# Kohl's Product Scraper (`moving_beacon-owner1/kohl-s-product-scraper`) Actor

Scrapes Kohl’s products by keyword, returning product names, web IDs, URLs, and optionally SKU, brand, price, availability, ratings, and review counts.

- **URL**: https://apify.com/moving\_beacon-owner1/kohl-s-product-scraper.md
- **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.99 / 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?

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

## Kohl's Product Scraper

Collects products from Kohl's (kohls.com) and returns one record per product with its web id, name and page URL. You can filter by a keyword and optionally enrich each product with sku, brand, price, availability and rating from its product page.

### Input

| Field | Default | Description |
|---|---|---|
| `search_term` | `""` | Keyword to match against product names (e.g. `jeans`, `coffee maker`). Empty returns the first products found. |
| `limit` | `20` | Max products to return (1–500). |
| `fetch_details` | `false` | Also fetch each product page to add sku, brand, price, availability and rating. |
| Proxy configuration | US proxy on | Optional. Enable a US-based proxy for the most reliable results. |

### Output

Each result is a flat record describing one product:

```json
{
    "web_id": "prd-5172",
    "name": "Levis 550 Relaxed Fit Jeans Men",
    "url": "https://www.kohls.com/product/prd-5172/levis-550-relaxed-fit-jeans-men.jsp",
    "source": "sitemap",
    "sku": "5172",
    "brand": "Levi's",
    "price": "59.99",
    "currency": "USD",
    "availability": "https://schema.org/InStock",
    "rating": "4.4",
    "review_count": 812
}
```

The `sku`, `brand`, `price`, `currency`, `availability`, `rating` and `review_count` fields are added only when `fetch_details` is enabled.

### Notes

- Runs with empty input and returns products right away.
- Enable a US-based proxy for the most reliable results, especially when using `fetch_details`.
- Intended for research and personal use; respect kohls.com's Terms of Service and use light request rates.

# Actor input Schema

## `search_term` (type: `string`):

Optional keyword to filter products by name (matched against the product URL slug tokens, e.g. 'jeans' or 'coffee maker'). Leave empty to return the first products found in the sitemap.

## `limit` (type: `integer`):

Maximum number of product records to return.

## `fetch_details` (type: `boolean`):

Also fetch each product page to extract sku, brand, price, availability and rating from JSON-LD. Product pages are Akamai-gated from datacenter IPs (returns \_pdp\_status 403); enable residential proxies on Apify for this to populate.

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

Proxy settings for the run. Enable a US-based proxy for the most reliable results, especially for sites that limit non-US or datacenter traffic. Optional — leave off to run directly.

## Actor input object example

```json
{
  "search_term": "jeans",
  "limit": 20,
  "fetch_details": false,
  "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 = {
    "search_term": "jeans",
    "limit": 20,
    "fetch_details": false,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("moving_beacon-owner1/kohl-s-product-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 = {
    "search_term": "jeans",
    "limit": 20,
    "fetch_details": False,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("moving_beacon-owner1/kohl-s-product-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 '{
  "search_term": "jeans",
  "limit": 20,
  "fetch_details": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call moving_beacon-owner1/kohl-s-product-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,moving_beacon-owner1/kohl-s-product-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/zYY5whg1Tu86UvJ00/builds/waUe1WEqVJinqhcDs/openapi.json