# ABOUT YOU Search Scraper (`apt_marble/about-you-search-scraper`) Actor

Search ABOUT YOU products by keyword and get prices, brands, images and stock flags.

- **URL**: https://apify.com/apt_marble/about-you-search-scraper.md
- **Developed by:** [Hamza](https://apify.com/apt_marble) (community)
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.50 / 1,000 product 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

## ABOUT YOU Search Scraper

Search the ABOUT YOU fashion store by keyword and get clean product data: image, title, brand, price, currency and sold-out / new flags. Add optional filters for brand, category and price range, and choose how results are sorted.

### What you can do

- Search any keyword, for example `nike air max`, or paste an ABOUT YOU search link from aboutyou.com or aboutyou.de.
- Narrow results to one brand or category by ID or by link (aboutyou.com and aboutyou.de links both work).
- Filter by minimum and maximum price in EUR.
- Sort by relevance, newest, or price.
- Pagination is automatic. Set the maximum number of products and the actor collects pages until it reaches it.

### Input

```json
{
    "query": "nike air max",
    "maxResults": 40,
    "brand": "https://www.aboutyou.com/b/shop/hugo-3083",
    "category": "https://www.aboutyou.com/c/women/clothing/pants-20257",
    "minPrice": 20,
    "maxPrice": 120,
    "sortBy": "price-low-high"
}
```

Only `query` is needed. `brand`, `category`, `minPrice`, `maxPrice` and `sortBy` are optional.

### Output

Each product is one row. The product image is the first column.

```json
{
    "image": "https://cdn.aboutstatic.com/file/a8734ef6f1bd38df7ac0839ca0d6964b.jpg",
    "id": 32490443,
    "title": "Sneaker 'AIR LIQUID MAX'",
    "brand": "Nike Sportswear",
    "price": 219,
    "maxPrice": 219,
    "currency": "EUR",
    "isSoldOut": false,
    "isNew": true,
    "scrapedAt": "2026-10-14T22:19:58.705Z"
}
```

Each row also contains a `details` object with the other public product fields (attributes, images, price range, dates).

Prices are in euros from the German ABOUT YOU store. `price` is the lowest price across variants and `maxPrice` the highest.

### Good to know

- A wrong search link, brand or category ends the run as Succeeded with a message that includes a working example.
- A search with no matches ends as Succeeded with an empty dataset and a hint.
- If the store is temporarily unavailable, products already collected are kept and the run still ends as Succeeded with a partial-results message.
- The run summary is saved under the `SUMMARY` key in the key-value store.

# Actor input Schema

## `query` (type: `string`):

A search word such as nike air max, or an ABOUT YOU search link from aboutyou.com or aboutyou.de.

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

Maximum number of products to save. Pages are loaded automatically.

## `brand` (type: `string`):

Only show products of one brand. Accepts an ID such as 3083 or a link such as https://www.aboutyou.com/b/shop/hugo-3083 (aboutyou.com or aboutyou.de).

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

Only show products of one category. Accepts an ID such as 20257 or a link such as https://www.aboutyou.com/c/women/clothing/pants-20257 (aboutyou.com or aboutyou.de).

## `minPrice` (type: `number`):

Only products priced at or above this amount. Example: 20.

## `maxPrice` (type: `number`):

Only products priced at or below this amount. Example: 120.

## `sortBy` (type: `string`):

Order of the results.

## Actor input object example

```json
{
  "query": "nike air max",
  "maxResults": 40,
  "sortBy": "relevance"
}
```

# Actor output Schema

## `products` (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 = {
    "query": "nike air max",
    "maxResults": 40,
    "sortBy": "relevance"
};

// Run the Actor and wait for it to finish
const run = await client.actor("apt_marble/about-you-search-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 = {
    "query": "nike air max",
    "maxResults": 40,
    "sortBy": "relevance",
}

# Run the Actor and wait for it to finish
run = client.actor("apt_marble/about-you-search-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 '{
  "query": "nike air max",
  "maxResults": 40,
  "sortBy": "relevance"
}' |
apify call apt_marble/about-you-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,apt_marble/about-you-search-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/eiEaWmaRRtnvwVyoa/builds/c9DAvGEQYDzhMjsmt/openapi.json