# Njuškalo Scraper (`fervent_bus/njuskalo-scraper`) Actor

- **URL**: https://apify.com/fervent\_bus/njuskalo-scraper.md
- **Developed by:** [Archit Khurana](https://apify.com/fervent_bus) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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/actors/running/actors-in-store.md#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

## 🇭🇷 Njuškalo Scraper - Croatia Marketplace Extractor

[![Apify Actor](https://img.shields.io/badge/Apify-Actor-00D4AA?style=for-the-badge\&logo=apify)](https://apify.com)
[![Claude Compatible](https://img.shields.io/badge/Claude-MCP_Compatible-5A67D8?style=for-the-badge\&logo=anthropic)](https://claude.ai)
[![ChatGPT Compatible](https://img.shields.io/badge/ChatGPT-AI_Agent_Ready-10A37F?style=for-the-badge\&logo=openai)](https://openai.com)
[![Python 3.11](https://img.shields.io/badge/Python-3.11-3776AB?style=for-the-badge\&logo=python)](https://python.org)
[![License MIT](https://img.shields.io/badge/License-MIT-yellow?style=for-the-badge)](LICENSE)

> **🤖 AI-Agent Optimized**: Compatible with Claude, ChatGPT & AI agents via Apify MCP (Model Context Protocol)

Extract listings from **Njuškalo** (njuskalo.hr), Croatia's #1 online marketplace! Scrape cars, real estate, jobs, electronics, and more with advanced category filters, residential proxy support, and AI-friendly structured output.

### ✨ Features

- 🚗 **Multi-Category Support**: Cars (auti), real estate (nekretnine), jobs (poslovi), electronics, clothing, furniture & more
- 🎯 **Advanced Filters**: Search by keywords, location, price range, condition, and sort order
- 🌐 **Residential Proxy Support**: Built-in Apify residential proxy integration for reliable extraction
- 📊 **Structured Output**: Clean JSON/CSV/Excel export with all listing details
- 🤖 **AI-Agent Ready**: Optimized for Claude Code, ChatGPT plugins, and MCP integrations
- ⚡ **Fast & Reliable**: Automatic retries, pagination, and error handling
- 📝 **Full Descriptions**: Optional extraction of complete listing descriptions
- 🔄 **Real-time Progress**: Live logging and statistics during scraping

### 🚀 Quick Start

#### Using Apify Console

1. Go to [Apify Console](https://console.apify.com)
2. Search for "Njuškalo Scraper" in the Store
3. Click "Try for free"
4. Configure inputs:
   - **Category**: Select category (cars, real estate, jobs, etc.)
   - **Search Query**: Keywords to filter listings (optional)
   - **Location**: City or region (Zagreb, Split, Rijeka, etc.)
   - **Price Range**: Min/max price filters
   - **Max Results**: Number of listings to scrape
5. Click "Start" and wait for results!

#### Using API (Python)

```python
from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')

## Scrape cars in Zagreb under 10,000 EUR
run_input = {
    "category": "auti",
    "searchQuery": "",
    "location": "Zagreb",
    "priceMin": 0,
    "priceMax": 10000,
    "maxResults": 50,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

run = client.actor('YOUR_USERNAME/njuskalo-scraper').call(run_input=run_input)

## Fetch results
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(f"{item['title']} - {item['price']} - {item['location']}")
```

#### Using Claude (MCP Integration) 🤖

With Claude Desktop and Apify MCP:

```
Claude, scrape 20 car listings from Njuškalo in Split under 15000 EUR
```

Claude will automatically:

1. Configure the Njuškalo scraper with appropriate filters
2. Run the actor via MCP
3. Parse and present results in a readable format

#### Using ChatGPT (Plugin/Actions) 🤖

With ChatGPT Apify plugin:

```
Get me real estate listings in Zagreb from Njuškalo, max price 200000 EUR
```

### 📥 Input Parameters

| Parameter | Type | Required | Description | Example |
|-----------|------|----------|-------------|---------|
| `category` | String | ✅ Yes | Main category to scrape | `"auti"` (cars) |
| `searchQuery` | String | No | Search keywords | `"BMW X5"` |
| `location` | String | No | City or region filter | `"Zagreb"` |
| `priceMin` | Integer | No | Minimum price (HRK/EUR) | `5000` |
| `priceMax` | Integer | No | Maximum price (HRK/EUR) | `20000` |
| `condition` | String | No | Item condition | `"novo"` (new) |
| `sortBy` | String | No | Sort order | `"datum-silazno"` |
| `includeDescription` | Boolean | No | Extract full descriptions | `true` |
| `maxResults` | Integer | ✅ Yes | Max listings to scrape | `50` |
| `proxyConfiguration` | Object | No | Apify proxy settings | See below |

#### Categories

- 🚗 **auti** - Cars
- 🏠 **nekretnine** - Real Estate
- 💼 **poslovi** - Jobs
- 📱 **elektronika** - Electronics
- 👔 **odijeca-obuća** - Clothing & Shoes
- ⚽ **sport-fitness** - Sports & Fitness
- 🏡 **kućanski-aparati** - Home Appliances
- 🛋️ **namještaj** - Furniture
- 📋 **sve-kategorije** - All Categories

#### Sort Options

- `datum-silazno` - Newest first (default)
- `datum-uzlazno` - Oldest first
- `cijena-silazno` - Highest price
- `cijena-uzlazno` - Lowest price

#### Proxy Configuration

```json
{
  "useApifyProxy": true,
  "apifyProxyGroups": ["RESIDENTIAL"]
}
```

**Recommended**: Use residential proxies for reliable extraction and to avoid blocking.

### 📤 Output Format

Each listing contains:

```json
{
  "url": "https://www.njuskalo.hr/oglas/bmw-x5-m50d/12345678",
  "title": "BMW X5 M50d - 2019",
  "price": "45.000 €",
  "location": "Zagreb",
  "category": "Automobili",
  "condition": "Rabljeno",
  "description": "Full listing description...",
  "seller": "Auto Salon XYZ",
  "postedDate": "2024-01-15",
  "imageUrl": "https://static.njuskalo.hr/...",
  "scrapedAt": "2024-01-20T10:30:00Z"
}
```

### 🎯 Use Cases

- 🏢 **Market Research**: Analyze pricing trends across categories
- 🤖 **AI Agents**: Integrate with Claude/ChatGPT for automated searches
- 📊 **Price Monitoring**: Track item prices over time
- 🔍 **Lead Generation**: Find business opportunities in various categories
- 📈 **Data Analysis**: Build datasets for ML/analytics projects
- 🛒 **Competitor Analysis**: Monitor marketplace activity

### 🤖 AI Agent Integration

This actor is **optimized for AI agents** and supports:

#### Model Context Protocol (MCP)

```typescript
// MCP tool definition
{
  "name": "njuskalo_scraper",
  "description": "Extract listings from Njuškalo marketplace",
  "inputSchema": {
    "type": "object",
    "properties": {
      "category": { "type": "string", "enum": ["auti", "nekretnine", "poslovi", ...] },
      "searchQuery": { "type": "string" },
      "maxResults": { "type": "integer", "default": 20 }
    }
  }
}
```

#### Claude Code Integration

Claude can directly invoke this actor:

```python
## Claude's internal MCP call
await apify.run_actor(
    "YOUR_USERNAME/njuskalo-scraper",
    input={
        "category": "auti",
        "location": "Split",
        "maxResults": 10
    }
)
```

#### ChatGPT Actions

Configure in ChatGPT custom actions:

```yaml
openapi: 3.0.0
paths:
  /run-sync:
    post:
      operationId: runNjuskaloScraper
      parameters:
        - name: category
        - name: maxResults
```

### 🛠️ Technical Details

- **Runtime**: Python 3.11
- **Framework**: Apify SDK 2.0+
- **HTTP Client**: httpx (async)
- **Parser**: BeautifulSoup4 + JSON extraction
- **Architecture**: Async/await for efficient I/O
- **Extraction Method**: **INITIAL\_STATE** JSON parsing with HTML fallback
- **Proxy**: Apify residential proxy support
- **Retries**: Automatic retry logic with exponential backoff

#### Architecture

1. **Fetch**: Retrieve HTML with proxy support
2. **Extract**: Parse **INITIAL\_STATE** JSON from React app
3. **Fallback**: Use BeautifulSoup if JSON extraction fails
4. **Paginate**: Iterate through result pages
5. **Output**: Push structured data to Apify dataset

### 📊 Performance

- **Speed**: ~10-20 listings/second
- **Memory**: 512 MB - 1 GB RAM
- **Cost**: $0.005 per result (avg) + $0.05 start fee
- **Proxy**: Residential proxies recommended (~$0.50/GB)

### 🔧 Development

#### Local Testing

```bash
## Clone repository
git clone https://github.com/roshtarg-cpu/njuskalo-scraper.git
cd njuskalo-scraper

## Install dependencies
pip install -r requirements.txt

## Set Apify token
export APIFY_TOKEN='your_token_here'

## Run locally
apify run
```

#### Input Example (input.json)

```json
{
  "category": "auti",
  "searchQuery": "BMW",
  "location": "Zagreb",
  "priceMax": 20000,
  "maxResults": 30,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

### 📝 Changelog

#### Version 1.0 (2024-01)

- 🎉 Initial release
- ✅ Multi-category support
- ✅ Advanced filtering
- ✅ Residential proxy support
- ✅ AI-agent optimization

### 🤝 Support

- 📧 Email: support@example.com
- 🐛 Issues: [GitHub Issues](https://github.com/roshtarg-cpu/njuskalo-scraper/issues)
- 💬 Discord: [Apify Community](https://discord.com/invite/jyEM2PRvMU)

### 📜 License

MIT License - see [LICENSE](LICENSE) file for details.

### ⚖️ Legal & Ethics

This scraper is intended for:

- ✅ Market research and analysis
- ✅ Price monitoring
- ✅ Personal data collection for legitimate purposes

Please ensure compliance with:

- Njuškalo's Terms of Service
- Croatian data protection laws (GDPR)
- Robots.txt and rate limiting

**Do not use for**:

- ❌ Spam or unsolicited contact
- ❌ Copyright infringement
- ❌ Competitive harm

### 🌟 Keywords

`njuskalo`, `croatia`, `marketplace`, `scraper`, `apify`, `claude`, `chatgpt`, `ai-agent`, `mcp`, `model-context-protocol`, `web-scraping`, `data-extraction`, `croatia-marketplace`, `auti`, `nekretnine`, `poslovi`, `residential-proxy`, `structured-data`, `json-export`, `ai-compatible`, `automation`

***

**Made with ❤️ for AI agents & developers**

*Compatible with Claude, ChatGPT & AI agents via Apify MCP*

# Actor input Schema

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

Main category to scrape (auto-moto, nekretnine/real-estate, poslovi/jobs, elektronika, etc.)

## `searchQuery` (type: `string`):

Search term to filter listings (optional, leave empty for all)

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

Filter by city or region (Zagreb, Split, Rijeka, Osijek, etc.)

## `priceMin` (type: `integer`):

Minimum price in Croatian Kuna/EUR (optional)

## `priceMax` (type: `integer`):

Maximum price in Croatian Kuna/EUR (optional)

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

Filter by item condition

## `sortBy` (type: `string`):

How to sort results

## `includeDescription` (type: `boolean`):

Extract complete listing descriptions (slower but more detailed)

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

Maximum number of listings to scrape

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

Use Apify residential proxies for reliable extraction (recommended)

## Actor input object example

```json
{
  "category": "auti",
  "location": "Zagreb",
  "priceMax": 100000,
  "condition": "Any",
  "sortBy": "datum-silazno",
  "includeDescription": true,
  "maxResults": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Link to scraped dataset

# 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 = {
    "category": "auti",
    "searchQuery": "",
    "location": "Zagreb",
    "priceMin": 0,
    "priceMax": 100000,
    "condition": "Any",
    "sortBy": "datum-silazno",
    "includeDescription": true,
    "maxResults": 20,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("fervent_bus/njuskalo-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 = {
    "category": "auti",
    "searchQuery": "",
    "location": "Zagreb",
    "priceMin": 0,
    "priceMax": 100000,
    "condition": "Any",
    "sortBy": "datum-silazno",
    "includeDescription": True,
    "maxResults": 20,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("fervent_bus/njuskalo-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 '{
  "category": "auti",
  "searchQuery": "",
  "location": "Zagreb",
  "priceMin": 0,
  "priceMax": 100000,
  "condition": "Any",
  "sortBy": "datum-silazno",
  "includeDescription": true,
  "maxResults": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call fervent_bus/njuskalo-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fervent_bus/njuskalo-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/3Qw7ARO6i6vOEDbtU/builds/GvoU2NNRkiUUpicmm/openapi.json