# New Yorker Scraper — German Youth Fashion Prices & Stock (`studio-amba/newyorker-scraper`) Actor

Scrape product data from newyorker.de, the German youth-fashion chain with stores across Europe. Extract names, brands, prices, sale status, colors, sizes, and images via New Yorker's own product API.

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

## Pricing

from $1.20 / 1,000 result scrapeds

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?

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

## New Yorker Scraper

Pull product data from newyorker.de, the German youth-fashion chain with stores across roughly 40 European countries. This scraper pulls directly from New Yorker's own product API, so it returns clean, structured data -- brand, price, sale status, color, sizes, images -- without any HTML parsing or browser rendering.

### How to scrape New Yorker data

Pick a gender (women or men) and, optionally, a category in German -- `"Jeans"`, `"Kleider"`, `"Sweatshirts"`, `"Schuhe"` for women; `"Hemden"`, `"T-Shirts"`, `"Denim"`, `"Jacken"` for men. The actor matches your category against New Yorker's own live category tree and pulls every product underneath it.

Under the hood, New Yorker's storefront calls an unauthenticated JSON API at `api.newyorker.de` to render every product grid on the site. This actor talks to that same API directly instead of rendering the page and parsing HTML, which makes it faster and far less likely to break when New Yorker tweaks its frontend markup.

New Yorker's catalogue is filter-based, not keyword-search -- there's no on-site search box behind this API. If you leave `category` blank, the actor browses the full assortment for the gender you picked. If you don't provide any input at all, it defaults to women's jeans as a demo.

### Input

| Field | Type | Description |
|-------|------|-------------|
| `gender` | string | `"FEMALE"` or `"MALE"` -- which collection to browse (default: `"FEMALE"`) |
| `category` | string | Category in German, e.g. `"Jeans"`, `"Kleider"`, `"Sweatshirts"`, `"Hosen"`, `"Schuhe"` for women, `"Hemden"`, `"T-Shirts"`, `"Denim"`, `"Jacken"` for men. Matched loosely against New Yorker's own category names. Leave blank to browse the full gender assortment |
| `onlySale` | boolean | Only return products currently marked down (default: `false`) |
| `maxResults` | integer | Cap on number of products returned (default: 100) |
| `proxyConfiguration` | object | Apify proxy settings. New Yorker's product API has no anti-bot protection, so the default Apify proxy is sufficient -- no residential proxy needed |

### What you get back

| Field | Type | Example |
|-------|------|---------|
| `name` | string | `"Schlaghose"` |
| `brand` | string | `"FB Sister"` |
| `gender` | string | `"FEMALE"` |
| `price` | number | null | `29.99` |
| `originalPrice` | number | null | `44.99` (only set when the item is discounted) |
| `currency` | string | `"EUR"` |
| `onSale` | boolean | `true` |
| `newIn` | boolean | `false` |
| `colorName` | string | null | `"Original Helles Blau"` |
| `colorGroup` | string | null | `"Helles Blau"` |
| `variantCount` | integer | `5` (how many colors this product is available in) |
| `productId` | string | `"02.02.032.0829"` |
| `variantId` | string | `"001"` |
| `inStock` | boolean | null | Always `null` -- New Yorker's public API doesn't expose stock data |
| `url` | string | Full product page URL |
| `imageUrl` | string | Primary product image |
| `imageUrls` | array | All product images for the selected color |
| `category` | string | null | New Yorker's internal category code, e.g. `"WCA03051"` |
| `categoryGroup` | string | null | Human-readable category, e.g. `"Jeans"` |
| `sizes` | array | Sizes offered: `[{"size": "M", "barCode": "0382990224904011"}]` |
| `scrapedAt` | string | ISO timestamp |

### Sample output

```json
{
  "name": "Schlaghose",
  "brand": "FB Sister",
  "gender": "FEMALE",
  "price": 29.99,
  "originalPrice": null,
  "currency": "EUR",
  "onSale": false,
  "newIn": false,
  "colorName": "Original Helles Blau",
  "colorGroup": "Helles Blau",
  "variantCount": 5,
  "productId": "02.02.032.0829",
  "variantId": "001",
  "inStock": null,
  "url": "https://www.newyorker.de/products/detail/02.02.032.0829/001",
  "imageUrl": "https://api.newyorker.de/csp/images/image/public/c2e1ccdca412853ca869a2d0789faaff.jpg",
  "imageUrls": [
    "https://api.newyorker.de/csp/images/image/public/c2e1ccdca412853ca869a2d0789faaff.jpg",
    "https://api.newyorker.de/csp/images/image/public/ce896166e3655a37e3d175eb469fc364.jpg"
  ],
  "category": "WCA03051",
  "categoryGroup": "Jeans",
  "sizes": [
    { "size": "S", "barCode": "0382990224903014" },
    { "size": "M", "barCode": "0382990224904011" },
    { "size": "L", "barCode": "0382990224905018" }
  ],
  "scrapedAt": "2026-08-24T14:11:20.496Z"
}
```

### Use cases

- **Price monitoring** -- track New Yorker's own price and discount changes on the styles you sell against.
- **Sale tracking** -- set `onlySale: true` to pull only currently-reduced items, useful for spotting markdown cadence.
- **Assortment research** -- see which of New Yorker's house brands (Amisu, Censored, Fishbone, Smog, Black Squad) are pushed in which categories, and at what price points.
- **Market comparison** -- New Yorker's youth/streetwear positioning makes it a useful reference point when benchmarking fast-fashion pricing across the German market.

### Coverage

v1 covers the German storefront (`newyorker.de`, country `de`). New Yorker operates the same product API across roughly 40 European markets (visible in the API's own country lists per brand/product), so other locales are a straightforward parameter change and may follow in a later version.

### Performance and cost

The scraper hits New Yorker's JSON API directly -- no browser rendering, no HTML parsing -- so it's fast. A run of 100 products typically completes in well under 10 seconds and uses a fraction of a compute unit. You're billed per actor start plus per result scraped; check the current per-event pricing on this actor's page before running at scale. Your run's usage cost only settles after the run reports SUCCEEDED -- checking cost mid-run will undercount it.

### Limitations

- German locale only in v1 (`country=de`). Other New Yorker-operated country sites aren't covered yet.
- No free-text search -- New Yorker's own product API is filter-based (gender + category tree), not keyword search. `category` is matched against New Yorker's live category group names, not an arbitrary search term.
- Stock levels and per-size availability aren't exposed by the product API, so `inStock` is always `null` and `sizes` lists names only, no counts.
- Ratings and review counts aren't exposed by the API, so they're not included in the output.
- Each product can have several color variants; this actor returns one representative variant per product (matching New Yorker's own on-site selection logic: on-sale first when `onlySale` is set, then new-in, then highlighted, then primary), not every color as a separate row.

### Related scrapers

If you're covering German fashion retail more broadly, also check out:

- [Deichmann Scraper](https://apify.com/studio-amba/deichmann-scraper) -- German footwear, Europe's largest shoe retailer
- [Intersport Scraper](https://apify.com/studio-amba/intersport-scraper) -- German sporting goods and athletic wear
- [Douglas Scraper](https://apify.com/studio-amba/douglas-de-scraper) -- German beauty and lifestyle retail
- [Mytheresa Scraper](https://apify.com/studio-amba/mytheresa-scraper) -- German luxury fashion e-commerce

### Support

Found an issue or need a different locale covered? Open an issue on this actor's Apify Store page and we'll take a look.

# Actor input Schema

## `gender` (type: `string`):

Which New Yorker collection to browse

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

Category to browse, in German (e.g. "Jeans", "Kleider", "Sweatshirts", "Hosen", "Schuhe" for women; "Hemden", "T-Shirts", "Denim", "Jacken" for men). Matched loosely against New Yorker's own category names -- leave blank to browse the full gender assortment.

## `onlySale` (type: `boolean`):

Only return products that are currently reduced

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

Maximum number of products to scrape

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

Apify proxy configuration. New Yorker's product API has no anti-bot protection (verified live), so the default Apify proxy is sufficient.

## Actor input object example

```json
{
  "gender": "FEMALE",
  "category": "Jeans",
  "onlySale": false,
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (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 = {
    "gender": "FEMALE",
    "category": "Jeans",
    "maxResults": 100,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("studio-amba/newyorker-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 = {
    "gender": "FEMALE",
    "category": "Jeans",
    "maxResults": 100,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("studio-amba/newyorker-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 '{
  "gender": "FEMALE",
  "category": "Jeans",
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call studio-amba/newyorker-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,studio-amba/newyorker-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/SRUnikyG8IGRJ7YaH/builds/dmLEh3to3AOXBHJDi/openapi.json