# KREAM Product Scraper (`bovi/kream-scraper`) Actor

Collect KREAM sneaker and fashion product listings by keyword with prices, brands, discounts, engagement counts, and optional product details from public pages.

- **URL**: https://apify.com/bovi/kream-scraper.md
- **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community)
- **Categories:** E-commerce, Automation
- **Stats:** 2 total users, 1 monthly users, 25.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.25 / 1,000 kream product scrapers

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

## KREAM Product Scraper

Collect sneaker and fashion product listings from KREAM (kream.co.kr) by keyword. The Actor reads KREAM's public, server-rendered search pages and extracts the product ID, product URL, brand, displayed product name and price, displayed discount, interest/review/trade counts, quick-delivery label, and product image when present. It does not require a KREAM account. Optional detail extraction reads public Product JSON-LD from each product page for SKU, description, offer, images, availability, condition, and rating fields when KREAM provides them.

### Input

| Name | Type | Default | Description |
| --- | --- | --- | --- |
| `keywords` | string, required | `nike` | Korean or English KREAM search term. |
| `maxResults` | integer | `50` | Maximum records to collect, from 1 to 1,000. |
| `fetchDetails` | boolean | `false` | Open each product page and add fields exposed in its Product JSON-LD. |
| `proxyConfiguration` | object, optional | none | Apify proxy configuration. Omitted or `useApifyProxy: false` means a direct connection. |

### Example output

```json
{
  "id": "12831",
  "url": "https://kream.co.kr/products/12831",
  "brand": "Nike",
  "title": "나이키 에어포스 1 '07 로우 화이트",
  "search_keyword": "nike",
  "price": 99000,
  "currency": "KRW",
  "price_text": "99,000원",
  "discount_percent": 33,
  "wish_count_text": "23.4만",
  "review_count_text": "3.6만",
  "trade_count_text": "80.5만",
  "quick_delivery": true
}
```

The example shows values parsed from a real KREAM search result page. With `fetchDetails` enabled, the product page also supplies its public JSON-LD and server-rendered page data: style code, color, category, localized name, lowest ask, highest bid, latest sale, size options, and up to five rendered rows each for asks, bids, and recent sales. Detail fields are included only when the page contains them. Displayed count strings retain KREAM's abbreviations instead of being converted into estimated totals.

### Pricing

Reference price: **$0.0022 per product result** (the FREE-tier per-result reference in the champion profile). Actual Store pricing is controlled by the listing configuration. The Actor does not call `Actor.charge`; the platform bills pushed dataset items.

### Run

Enter a keyword, choose a result limit, and optionally enable product details. The default run collects up to 50 search cards. Set `maxResults` to 10 for a short sample. Product detail requests are disabled by default to keep runs faster; enable `fetchDetails` when SKU, description, and JSON-LD offer data are needed.

# Actor input Schema

## `keywords` (type: `string`):

Search KREAM products by a Korean or English keyword.

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

Maximum number of product records to collect.

## `fetchDetails` (type: `boolean`):

Also open each product page for SKU, description, offer, and rating data.

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

Optional Apify proxy settings. If omitted or useApifyProxy is false, requests use a direct connection.

## Actor input object example

```json
{
  "keywords": "nike",
  "maxResults": 50,
  "fetchDetails": false
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset containing the collected KREAM product records.

# 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 = {
    "keywords": "nike"
};

// Run the Actor and wait for it to finish
const run = await client.actor("bovi/kream-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 = { "keywords": "nike" }

# Run the Actor and wait for it to finish
run = client.actor("bovi/kream-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 '{
  "keywords": "nike"
}' |
apify call bovi/kream-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bovi/kream-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/8TuEmi8nhFXdqneDJ/builds/W0ou8OuydQe7GD9mN/openapi.json