencies** benchmarking a competing inventory.
- **Investors** hunting listings below the local median.
- **Proptech and portal builders** who need a Kazakhstan feed.
- **Researchers** measuring supply, size mix and regional spread.

### Use cases

- Compare asking prices per square metre between Almaty, Astana, Shymkent, Karaganda.
- Track how many new listings appear in a district each week.
- Filter to properties in a size and price band for an investment shortlist.
- Export a district snapshot with coordinates and images for a dashboard.
- Monitor how long inventory stays online by re-running on a schedule.

### Why use this Actor?

- **Keyless** — no account, no token, no login.
- **Sortable numbers** — price and area are real numeric columns, not strings.
- **Honest columns** — a value only lands in a column when it matches that field's own pattern.
- **Real filters** — deal type, property type, city and price band applied at the source.
- **Time-budgeted** — a slow page ends the run cleanly with rows saved rather than being killed.
- **Export anywhere** — JSON, CSV, Excel or the Apify API.

### What data can you extract?

Every row carries the listing's identity, its price in both label and numeric form, its size and location, and a direct link to the original ad. See the Output tab for the full field list with types.

### How to use it

1. Pick the deal type and property type.
2. Set the city and, if you want, a price band.
3. Set **Maximum results** and run, then export JSON, CSV or Excel.

### Notes and limits

- Listing text is written by sellers and agents, so it appears in the local language.
- Prices are asking prices as published, not transaction prices.
- This Actor exports result cards, not full listing pages — that is what keeps bulk runs cheap. Open the listing URL for the complete description and contact options.
- Agency and private listings are both included; the source publishes them in one feed.
- You are responsible for how you use listing and seller data, including under GDPR where it applies.

### FAQ

**Do I need an account on Krisha.kz?**
No. Listings are public and this Actor needs nothing from you.

**Is the price numeric?**
Yes. Every row carries both the original label and a numeric value for sorting and filtering.

**Does it return the full description?**
No — the card fields plus a direct link. Fetching every detail page would multiply the cost of a bulk export.

**Can I filter by size?**
Area is a numeric column, so filter the exported dataset on it; the source's own size filters are not exposed on every category.

**How am I charged?**
Pay per result — you pay for the listings delivered.

# Actor input Schema

## `deal` (type: `string`):

Krisha URL segment for the deal: prodazha (sale) or arenda (rent).

## `propertyType` (type: `string`):

Krisha URL segment, e.g. kvartiry (flats), doma (houses), uchastki (land), kommercheskaya (commercial).

## `city` (type: `string`):

Krisha city slug, e.g. almaty, astana, shymkent, karaganda.

## `minPrice` (type: `integer`):

Only return listings at or above this price. 0 disables the filter.

## `maxPrice` (type: `integer`):

Only return listings at or below this price. 0 disables the filter.

## `rooms` (type: `integer`):

Filter by number of rooms. 0 returns every size.

## `maxResults` (type: `integer`):

Stop after this many listings. The Actor walks pages until the target is met.

## `proxyConfiguration` (type: `object`):

Krisha serves plain HTML; the default datacenter proxy is enough.

## Actor input object example

```json
{
  "deal": "prodazha",
  "propertyType": "kvartiry",
  "city": "almaty",
  "minPrice": 0,
  "maxPrice": 0,
  "rooms": 0,
  "maxResults": 500,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `listingId` (type: `string`):

No description

## `title` (type: `string`):

No description

## `listingUrl` (type: `string`):

No description

## `rooms` (type: `string`):

No description

## `areaSqm` (type: `string`):

No description

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

No description

## `floorsTotal` (type: `string`):

No description

## `priceLabel` (type: `string`):

No description

## `priceAmount` (type: `string`):

No description

## `currency` (type: `string`):

No description

## `address` (type: `string`):

No description

## `city` (type: `string`):

No description

## `postedLabel` (type: `string`):

No description

## `badge` (type: `string`):

No description

## `isAgent` (type: `string`):

No description

## `description` (type: `string`):

No description

## `imageUrl` (type: `string`):

No description

## `country` (type: `string`):

No description

## `source` (type: `string`):

No description

## `scrapedAt` (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 = {
    "deal": "prodazha",
    "propertyType": "kvartiry",
    "city": "almaty",
    "minPrice": 0,
    "maxPrice": 0,
    "rooms": 0,
    "maxResults": 500,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("logiover/krisha-kz-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 = {
    "deal": "prodazha",
    "propertyType": "kvartiry",
    "city": "almaty",
    "minPrice": 0,
    "maxPrice": 0,
    "rooms": 0,
    "maxResults": 500,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("logiover/krisha-kz-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 '{
  "deal": "prodazha",
  "propertyType": "kvartiry",
  "city": "almaty",
  "minPrice": 0,
  "maxPrice": 0,
  "rooms": 0,
  "maxResults": 500,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call logiover/krisha-kz-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,logiover/krisha-kz-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/hkpEo33A0P5ftc0NE/builds/ZjH8AnlMybUYvTAsS/openapi.json