# Zalando Fashion Listings Scraper (`devilscrapes/zalando-fashion-listings-scraper`) Actor

Scrape fashion product listings from Zalando.de category pages — SKU, name, brand, price, silhouette, gender, sizes, images, product URL. Category-path browsing (e.g. herrenschuhe-sneaker), with pagination, retry, and per-item fault isolation built in.

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

## Pricing

Pay per event

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

<div align="center">
  <img src=".actor/icon.svg" width="160" alt="Devil Scrapes mark" />

## Zalando Fashion Listings Scraper

**💰 $6.20 / 1 000 results**  ·  pay only for results  ·  no credit card to try

*The devil's in the data.* 😈

Scrape fashion product listings from Zalando.de by category — SKU, name, brand, price, silhouette, gender, available sizes, images, and product URL. Category-path browsing with pagination, retry, and per-item fault isolation built in. Export to JSON or CSV.

</div>

***

### 🎯 What this scrapes

Zalando.de is DE/EU's largest online fashion retailer, with no public product-listing API. This Actor scrapes any of Zalando's category pages — sneakers, boots, dresses, and every other category the site exposes as its own URL path — pulling the same structured product data the site itself renders per card: SKU, name, brand, price, silhouette (SNEAKER / BOOTS / etc.), gender, available sizes, and product images. Built on `curl-cffi` with browser TLS impersonation; no browser automation, no login required.

### 🔥 What we handle for you

- 🛡️ **Browser fingerprint rotation** — `curl-cffi` impersonates real Chrome / Firefox TLS handshakes so the target sees a browser, not Python.
- 🌐 **Proxy rotation** via Apify Proxy, pinned to Germany by default so a random exit can't silently swap in a different regional catalog.
- 🔁 **Retries with exponential backoff** on `408 / 429 / 5xx` — up to 5 attempts per page, `Retry-After` honoured.
- 🧱 **Per-category, per-page fault isolation** — one bad category path or one failed page never crashes the whole run.
- 🧊 **Clean, typed dataset rows** — Pydantic-validated, ISO-8601 timestamps, stable SKUs, JSON / CSV / Excel export straight from the Apify Console.
- 💰 **Pay-Per-Event pricing** — you only pay for results that hit your dataset. No data, no charge.

### 💡 Use cases

- **Price monitoring** — track price moves on specific categories or brands over time.
- **Assortment tracking** — see what's newly listed, out of stock, or discontinued in a category.
- **Trend research** — pull silhouette and brand mix across a category to spot fast-moving fashion trends.
- **Dropshipping sourcing** — build a structured product feed with prices, sizes, and images ready to re-list.
- **Competitive benchmarking** — compare your own catalog's pricing and assortment against Zalando's.

### ⚙️ How to use it

1. Click **Try for free** at the top of the page.
2. Enter one or more **category paths** — copy the path segment from any Zalando.de category URL (e.g. `herrenschuhe-sneaker` from `zalando.de/herrenschuhe-sneaker/`).
3. Click **Start**. Output streams into the run's dataset.
4. Export from **Storage → Dataset** as JSON, CSV, or Excel — or fetch via the API.

### 📥 Input

| Field | Type | Required | Default | Notes |
|---|---|:--:|---|---|
| `categoryPaths` | `array` | yes | `["herrenschuhe-sneaker", "damenschuhe-stiefel"]` | One or more Zalando.de category path segments. Not a keyword search — Zalando's own `/catalog/?q=` search endpoint returns a 404. |
| `maxPagesPerCategory` | `integer` | no | 2 | Pages to fetch per category (`?p=1..N`). Stops early once a page parses to zero products. |
| `maxResultsPerCategory` | `integer` | no | 100 | Hard cap on dataset rows emitted per category. |
| `proxyConfiguration` | `object` | no | `{"useApifyProxy": true, "apifyProxyCountry": "DE"}` | Apify Proxy spec, pinned to Germany by default. |

#### Example input

```json
{
  "categoryPaths": ["herrenschuhe-sneaker", "damenschuhe-stiefel"],
  "maxPagesPerCategory": 2,
  "maxResultsPerCategory": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyCountry": "DE"
  }
}
```

### 📤 Output

Every row is one dataset item.

| Field | Type | Notes |
|---|---|---|
| `sku` | `string` | Zalando article SKU (style + colour code). |
| `name` | `string` | Product name as listed. |
| `brand` | `['string', 'null']` | Brand name, e.g. Nike Sportswear. |
| `silhouette` | `['string', 'null']` | Product silhouette / type, e.g. SNEAKER, BOOTS, ANKLE\_BOOTS. |
| `gender` | `['string', 'null']` | Target navigation group, e.g. MEN, WOMEN, KIDS. |
| `price_amount` | `['number', 'null']` | Original listed price as a decimal amount. |
| `price_currency` | `['string', 'null']` | ISO-4217 currency code, e.g. EUR. |
| `condition` | `['string', 'null']` | Item condition when the product is not new. |
| `product_url` | `string` | Absolute URL to the product detail page. |
| `image_url` | `['string', 'null']` | Primary product image URL (large packshot). |
| `available_sizes` | `array` | Size labels currently listed for this product. |
| `product_flags` | `array` | Merchandising flags shown on the card, e.g. 'Top bewertet'. |
| `category_path` | `string` | Which category path this row was scraped from. |
| `page` | `integer` | Which category page (`?p=`) this row was scraped from. |
| `scraped_at` | `string` | ISO timestamp when this row was recorded. |

#### Example output

```json
{
  "sku": "NI112P06V-M11",
  "name": "AIR FORCE 1 07 - Trainers - barely grey/city grey/bomber grey/speed yellow",
  "brand": "Nike Sportswear",
  "silhouette": "SNEAKER",
  "gender": "MEN",
  "price_amount": 119.95,
  "price_currency": "EUR",
  "condition": null,
  "product_url": "https://www.zalando.de/nike-sportswear-air-force-1-07-sneaker-low-....html",
  "image_url": "https://img01.ztat.net/article/.../....jpg?imwidth=500&filter=packshot",
  "available_sizes": ["38", "39", "40", "41", "42"],
  "product_flags": ["Top bewertet"],
  "category_path": "herrenschuhe-sneaker",
  "page": 1,
  "scraped_at": "2026-09-20T12:00:00+00:00"
}
```

### 💰 Pricing

Pay-Per-Event — you pay only when these events fire:

| Event | USD | What it is |
|---|---:|---|
| `actor-start` | $0.20 | One-off warm-up charge per run |
| `item-scraped` | $0.006 | Per product row written to your dataset |

Example: 1 000 results at the rates above ≈ **$6.20**. No subscription, no minimum, no card to start — Apify gives every new account $5 of free credit.

### 🚧 Limitations

This Actor browses Zalando's category pages, not its keyword search — `zalando.de/catalog/?q=` returns a 404 on this site, so there is no free-text search input; supply the category path segments you want instead. v1 covers `www.zalando.de` only (Zalando runs ~20 separate country domains with distinct catalogs). Category pages surface the above-the-fold set of rendered product cards per page; very large categories should be paged with `maxPagesPerCategory`.

### ❓ FAQ

**How do I find a category path?**

Browse to any Zalando.de category (e.g. men's sneakers) and copy the path segment from the URL — `zalando.de/herrenschuhe-sneaker/` becomes `herrenschuhe-sneaker`.

**Why is there no keyword/search input?**

Zalando's own `/catalog/?q=` search endpoint returns a 404 — it is not a working entry point on this site. Category-path browsing is the reliable way to reach listings, so that's what this Actor offers.

**What currency are prices in?**

Whatever Zalando's German storefront lists — almost always EUR, in `price_currency`. `price_amount` is a decimal value (already divided from cents).

**Why did a category return fewer rows than `maxResultsPerCategory`?**

Either the category itself has fewer products than the cap, or pagination stopped early because a page parsed to zero new products — both are normal, successful outcomes.

**Is this a Zalando-sanctioned API?**

No. Zalando publishes no public product-listings API. This Actor scrapes the public website politely with browser TLS impersonation and proxy rotation.

### 💬 Your feedback

Spotted a bug, hit a weird edge case, or need a new field? Open an
issue on the Actor's **Issues** tab on Apify Console — we ship
fixes weekly and we read every report.

***

<div align="center">

Built by **[Devil Scrapes](https://apify.com/DevilScrapes)** 😈 — a small fleet of
opinionated public-data Actors. Honest pricing, real engineering, zero fine print.

</div>

# Changelog

This Actor's version history is a separate document: https://apify.com/devilscrapes/zalando-fashion-listings-scraper/changelog.md

# Actor input Schema

## `categoryPaths` (type: `array`):

One or more Zalando.de category path segments, e.g. <code>herrenschuhe-sneaker</code> or <code>damenschuhe-stiefel</code> (copy the path from the category page's URL, without slashes). This is NOT a keyword search — Zalando's <code>/catalog/?q=</code> search endpoint returns a 404 on this site.

## `maxPagesPerCategory` (type: `integer`):

Pages to fetch per category (<code>?p=1..N</code>). Stops early if a page parses to zero products.

## `maxResultsPerCategory` (type: `integer`):

Hard cap on dataset rows emitted per category.

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

Residential German exits, pinned. A country pin with no group name resolves to the datacenter pack, which is US-only and refuses CONNECT with 407 (cloud QA 2026-09-21). Zalando prices and stocks per country, so the exit country must match the storefront.

## Actor input object example

```json
{
  "categoryPaths": [
    "herrenschuhe-sneaker",
    "damenschuhe-stiefel"
  ],
  "maxPagesPerCategory": 2,
  "maxResultsPerCategory": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "DE"
  }
}
```

# Actor output Schema

## `datasetItems` (type: `string`):

All dataset items as JSON.

## `datasetItemsCsv` (type: `string`):

Same data exported to CSV.

## `datasetView` (type: `string`):

Open the run dataset in the Console.

# 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 = {
    "categoryPaths": [
        "herrenschuhe-sneaker",
        "damenschuhe-stiefel"
    ],
    "maxPagesPerCategory": 2,
    "maxResultsPerCategory": 100,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "DE"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("devilscrapes/zalando-fashion-listings-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 = {
    "categoryPaths": [
        "herrenschuhe-sneaker",
        "damenschuhe-stiefel",
    ],
    "maxPagesPerCategory": 2,
    "maxResultsPerCategory": 100,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "DE",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("devilscrapes/zalando-fashion-listings-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 '{
  "categoryPaths": [
    "herrenschuhe-sneaker",
    "damenschuhe-stiefel"
  ],
  "maxPagesPerCategory": 2,
  "maxResultsPerCategory": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "DE"
  }
}' |
apify call devilscrapes/zalando-fashion-listings-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,devilscrapes/zalando-fashion-listings-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/mZq8gTtHvk6HIdKVt/builds/HIbBlPDP1teQtj93g/openapi.json
