# 🚀 Kmart Reviews Scraper · 10,000 Free Reviews/Month (`omkar-cloud/kmart-reviews-scraper`) Actor

Kmart Reviews Scraper gets you Kmart reviews ⚡ fast, 🎯 100% accurate and 🔍 ridiculously detailed — full text, star rating, photos, helpful votes & star breakdown for any Kmart product. 💰 $0.50 per 1,000 reviews, no start fee. Scrape your first 10,000 reviews free every month 🚀

- **URL**: https://apify.com/omkar-cloud/kmart-reviews-scraper.md
- **Developed by:** [Omkar Cloud](https://apify.com/omkar-cloud) (community)
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 reviews

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

## Kmart Reviews Scraper

Kmart Reviews Scraper by Omkar Cloud gets you ⚡ fast, 🎯 accurate, 🔍 detailed Kmart Australia product reviews.

Full review text, star rating, photos, helpful votes, verified-buyer flags and each product's star breakdown — so you can mine customer feedback, track product quality, compare ranges or feed sentiment analysis, and successfully complete your project.

**$0.50 per 1,000 reviews.** And with Apify's free plan you get $5 of credit every month, so your first **10,000 reviews each month are free**.

This is an excellent Actor made by Omkar Cloud, which is Rated Excellent — [4.7 based on 37 reviews on Trustpilot](https://www.trustpilot.com/review/omkar.cloud).

👉 [**Try Kmart Reviews Scraper free**](https://apify.com/omkar-cloud/kmart-reviews-scraper) — your first 10,000 reviews are Free.

### What can I get

- ⭐ **Every review of a product** — full text, title, star rating, date and author
- 📸 **Customer photos** — every photo a reviewer attached
- 👍 **Helpful votes & trust signals** — votes up and down, verified buyer, incentivized flag, sentiment score
- 📊 **Star breakdown** — each product's average, review count, 1-to-5 star distribution and Value / Quality ratings
- 🔍 **Reviews by keyword** — search Kmart and read the reviews of the top products

### Why Kmart Reviews Scraper

Most other Kmart review scrapers fail you in one of four ways:

- 🗄️ **Inaccurate, cached, stale data**
- 🧩 **Low-detail data** — text and stars, never the photos, votes or star breakdown
- 💸 **Pay more to get the same data** — up to $9 per 1,000 reviews elsewhere
- 🪦 **Works today, breaks next month** — nobody maintains it

Kmart Reviews Scraper gets you fresh, detailed data, is priced honestly, and actively maintained.

### What data you get

| Data | Fields |
|---|---|
| **Review** | `review_id`, `title`, `text`, `rating`, `date`, `language` |
| **Reviewer** | `author_name`, `author_id`, `is_verified_buyer`, `is_incentivized`, `incentive_type` |
| **Engagement** | `votes_up`, `votes_down`, `sentiment`, `ratings_breakdown` (Value, Quality) |
| **Photos** | `images`, `image_count` |
| **Kmart's reply** | `reply_text`, `reply_date` |
| **Product** | `product_id`, `product_name`, `product_brand`, `product_link`, `product_image` |
| **Product summary** | `product_rating`, `product_review_count`, `product_stars_5` … `product_stars_1`, `product_ratings_breakdown` |

### Example: A Kmart Review

```json
{
  "source_input": "42725411",
  "product_id": "42725411",
  "product_name": "2400W Bagless Vacuum",
  "product_brand": "Anko",
  "product_link": "https://www.kmart.com.au/product/2400w-bagless-vacuum-42725411/",
  "product_rating": 4.63,
  "product_review_count": 1131,
  "product_stars_5": 867,
  "product_stars_4": 168,
  "product_stars_3": 50,
  "product_stars_2": 29,
  "product_stars_1": 17,
  "product_ratings_breakdown": [{ "name": "Value", "rating": 5 }, { "name": "Quality", "rating": 5 }],
  "review_id": 891066465,
  "title": "Cheap but effective",
  "text": "Great value for money Bought for holiday Apartment and as good as much more expensive vacuums",
  "rating": 5,
  "date": "2026-09-16T14:01:14Z",
  "author_name": "Barry E.",
  "is_verified_buyer": true,
  "votes_up": 6,
  "votes_down": 0,
  "sentiment": 0.72302514,
  "ratings_breakdown": [{ "name": "Value", "rating": 5 }, { "name": "Quality", "rating": 4 }],
  "images": ["https://cdn-yotpo-images-production.yotpo.com/Review/891066465/892080347/original.jpg?1789567296"],
  "image_count": 1,
  "reply_text": null,
  "language": "en"
}
```

*Trimmed for readability. Every row is flat, so it exports cleanly to CSV and Excel.*

### Get Started with 10,000 Free Reviews

1. [Hit **Try for Free Button**](https://apify.com/omkar-cloud/kmart-reviews-scraper) — the input is pre-filled with the 2400W Bagless Vacuum, Kmart's most-reviewed product (1,100+ reviews).
2. Enjoy your data 😎.

### Input examples

**Every review of one product, most helpful first**

```json
{
    "products": ["42725411"],
    "sort": "helpful",
    "maxReviewsPerProduct": 2000
}
```

**1-star reviews of several products (links or keycodes)**

```json
{
    "products": [
        "https://www.kmart.com.au/product/2400w-bagless-vacuum-42725411/",
        "43624447"
    ],
    "rating": "1",
    "maxReviewsPerProduct": 500
}
```

**Reviews of the top 10 air fryers, with customer photos first**

```json
{
    "searchQueries": ["air fryer"],
    "maxProductsPerSearch": 10,
    "sort": "images",
    "maxReviewsPerProduct": 100
}
```

| Input | What it does |
|---|---|
| `products` | Kmart keycodes or kmart.com.au product links |
| `searchQueries` | Also read the reviews of each search's top products (the search is free) |
| `maxProductsPerSearch` | How many top products per search (default 10) |
| `sort` | `newest`, `oldest`, `helpful`, `highest`, `lowest` or `images` (photos first) |
| `rating` | Only reviews with this star rating (1–5) |
| `maxReviewsPerProduct` | Cap per product (default 100) |

### Pricing

High value, Low price.

| What | Price |
|---|---|
| **Reviews** | **$0.50 per 1,000** |

No start fee — you pay only for the reviews you get. Products found by a search are free; products without written reviews cost nothing.

**Cost examples**

| Run | Reviews | Cost |
|---|---|---|
| Every review of the 2400W Bagless Vacuum | 1,131 | $0.57 |
| 100 reviews each of the top 10 air fryers | up to 1,000 | up to $0.50 |
| 10,000 reviews | 10,000 | $5.00 |

💡 Apify's free plan includes $5 of credit every month — **10,000 free reviews, every month**.

👉 [**Scrape your first 10,000 reviews free**](https://apify.com/omkar-cloud/kmart-reviews-scraper)

### Run It from Code

Grab your API token from [Integrations Settings here](https://console.apify.com/settings/integrations) and replace `<YOUR_API_TOKEN>` below.

**Python** (`pip install apify-client`)

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("omkar-cloud/kmart-reviews-scraper").call(run_input={
    "products": ["42725411"],
    "maxReviewsPerProduct": 100,
})
for review in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(review["rating"], review["title"], review["text"])
```

**Node.js** (`npm install apify-client`)

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('omkar-cloud/kmart-reviews-scraper').call({
    searchQueries: ['air fryer'],
    maxReviewsPerProduct: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

### FAQs

#### Which products have reviews?

Kmart's own range (8-digit keycodes such as `42725411`). Marketplace items and most style groups (keycodes starting with `S`) carry a star rating but no written reviews on Kmart — they return no rows and cost nothing.

#### Where do I find a keycode?

It is the number at the end of every Kmart product link: `kmart.com.au/product/2400w-bagless-vacuum-42725411/` → `42725411`. You can also paste the whole link.

#### Can I get the product details too?

Yes — use [Kmart Scraper](https://apify.com/omkar-cloud/kmart-scraper) for prices, stock by state, variants, seller offers and full descriptions.

#### Can I export to CSV or Excel?

Yes. Every row is flat, so the dataset exports to JSON, CSV, Excel or XML with one column per value.

#### Is this an official Kmart product?

No. Kmart Reviews Scraper is an independent tool and is not affiliated with or endorsed by Kmart Australia.

### Popular Actors by Omkar Cloud

- [**Kmart Scraper**](https://apify.com/omkar-cloud/kmart-scraper) — Kmart products, prices, stock by state & variants
- [**Woolworths Reviews Scraper**](https://apify.com/omkar-cloud/woolworths-reviews-scraper) — Woolworths product reviews
- [**Amazon Scraper**](https://apify.com/omkar-cloud/amazon-scraper) — Amazon products, prices, ratings & full details
- [**Website Email Contact Scraper**](https://apify.com/omkar-cloud/website-email-contact-scraper) — emails, phones & socials from any website

### 💬 Have Questions? We Have Answers.

[![Message Us on WhatsApp](https://raw.githubusercontent.com/omkarcloud/assets/master/images/whatsapp-us.png)](https://www.omkar.cloud/l/kmart-scraper-apify-whatsapp)
[![Ask Us on Email](https://raw.githubusercontent.com/omkarcloud/assets/master/images/ask-on-email.png)](mailto:happy.to.help@omkar.cloud?subject=Help%20with%20Kmart%20Reviews%20Scraper%20Actor\&body=I%20need%20help%20with%20using%20the%20Kmart%20Reviews%20Scraper%20Actor.)
You are important to us — just message us and we will solve your problem ✅ within 1 working day. 🩷 Pinky Promise 🤙!

# Actor input Schema

## `products` (type: `array`):

Kmart keycodes (42725411) or kmart.com.au product links. Rows carry `source_input` so you can tell products apart.

## `searchQueries` (type: `array`):

Also read the reviews of the top products of these Kmart searches. The search itself is free — you pay only for the reviews.

## `maxProductsPerSearch` (type: `integer`):

How many of each search's top products to read reviews of.

## `sort` (type: `string`):

Order of each product's reviews. With photos first puts reviews with customer photos on top.

## `rating` (type: `string`):

Only reviews with this star rating.

## `maxReviewsPerProduct` (type: `integer`):

Stop each product after this many reviews.

## Actor input object example

```json
{
  "products": [
    "42725411"
  ],
  "searchQueries": [
    "air fryer"
  ],
  "maxProductsPerSearch": 10,
  "sort": "newest",
  "rating": "",
  "maxReviewsPerProduct": 100
}
```

# Actor output Schema

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

Every row with every field.

## `overview` (type: `string`):

Stars, title, full text, author, date, verified buyer, helpful votes and photos of every review.

## `products` (type: `string`):

Average rating, review count and star distribution of every reviewed product.

# 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 = {
    "products": [
        "42725411"
    ],
    "maxReviewsPerProduct": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("omkar-cloud/kmart-reviews-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 = {
    "products": ["42725411"],
    "maxReviewsPerProduct": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("omkar-cloud/kmart-reviews-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 '{
  "products": [
    "42725411"
  ],
  "maxReviewsPerProduct": 100
}' |
apify call omkar-cloud/kmart-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,omkar-cloud/kmart-reviews-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/4Crx3zjZyD68Fv4ll/builds/JGYvs4zCMrUeoLCtt/openapi.json