# eMag Product & Offers Scraper (`scraping_crew/emag-product-and-offers`) Actor

Extract structured product and pricing data from eMag — the largest online marketplace in Bulgaria, Romania, and Hungary. Supports category pages, brand filters, and multi-seller offer comparison.

- **URL**: https://apify.com/scraping_crew/emag-product-and-offers.md
- **Developed by:** [Scraping Crew](https://apify.com/scraping_crew) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 11 total users, 2 monthly users, 77.8% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.40 / 1,000 products

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

## eMag Product & Offers Scraper

**Monitor competitor prices across Bulgaria, Romania and Hungary in minutes. Export complete product catalogs, every marketplace seller, reviews and price history context from eMAG—no coding required.**

Unlike many eMAG scrapers that return only the featured (buy-box) offer, this Actor retrieves every active marketplace seller for each product, along with optional customer reviews, promotional flags, and price history. The result is a complete view of the eMAG marketplace, ready for price monitoring, competitor analysis, and retail intelligence.

Whether you're a price intelligence analyst, brand manager, e-commerce retailer, marketplace seller, or data scientist, this Actor provides structured access to product information including names, prices, images, ratings, EANs, categories, and every competing marketplace offer.

✅ Bulgaria 🇧🇬 Romania 🇷🇴 Hungary 🇭🇺

✅ Every marketplace offer *(paid plans)*

✅ Optional reviews *(paid plans)*

✅ 30-day lowest price

✅ JSON • CSV • Excel • API

### What does eMag Product & Offers Scraper do?

Whether you're a price intelligence analyst, brand manager, e-commerce retailer, marketplace seller, or data scientist, this Actor provides structured access to product information including names, prices, images, ratings, EANs, categories, and every competing marketplace offer.

This Actor connects to [eMag](https://www.emag.bg) — the largest online retail platform across Southeast Europe — and extracts clean, ready-to-use product data from any category page or brand filter page you point it at.

For every product it finds, it goes one step further than a standard scraper. It retrieve every seller who is currently listing that product, along with their individual price. This means you get not just the "featured" price you see on the listing page, but the **complete marketplace picture** — every seller, every price, all at once.

You can download all results as JSON, CSV, Excel, or HTML directly from the Apify platform.

### Why use eMag Product & Offers Scraper?

- **Three-country coverage** — works across all three eMag storefronts: [emag.bg](https://www.emag.bg) (Bulgaria), [emag.ro](https://www.emag.ro) (Romania), and [emag.hu](https://www.emag.hu) (Hungary). One tool, three markets.
- **Full seller landscape with multi-offer data** — most scrapers only return the buy-box winner. This Actor calls the dedicated multi-offer endpoint for each product and returns every active seller side by side, so you see the true competitive landscape at a glance.
- **Genius & Black Friday flags** — each product and each individual offer is tagged with whether it is part of the eMag Genius loyalty programme, exclusive to Genius members only, or currently carrying a Black Friday promotional price.
- **Historically lowest price** — captures the 30-day lowest price ("old price") alongside the current price, giving you built-in price history context.
- **No technical setup required** — just paste your eMag category URL, click Run, and get your data.
- **Runs on Apify cloud** — no servers to manage, built-in scheduling so you can monitor prices daily.

### How to use eMag Product & Offers Scraper

1. **Open the Actor** on the Apify platform and click **Try for free**.
2. **Paste your eMag URL** into the Start URLs field. This can be any category page (e.g. `https://www.emag.bg/televizori/c`) or a brand-filtered page (e.g. `https://www.emag.ro/telefoane/brand/samsung/c`). Works for Bulgaria (`.bg`), Romania (`.ro`), and Hungary (`.hu`).
3. **(Optional) Configure proxy** — if you want to run at high volume, enable Apify Proxy for smoother, uninterrupted collection.
4. **Click Run** and wait for the Actor to finish. Most category pages complete in a few minutes.
5. **Download your data** from the Output tab in JSON, CSV, or Excel — or connect directly to your pipeline via the Apify API.

### Input

| Field | Type | Default | Description | Required |
|-------|------|---------|-------------|----------|
| **Start URLs** | array | — | eMag category or brand page URLs to scrape | Yes |
| **Proxy Configuration** | object | disabled | Optional proxy settings for high-volume runs | No |
| **Max Items** | integer | 10 | Maximum number of products to scrape. Set to `0` for no limit. The run stops **exactly** at this limit — the spider halts the moment the cap is reached and drops any queued requests | No |
| **Get Offers** | boolean | false | Collects all seller offers per product and appends them as an `offers` field. **Available on paid plans only** — ignored on the free tier. Only products with multiple sellers will have a non-empty array. Configuring a proxy significantly increases success rates | No |
| **Get Reviews** | boolean | false | Collects all customer reviews per product and appends them as a `reviews` field. **Available on paid plans only** — ignored on the free tier. Products with no reviews return an empty array. Configuring a proxy significantly increases success rates | No |
| **Concurrent Requests** | integer (1–16) | 1 | Number of parallel HTTP requests. Higher values increase speed; the Max Items cap is still enforced exactly regardless of this setting | No |

**Example input:**

```json
{
  "startUrls": [
    { "url": "https://www.emag.bg/televizori/brand/lg/c" },
    { "url": "https://www.emag.ro/laptopuri/brand/apple/c" }
  ],
  "maxItems": 500,
  "concurrentRequests": 4,
  "getOffers": true,
  "getReviews": false
}
```

> **Free User Limitations:** reviews and offers are **paid-only** features. On the free tier the full product catalog (name, price, 30-day lowest price, images, specs, EANs, categories) is still scraped, but `getReviews` and `getOffers` are ignored. Upgrade to a [paid plan](https://apify.com/pricing) to enable multi-seller offers and customer reviews.

### Output

Each item in the dataset represents one product. The `offers` field contains the full multi-seller breakdown — one entry per seller who is actively listing that product on eMag.

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

**Example output item:**

```json
{
  "sku": "TVLG55UR78003LKXXH",
  "name": "LG 55UR78003LK 4K UHD Smart TV, 139 cm",
  "brand": "LG",
  "ean": ["8806087089851"],
  "partNums": ["55UR78003LK"],
  "category": ["Televizori", "LCD televizori"],
  "product_url": "https://www.emag.bg/lg-55ur78003lk-televizor/pd/XXXXX/",
  "listing_url": "https://www.emag.bg/televizori/brand/lg/c",
  "images": [
    "https://s13emagst.akamaized.net/products/XXX/XXX/images/res_XXXXX_1.jpg"
  ],
  "price": "1299.99",
  "old_price": "1499.99",
  "rating": 4,
  "is_genius": true,
  "exclusive_for_genius_users": false,
  "is_bf_price": false,
  "offers": [
    {
      "seller": "eMag",
      "price": 1299.99,
      "is_genius": true,
      "exclusive_for_genius_users": false,
      "is_bf_price": false
    },
    {
      "seller": "TechStore BG",
      "price": 1349.00,
      "is_genius": false,
      "exclusive_for_genius_users": false,
      "is_bf_price": false
    }
  ],
  "reviews": [
    {
      "user": "Ivan P.",
      "review": "Excellent picture quality, very happy with the purchase.",
      "rating": 5,
      "published_at": "2025-04-10T08:23:11"
    },
    {
      "user": "Maria K.",
      "review": "Good TV for the price, setup was easy.",
      "rating": 4,
      "published_at": "2025-03-02T14:05:44"
    }
  ]
}
```

### Data fields

| Field | Type | Description |
|-------|------|-------------|
| `sku` | `string` | eMag internal product identifier |
| `name` | `string` | Full product name as shown on eMag |
| `brand` | `string` | Brand name |
| `ean` | `string[]` | EAN/barcode(s) for the product |
| `partNums` | `string[]` | Manufacturer part numbers |
| `category` | `string[]` | Category breadcrumb trail |
| `product_url` | `string` | Direct link to the product page |
| `listing_url` | `string` | The source category/brand URL you provided |
| `images` | `string[]` | Full-resolution product image URLs |
| `price` | `string` | Current listed price |
| `old_price` | `string` | Lowest price in the past 30 days (for price history context) |
| `rating` | `integer` | Average customer rating |
| `is_genius` | `boolean` | Whether the product qualifies for the eMag Genius loyalty programme |
| `exclusive_for_genius_users` | `boolean` | Whether the product is available only to Genius members |
| `is_bf_price` | `boolean` | Whether the current price is a Black Friday promotional price |
| `offers` | `object[]` | **Full multi-seller list** — each object contains `seller` (string), `price` (number), `is_genius` (boolean), `exclusive_for_genius_users` (boolean), `is_bf_price` (boolean) |
| `reviews` | `object[]` | *(Optional)* Customer reviews — only present when **Get Reviews** is enabled. Each object contains `user` (string), `review` (string), `rating` (integer), `published_at` (string). Empty array if the product has no reviews |

### Three-country support

The same Actor works seamlessly across all three eMag markets. Just paste the URL for the country you want:

| Country | Domain | Example URL |
|---------|--------|-------------|
| Bulgaria | emag.bg | `https://www.emag.bg/mobilni-telefoni/c` |
| Romania | emag.ro | `https://www.emag.ro/telefoane/c` |
| Hungary | emag.hu | `https://www.emag.hu/mobiltelefonok/c` |

You can mix URLs from multiple countries in a single run.

### The multi-offer advantage

Most scrapers show you one price per product — the one eMag puts in the spotlight. But eMag is a **marketplace**, and any given product can have five, ten, or even more third-party sellers competing on price at the same time.

This Actor fetches the full seller list for every product using eMag's own multi-offer endpoint. The result is the `offers` array in the output — a complete, ranked snapshot of every seller currently active for that product, with their price and promotional flags.

This makes the Actor uniquely suited for:

- **Price intelligence and competitor monitoring** — see exactly who is undercutting whom
- **MAP (minimum advertised price) compliance** — quickly spot any seller violating your brand's pricing policy
- **Marketplace seller research** — identify who the major third-party sellers are in your category
- **Repricing automation** — feed the data directly into your repricing tools via API

### Proxy guidance

Proxy requirements differ by country:

| Country | Without proxy | Recommended proxy |
|---------|--------------|-------------------|
| Bulgaria (emag.bg) | Often works, not guaranteed | Apify Residential if blocked |
| Romania (emag.ro) | Often works, not guaranteed | Apify Residential if blocked |
| Hungary (emag.hu) | Unlikely to work | Apify Residential (required) |

**Hungary** is the most aggressively protected storefront. A residential proxy is effectively required — configure `proxyConfiguration` with `useApifyProxy: true` and set the group to `RESIDENTIAL`:

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

Residential proxy usage is billed to your own Apify account at standard Apify rates.

**Apify datacenter proxies are not recommended for any eMag storefront.** Their IP ranges are well-known to rate-limiting systems and eMAG's traffic gate will likely block them before you collect meaningful data.

### Tips for best results

- **Schedule regular runs** — use Apify's built-in scheduler to track price changes daily or weekly without lifting a finger.
- **Export to Google Sheets** — connect the dataset to Google Sheets via the Apify integration for live price dashboards with zero engineering effort.

### FAQ and support

**Which eMag page types are supported?**
Category pages and brand-filtered pages. Direct product page URLs are not currently supported as start URLs.

**Can I scrape a single brand across all three countries at once?**
Yes — just add one URL per country in the Start URLs field and the Actor handles them all in parallel.

**Something is not working?**
Open an issue on the **Issues** tab of this Actor page. We respond promptly and can build custom solutions for specific data needs.

**Disclaimer:** This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by eMAG or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

# Actor input Schema

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

URLs to start with

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

Proxy settings for the scraper. For Hungary (emag.hu) a RESIDENTIAL proxy is required. Datacenter proxies are not recommended — eMAG rate-limits their IP ranges. You can also supply your own proxy URLs.

## `getReviews` (type: `boolean`):

When enabled, the scraper will collect all customer reviews for each product and append them as a 'reviews' field in the dataset output. Charges $0.0003 per 100 reviews (or part thereof) per product — e.g. 1–100 reviews = $0.0003, 101–200 = $0.0006. The minimum charge per product is $0.0003. Note: some products may have no reviews, in which case the 'reviews' field will be an empty array and no charge is applied. Tip: configuring a proxy significantly increases success rates when fetching reviews.

## `getOffers` (type: `boolean`):

When enabled, the scraper will collect all seller offers for each product and append them as an 'offers' field in the dataset output. This is included at no extra charge. Note: only products listed by multiple sellers will have an 'offers' array; products with a single seller will have an empty array. Tip: configuring a proxy significantly increases success rates when fetching offers.

## `concurrentRequests` (type: `integer`):

Number of concurrent HTTP requests the scraper will make. Higher values increase speed but widen the gap between scraped items and the Max Items soft limit. Each in-flight request returns up to 100 products, so with 16 concurrent requests you could overshoot Max Items by up to 1,600 products. Keep this low if an accurate item count matters.

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

Maximum number of products to scrape. Set to 0 to scrape all products without limit.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.emag.bg/televizori/brand/lg/c"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": false,
    "apifyProxyGroups": [],
    "proxyUrls": []
  },
  "getReviews": false,
  "getOffers": false,
  "concurrentRequests": 1,
  "maxItems": 100
}
```

# Actor output Schema

## `dataset` (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 = {
    "startUrls": [
        {
            "url": "https://www.emag.bg/televizori/brand/lg/c"
        }
    ],
    "proxyConfiguration": {
        "useApifyProxy": false,
        "apifyProxyGroups": [],
        "proxyUrls": []
    },
    "getReviews": false,
    "getOffers": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("scraping_crew/emag-product-and-offers").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": [{ "url": "https://www.emag.bg/televizori/brand/lg/c" }],
    "proxyConfiguration": {
        "useApifyProxy": False,
        "apifyProxyGroups": [],
        "proxyUrls": [],
    },
    "getReviews": False,
    "getOffers": False,
}

# Run the Actor and wait for it to finish
run = client.actor("scraping_crew/emag-product-and-offers").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 '{
  "startUrls": [
    {
      "url": "https://www.emag.bg/televizori/brand/lg/c"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": false,
    "apifyProxyGroups": [],
    "proxyUrls": []
  },
  "getReviews": false,
  "getOffers": false
}' |
apify call scraping_crew/emag-product-and-offers --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scraping_crew/emag-product-and-offers"
        }
    }
}
```

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/oKXeHVIoEy0b3GNf7/builds/LBx8715Y1zims1X8v/openapi.json