# Zalando Scraper (`vistics/zalando-scraper`) Actor

Scrape Zalando product data across all European markets.
Extracts product name, brand, price, currency, discount,
images, color, variants & description. Supports UK, DE,
FR, IT, ES and more. Fast, reliable & easy to use. 🚀

- **URL**: https://apify.com/vistics/zalando-scraper.md
- **Developed by:** [Ilong Mamman](https://apify.com/vistics) (community)
- **Categories:** E-commerce, Other
- **Stats:** 136 total users, 9 monthly users, 98.9% runs succeeded, 23 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $10.00 / 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?

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

## Zalando Scraper | Extract Products, Prices & Images

Extract comprehensive product data from Zalando's European
marketplaces — fast, reliably, and at scale. Supports category
pages, search results, and individual product detail pages.

### What Data Can You Extract?

| Field              | Description                    |
| ------------------ | ------------------------------ |
| `name`             | Product name                   |
| `brand`            | Brand name                     |
| `price`            | Original price                 |
| `promotionalPrice` | Sale/discounted price          |
| `discountPercent`  | Discount percentage            |
| `currency`         | Currency symbol                |
| `images`           | High-resolution product images |
| `color`            | Product color                  |
| `variants`         | Available sizes & variants     |
| `description`      | Full product description       |
| `material`         | Material & care instructions   |
| `sku`              | Product SKU                    |
| `url`              | Direct product URL             |

### Why Scrape Zalando?

- 💰 **Price Monitoring** — Track competitor pricing and discounts
- 📊 **Market Research** — Discover trending brands and products
- 🛒 **E-commerce** — Build product databases for dropshipping
- 📦 **Stock Tracking** — Monitor availability across sizes
- 🔍 **Competitive Intelligence** — Analyse competitor strategies

### Supported Markets

🇬🇧 UK | 🇩🇪 Germany | 🇫🇷 France | 🇮🇹 Italy | 🇪🇸 Spain |
🇳🇱 Netherlands | 🇧🇪 Belgium | 🇵🇱 Poland | and more

### How to Use

#### 1. Category Page Scraping

Paste a Zalando category URL to scrape all products in that category.

```
https://www.zalando.co.uk/mens-clothing/
https://www.zalando.de/damen-kleider/
```

#### 2. Search Results Scraping

Search for a product on Zalando, copy the URL and paste it as input.

```
https://www.zalando.co.uk/search/?q=nike+shoes
```

### Input Parameters

| Parameter                                             | Type   | Description                  | Default  |
| ----------------------------------------------------- | ------ | ---------------------------- | -------- |
| `startUrls`:"https://www.zalando.co.uk/mens-clothing" | Array  | Zalando URLs to scrape       | Required |
| `maxResults`                                          | Number | Maximum products to extract  | `10`     |
| `maxConcurrency`                                      | Number | Concurrent browser instances | `2`      |

### Output Example

```json
[
  {
    "name": "Calvin Klein Slim Taper Jeans",
    "brand": "Calvin Klein Jeans",
    "price": 89.99,
    "promotionalPrice": 69.99,
    "discountPercent": 22,
    "priceCurrency": "GBP",
    "color": "Blue",
    "images": ["https://img01.ztat.net/article/..."],
    "url": "https://www.zalando.co.uk/..."
  }
]
```

> ⚠️ Do not leave the input URL field blank.

### FAQ

**Which Zalando countries are supported?**
All major European Zalando domains are supported. Ensure you use
the correct country domain for your target market.

**How many products can I scrape?**
Set `maxResults` in the input to control the number of products.
There is no hard limit — scrape as many as you need.

**What format is the output?**
Clean, structured JSON — ready to export to CSV, Excel, or any
database.

### Need Help?

Open an issue or contact us through the Apify platform.
We typically respond within 24 hours. ⚡

# Actor input Schema

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

URLs to start with. The actor currently supports basic category URLs such as `'https://www.zalando.co.uk/womens-clothing/'`, URLs of their subcategories and also direct product URLs, such as `'https://www.zalando.co.uk/calvin-klein-basic-t-shirt-wood-ash-6ca21d09a-b11.html'` and Search option `'https://www.zalando.co.uk/men/?q=calvin'`.

## `maxRequestRetries` (type: `integer`):

maxRequestRetries to use

## `maxConcurrency` (type: `integer`):

maxConcurrency to use

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

Maximum number of results to collect.

## Actor input object example

```json
{
  "startUrls": [
    "https://www.zalando.co.uk/womens-clothing"
  ],
  "maxRequestRetries": 3,
  "maxConcurrency": 4,
  "maxResults": 50
}
```

# 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.zalando.co.uk/womens-clothing"
    ],
    "maxRequestRetries": 3,
    "maxConcurrency": 4
};

// Run the Actor and wait for it to finish
const run = await client.actor("vistics/zalando-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.zalando.co.uk/womens-clothing"],
    "maxRequestRetries": 3,
    "maxConcurrency": 4,
}

# Run the Actor and wait for it to finish
run = client.actor("vistics/zalando-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 '{
  "startUrls": [
    "https://www.zalando.co.uk/womens-clothing"
  ],
  "maxRequestRetries": 3,
  "maxConcurrency": 4
}' |
apify call vistics/zalando-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,vistics/zalando-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/gUtzpgSANCUe5Gxdy/builds/sQevOgAvgT17KO8fs/openapi.json