# Kmart Australia Scraper – Products, Prices & Reviews (`abotapi/kmart-au-scraper`) Actor Scrape products and customer reviews from Kmart.com.au. Search by keyword or use product/category URLs with sorting and filters. Returns name, brand, price, promo price, ratings, review text and stats, colours, sizes, images, seller, category, stock, and variations. - **URL**: https://apify.com/abotapi/kmart-au-scraper.md - **Developed by:** [Abot API](https://apify.com/abotapi) (community) - **Categories:** E-commerce, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 products 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/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## Kmart Australia Scraper Collect product listings and customer reviews from kmart.com.au. Search by keyword, browse a specials collection, or paste links, then get a clean, flat record per product: name, canonical title, brand, current price with the was/original price and discount (amount and percent), star rating, full per-review text with stats, colours, sizes, images, seller, category, stock flags, and every colour/size variation. Reviews and review statistics attach to each product automatically. ### Why this scraper - Specials and discounts: browse Kmart's Clearance, Catalogue, and Online Exclusives collections, and capture the was/original price, saving amount and percent, and on-special flag on every product that is genuinely reduced. - Products and reviews together: each product carries its rating summary plus individual review text, author, date, helpful votes, and sub-ratings (Value, Quality). - Rich, flat records: 30+ fields per product, including canonical title, was/now pricing, variations, images, and category. - Two ways to start: search by keyword (with an optional specials collection), sorting and filters, or paste product, category, specials, and search URLs. - Filters that narrow results: brand, colour, category, and a price range. - Optional export: pipe results straight into Notion, Linear, Airtable, or Apify via MCP connectors. ### Data you get > Sample shape, values are illustrative placeholders, not from a live listing. | Field | Example | |---|---| | id | `00000001` | | name | `Sample Bath Towel` | | title | `Sample Brand Sample Bath Towel` | | brand | `Sample Brand` | | price | `8.0` | | wasPrice | `12.0` | | savingsAmount | `4.0` | | savingsPercent | `33` | | isOnSpecial | `true` | | promoLabel | `Clearance` | | listPrice | `8.0` | | promoPrice | `12.0` | | currency | `AUD` | | onSale | `false` | | clearance | `true` | | averageRating | `4.6` | | reviewCount | `316` | | colour | `Blue` | | size | `One Size` | | seller | `kmart` | | merchDepartment | `Home` | | primaryCategoryId | `00000` | | inStockNationally | `true` | | url | `https://www.kmart.com.au/product/sample-bath-towel-00000001/` | | image | `https://assets.kmart.com.au/transform/00000000-0000-0000-0000-000000000000/00000001-1` | | images | `["https://assets.kmart.com.au/transform/.../00000001-1", "..."]` | | variations | `[{ "colour": "Blue", "size": "One Size", "price": 12.0, "apn": "0000000000000" }]` | | reviewStats | `{ "totalReviews": 316, "averageScore": 4.58, "starDistribution": { "5": 222, "4": 64 } }` | | reviews | `[{ "rating": 5, "title": "Sample title", "content": "Sample review text.", "author": "Sample R.", "createdAt": "2026-01-01T00:00:00.000Z", "verifiedBuyer": true }]` | ### How to use Search for a keyword: ```json { "mode": "search", "searchTerms": ["towel"], "maxItems": 20 } ```` Search with sorting and filters: ```json { "mode": "search", "searchTerms": ["towel"], "sortBy": "price-asc", "brand": "Anko", "minPrice": 5, "maxPrice": 30, "maxItems": 25 } ``` Browse a specials collection (Clearance, Catalogue, or Online Exclusives): ```json { "mode": "search", "specialsCategory": "clearance", "maxItems": 50 } ``` Discounted products carry `wasPrice`, `savingsAmount`, `savingsPercent` and `isOnSpecial`. Kmart runs an everyday-low-price model, so a was/original price is shown only when an item is genuinely reduced; otherwise those fields are `null` and `isOnSpecial` reflects clearance status. You can also reach a collection in URL mode by pasting its page URL, e.g. `https://www.kmart.com.au/category/online-exclusives/`. Search multiple keywords with reviews: ```json { "mode": "search", "searchTerms": ["air fryer", "mug"], "fetchReviews": true, "maxReviews": 20, "maxItems": 40 } ``` Paste URLs: ```json { "mode": "url", "urls": [ "https://www.kmart.com.au/search/?searchTerm=towel", "https://www.kmart.com.au/product/sample-bath-towel-00000001/" ], "maxItems": 30 } ``` ### Input parameters | Parameter | Type | Default | Description | |---|---|---|---| | mode | string | `search` | `search` for keywords, `url` for pasted links. | | searchTerms | array | `["towel"]` | Keywords to search (search mode). | | specialsCategory | string | | Optional specials collection: `clearance`, `catalogue`, or `online-exclusives`. | | sortBy | string | `relevance` | relevance, popular, newest, price-asc, price-desc. | | brand | string | | Keep only this brand (exact facet value). | | colour | string | | Keep only this colour (exact facet value). | | category | string | | Keep only this category (exact facet value). | | minPrice | integer | | Keep products at or above this price. | | maxPrice | integer | | Keep products at or below this price. | | urls | array | | Product, category, or search URLs (url mode). | | fetchReviews | boolean | `true` | Attach reviews and review stats to each product. | | maxReviews | integer | `20` | Cap on reviews per product. `0` disables reviews. | | maxItems | integer | `20` | Total products to return. `0` = unlimited. | | maxPages | integer | `100` | Safety cap on pages walked per search. | | proxy | object | Residential AU | Connection configuration. | | mcpConnectors | array | | Optional MCP connectors to export results into. | | notionParentPageUrl | string | | Notion parent page for the Notion connector. | | maxNotifyListings | integer | `50` | Cap on items exported per connector. | ### Send results into your apps (MCP connectors) Optionally forward results into the apps you already use. Authorize a connector under Apify then Settings then Integrations, select it in the `mcpConnectors` input, and set `notionParentPageUrl` for Notion. Each item is written as a condensed, human-readable summary (a title plus key fields), not the full JSON; nested objects collapse to their main value and arrays trim to a few names. The complete record always stays in the Apify dataset. ### Output example > Sample shape, values are illustrative placeholders, not from a live listing. ```json { "kind": "product", "id": "00000001", "name": "Sample Bath Towel", "title": "Sample Brand Sample Bath Towel", "url": "https://www.kmart.com.au/product/sample-bath-towel-00000001/", "brand": "Sample Brand", "apn": "0000000000000", "price": 8.0, "listPrice": 8.0, "promoPrice": 12.0, "wasPrice": 12.0, "savingsAmount": 4.0, "savingsPercent": 33, "isOnSpecial": true, "promoLabel": "Clearance", "variantBadges": ["Clearance"], "currency": "AUD", "onSale": false, "clearance": true, "freeShipping": false, "averageRating": 4.6, "reviewCount": 316, "colour": "Blue", "size": "One Size", "seller": "kmart", "merchDepartment": "Home", "inStockNationally": true, "images": ["https://assets.kmart.com.au/transform/00000000-0000-0000-0000-000000000000/00000001-1"], "variations": [ { "colour": "Blue", "size": "One Size", "price": 12.0, "apn": "0000000000000" } ], "reviewStats": { "totalReviews": 316, "averageScore": 4.58, "starDistribution": { "5": 222, "4": 64, "3": 24, "2": 4, "1": 2 }, "subRatings": { "Value": 5.0, "Quality": 4.0 } }, "reviews": [ { "rating": 5, "title": "Sample title", "content": "Sample review text.", "author": "Sample R.", "createdAt": "2026-01-01T00:00:00.000Z", "verifiedBuyer": true, "votesUp": 6, "votesDown": 0, "subRatings": { "Value": 5, "Quality": 5 } } ] } ``` ### Plan requirement For reliable results, run with Apify Residential proxy set to country AU. # Actor input Schema ## `mode` (type: `string`): search = provide search terms and filters. url = paste product, category, or search URLs and walk them. ## `searchTerms` (type: `array`): One or more keywords to search, e.g. towel, air fryer, kids toys. ## `specialsCategory` (type: `string`): Optionally scrape one of Kmart's promotional collections instead of (or alongside) your search terms: Clearance, the current Catalogue, or Online Exclusives. Leave as None to search normally. Was/original price and discount fields are captured on every product when the item is genuinely reduced. ## `sortBy` (type: `string`): Order of results within each search or specials collection. ## `brand` (type: `string`): Filter to one brand (exact facet value, e.g. Anko). ## `colour` (type: `string`): Filter to one colour (exact facet value, e.g. Blue). ## `category` (type: `string`): Filter to one category (exact facet value, e.g. Bath Towel). ## `minPrice` (type: `integer`): Only keep products at or above this price. ## `maxPrice` (type: `integer`): Only keep products at or below this price. ## `urls` (type: `array`): Paste product, category, or search URLs from kmart.com.au. Multi-URL supported. Filter fields still apply. ## `fetchReviews` (type: `boolean`): Attach product reviews and review stats to each product. ## `maxReviews` (type: `integer`): Cap on reviews captured per product. 0 disables reviews. ## `maxItems` (type: `integer`): Total products to return across all searches or URLs. 0 = unlimited. ## `maxPages` (type: `integer`): Safety cap on pages walked per search term. ## `proxy` (type: `object`): Kmart Australia serves its home market. Use Apify Residential proxy with country=AU for reliable results. ## `mcpConnectors` (type: `array`): Optionally send results into the apps you already use, via Model Context Protocol (MCP) connectors. Authorize one under Apify then Settings then API & Integrations, then select it here. Notion gets a page-per-item export; other connectors get a best-effort write. Leave empty to skip. Supported: Notion, Linear, Airtable, Apify. ## `notionParentPageUrl` (type: `string`): URL or id of the Notion page under which item pages are created. Required only for the Notion export. ## `maxNotifyListings` (type: `integer`): Cap on items written to each connector per run. Does not affect the dataset. ## Actor input object example ```json { "mode": "search", "searchTerms": [ "towel" ], "specialsCategory": "", "sortBy": "relevance", "urls": [ "https://www.kmart.com.au/search/?searchTerm=towel" ], "fetchReviews": true, "maxReviews": 20, "maxItems": 20, "maxPages": 100, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "AU" }, "maxNotifyListings": 50 } ``` # Actor output Schema ## `overview` (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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchTerms": [ "towel" ], "urls": [ "https://www.kmart.com.au/search/?searchTerm=towel" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "AU" } }; // Run the Actor and wait for it to finish const run = await client.actor("abotapi/kmart-au-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchTerms": ["towel"], "urls": ["https://www.kmart.com.au/search/?searchTerm=towel"], "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "AU", }, } # Run the Actor and wait for it to finish run = client.actor("abotapi/kmart-au-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchTerms": [ "towel" ], "urls": [ "https://www.kmart.com.au/search/?searchTerm=towel" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "AU" } }' | apify call abotapi/kmart-au-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=abotapi/kmart-au-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Kmart Australia Scraper – Products, Prices & Reviews", "description": "Scrape products and customer reviews from Kmart.com.au. Search by keyword or use product/category URLs with sorting and filters. Returns name, brand, price, promo price, ratings, review text and stats, colours, sizes, images, seller, category, stock, and variations.", "version": "1.0", "x-build-id": "umdQf0x0rhD5tySsR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/abotapi~kmart-au-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-abotapi-kmart-au-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/abotapi~kmart-au-scraper/runs": { "post": { "operationId": "runs-sync-abotapi-kmart-au-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/abotapi~kmart-au-scraper/run-sync": { "post": { "operationId": "run-sync-abotapi-kmart-au-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "url" ], "type": "string", "description": "search = provide search terms and filters. url = paste product, category, or search URLs and walk them.", "default": "search" }, "searchTerms": { "title": "Search terms", "type": "array", "description": "One or more keywords to search, e.g. towel, air fryer, kids toys.", "items": { "type": "string" } }, "specialsCategory": { "title": "Specials / offers collection", "enum": [ "", "clearance", "catalogue", "online-exclusives" ], "type": "string", "description": "Optionally scrape one of Kmart's promotional collections instead of (or alongside) your search terms: Clearance, the current Catalogue, or Online Exclusives. Leave as None to search normally. Was/original price and discount fields are captured on every product when the item is genuinely reduced.", "default": "" }, "sortBy": { "title": "Sort by", "enum": [ "relevance", "popular", "newest", "price-asc", "price-desc" ], "type": "string", "description": "Order of results within each search or specials collection.", "default": "relevance" }, "brand": { "title": "Brand", "type": "string", "description": "Filter to one brand (exact facet value, e.g. Anko)." }, "colour": { "title": "Colour", "type": "string", "description": "Filter to one colour (exact facet value, e.g. Blue)." }, "category": { "title": "Category", "type": "string", "description": "Filter to one category (exact facet value, e.g. Bath Towel)." }, "minPrice": { "title": "Min price (AUD)", "minimum": 0, "type": "integer", "description": "Only keep products at or above this price." }, "maxPrice": { "title": "Max price (AUD)", "minimum": 0, "type": "integer", "description": "Only keep products at or below this price." }, "urls": { "title": "URLs", "type": "array", "description": "Paste product, category, or search URLs from kmart.com.au. Multi-URL supported. Filter fields still apply.", "items": { "type": "string" } }, "fetchReviews": { "title": "Fetch reviews", "type": "boolean", "description": "Attach product reviews and review stats to each product.", "default": true }, "maxReviews": { "title": "Max reviews per product", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Cap on reviews captured per product. 0 disables reviews.", "default": 20 }, "maxItems": { "title": "Max products", "minimum": 0, "type": "integer", "description": "Total products to return across all searches or URLs. 0 = unlimited.", "default": 20 }, "maxPages": { "title": "Max pages per search", "minimum": 1, "maximum": 500, "type": "integer", "description": "Safety cap on pages walked per search term.", "default": 100 }, "proxy": { "title": "Proxy", "type": "object", "description": "Kmart Australia serves its home market. Use Apify Residential proxy with country=AU for reliable results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "AU" } }, "mcpConnectors": { "title": "Pipe results into your apps (optional)", "type": "array", "description": "Optionally send results into the apps you already use, via Model Context Protocol (MCP) connectors. Authorize one under Apify then Settings then API & Integrations, then select it here. Notion gets a page-per-item export; other connectors get a best-effort write. Leave empty to skip. Supported: Notion, Linear, Airtable, Apify." }, "notionParentPageUrl": { "title": "Notion parent page (Notion connector only)", "type": "string", "description": "URL or id of the Notion page under which item pages are created. Required only for the Notion export." }, "maxNotifyListings": { "title": "Max items to export per connector", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Cap on items written to each connector per run. Does not affect the dataset.", "default": 50 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```