# eMAG.ro Product Scraper (`gio21/emag-ro-scraper`) Actor

Scrape product listings from eMAG.ro, Romania's largest e-commerce marketplace. Returns title, price, currency, category and URL.

- **URL**: https://apify.com/gio21/emag-ro-scraper.md
- **Developed by:** [Gio](https://apify.com/gio21) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 product scrapeds

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

## eMAG.ro Product Scraper

Scrape product listings from **eMAG.ro**, Romania's largest e-commerce marketplace (also serving Bulgaria and Hungary). Returns title, price, currency, category and the product URL.

### Input

| Field | Type | Description |
|-------|------|--------------|
| `startUrls` | array | One or more emag.ro category or search-result URLs, e.g. `https://www.emag.ro/laptopuri/c` |
| `maxItems` | integer | Max products to return across all start URLs (paginates automatically, default 50, max 1000) |
| `maxPagesPerUrl` | integer | Max result pages to paginate through per start URL (default 10) |

Example:

```json
{
    "startUrls": ["https://www.emag.ro/laptopuri/c"],
    "maxItems": 100
}
```

### Output

```json
{
    "productId": "115786877",
    "title": "Apple MacBook Neo 13\" Retina cu procesor Apple A18 Pro...",
    "price": 3799.99,
    "currency": "RON",
    "category": "Laptop / Notebook",
    "url": "https://www.emag.ro/apple-macbook-neo-13-retina.../pd/DSR4HM2BM/",
    "scrapedAt": "2026-08-03T00:00:00.000Z"
}
```

### Common uses

- Romanian e-commerce price monitoring and market research
- Competitor and catalog tracking
- Feeding product data into comparison or aggregator tools

### Notes

Any emag.ro category or search-result URL works as a start URL.

# Actor input Schema

## `startUrls` (type: `array`):

One or more emag.ro category or search-result URLs, e.g. https://www.emag.ro/laptopuri/c

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

Maximum number of products to return across all start URLs (paginates automatically).

## `maxPagesPerUrl` (type: `integer`):

Maximum number of result pages to paginate through for each start URL.

## Actor input object example

```json
{
  "startUrls": [
    "https://www.emag.ro/laptopuri/c"
  ],
  "maxItems": 50,
  "maxPagesPerUrl": 10
}
```

# 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 = {
    "startUrls": [
        "https://www.emag.ro/laptopuri/c"
    ],
    "maxItems": 50,
    "maxPagesPerUrl": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("gio21/emag-ro-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 = {
    "startUrls": ["https://www.emag.ro/laptopuri/c"],
    "maxItems": 50,
    "maxPagesPerUrl": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("gio21/emag-ro-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 '{
  "startUrls": [
    "https://www.emag.ro/laptopuri/c"
  ],
  "maxItems": 50,
  "maxPagesPerUrl": 10
}' |
apify call gio21/emag-ro-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=gio21/emag-ro-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/sR3z6CSjZSTNSt86o/builds/PGkEVzmORyQzAzg54/openapi.json