# Target Australia Scraper – Products, Prices & Reviews (`abotapi/target-au-scraper`) Actor Scrape products and customer reviews from Target.com.au. Search by keyword or use product/category URLs with sorting and filters. Returns name, brand, price, OnePass price, ratings, review text and stats, colours, sizes, images, category, stock, and variations. - **URL**: https://apify.com/abotapi/target-au-scraper.md - **Developed by:** [Abot API](https://apify.com/abotapi) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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. 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 ## Target Australia Scraper Extract products and customer reviews from **target.com.au** — Australia's Target department store. Search by keyword or paste product, category, and search URLs. Every product comes back as one flat record with pricing, images, category, stock, variations, and (optionally) full ratings and reviews. ### What you get - **Product identity** — name, brand, product id, product URL, category path - **Pricing** — current price, was-price, OnePass price, on-sale flag, currency - **Details** — description, feature list, care instructions - **Merchandising** — colour, size/colour variants, images, stock, exclusivity flags - **Ratings & reviews** (optional) — average rating, review count, rating distribution, recommended count, and each review's author, rating, title, body, date, verified-purchase flag, helpfulness, and sub-ratings ### Modes **Search mode** — provide one or more keywords and, optionally, a brand, colour, size, price range, and a sort order (relevance, latest, rating, price, brand). **URL mode** — paste any mix of: - product URLs — `https://www.target.com.au/p//` - category URLs — `https://www.target.com.au/c//` - search URLs — `https://www.target.com.au/search?text=` Both modes walk pages forward until the result set or your `Max products` cap is reached. ### Example input ```json { "mode": "search", "searchTerms": ["linen shirt"], "sortBy": "price-asc", "maxItems": 50, "fetchReviews": true, "maxReviews": 20 } ```` ### Example output > The record below is illustrative sample data. ```json { "kind": "product", "id": "W1234567890", "name": "Sample Linen Long Sleeve Shirt", "url": "https://www.target.com.au/p/sample-linen-long-sleeve-shirt/12345678", "brand": "Sample Brand", "price": 45.0, "wasPrice": 60.0, "onePassPrice": null, "currency": "AUD", "onSale": true, "clearance": false, "description": "A lightweight, breathable everyday shirt.", "features": ["Regular fit", "Button-through front", "Curved hemline"], "careInstructions": ["Warm delicate machine wash", "Do not bleach"], "category": "Clothing & Accessories > Clothing > Shirts & Tops", "topLevelCategory": "Women", "colour": "White", "inStock": true, "onlineDate": "2026-05-24", "image": "https://assets.target.com.au/transform/00000000-0000-0000-0000-000000000000/sample_1", "images": [ "https://assets.target.com.au/transform/00000000-0000-0000-0000-000000000000/sample_1", "https://assets.target.com.au/transform/11111111-1111-1111-1111-111111111111/sample_2" ], "variations": [ { "colour": "White", "size": "10", "price": 45.0, "inStock": true } ], "averageRating": 4.8, "reviewCount": 18, "ratingDistribution": { "5": 15, "4": 3 }, "recommendedCount": 17, "reviewsCollected": 2, "reviews": [ { "id": "100000001", "rating": 5, "title": "Great everyday shirt", "body": "Comfortable and true to size.", "author": "Sample Reviewer", "location": "Victoria", "date": "2026-03-19T12:18:09.000+00:00", "verifiedPurchase": true, "isRecommended": true, "helpfulCount": 3, "subRatings": { "Quality": 5, "Value For Money": 5 } } ] } ``` ### Ratings & reviews Turn on **Fetch ratings and reviews** to attach ratings and reviews to each product. Products with no reviews leave the rating and review fields absent (they are never faked). Review photos and videos are intentionally not included. ### Filters & sorting - **Sort:** relevance, latest, rating, price (low→high / high→low), brand - **Filters:** brand, colour, size (exact facet values), and a price range ### Connection Runs on Apify Proxy — the default automatic pool is enough. Target Australia serves its home market, so residential Australian exits are used automatically as a reliability fallback if needed. ### Export to your apps (optional) Pipe results straight into Notion, Linear, Airtable, or Apify via Model Context Protocol (MCP) connectors. Authorize a connector under **Settings → API & Integrations**, then select it in the input. This is a side-channel; it never changes the dataset. ### Notes - Prices are in AUD. - One dataset row per product; reviews are nested under each product. - Use `Max products` and `Max pages per search` to bound a run. # 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. shirt, towel, kids toys. ## `sortBy` (type: `string`): Order of results within each search. ## `brand` (type: `string`): Filter to one brand (exact facet value, e.g. Target Woman). ## `colour` (type: `string`): Filter to one colour (exact facet value, e.g. White). ## `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 target.com.au. Multi-URL supported. Filter fields still apply. ## `fetchReviews` (type: `boolean`): Attach ratings, review stats and individual reviews to each product (detail enrichment). ## `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 or category. ## `proxy` (type: `object`): Apify Proxy configuration. The default automatic (datacenter) pool works well; residential is used only as a reliability fallback. ## `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": [ "shirt" ], "sortBy": "relevance", "urls": [ "https://www.target.com.au/search?text=shirt" ], "fetchReviews": true, "maxReviews": 20, "maxItems": 20, "maxPages": 100, "proxy": { "useApifyProxy": true }, "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": [ "shirt" ], "urls": [ "https://www.target.com.au/search?text=shirt" ], "proxy": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("abotapi/target-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": ["shirt"], "urls": ["https://www.target.com.au/search?text=shirt"], "proxy": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("abotapi/target-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": [ "shirt" ], "urls": [ "https://www.target.com.au/search?text=shirt" ], "proxy": { "useApifyProxy": true } }' | apify call abotapi/target-au-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=abotapi/target-au-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Target Australia Scraper – Products, Prices & Reviews", "description": "Scrape products and customer reviews from Target.com.au. Search by keyword or use product/category URLs with sorting and filters. Returns name, brand, price, OnePass price, ratings, review text and stats, colours, sizes, images, category, stock, and variations.", "version": "1.0", "x-build-id": "Vo42iLx8E2k73gkwL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/abotapi~target-au-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-abotapi-target-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/abotapi~target-au-scraper/runs": { "post": { "operationId": "runs-sync-abotapi-target-au-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/abotapi~target-au-scraper/run-sync": { "post": { "operationId": "run-sync-abotapi-target-au-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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. shirt, towel, kids toys.", "items": { "type": "string" } }, "sortBy": { "title": "Sort by", "enum": [ "relevance", "newest", "rating", "price-asc", "price-desc", "brand" ], "type": "string", "description": "Order of results within each search.", "default": "relevance" }, "brand": { "title": "Brand", "type": "string", "description": "Filter to one brand (exact facet value, e.g. Target Woman)." }, "colour": { "title": "Colour", "type": "string", "description": "Filter to one colour (exact facet value, e.g. White)." }, "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 target.com.au. Multi-URL supported. Filter fields still apply.", "items": { "type": "string" } }, "fetchReviews": { "title": "Fetch ratings and reviews", "type": "boolean", "description": "Attach ratings, review stats and individual reviews to each product (detail enrichment).", "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 or category.", "default": 100 }, "proxy": { "title": "Proxy", "type": "object", "description": "Apify Proxy configuration. The default automatic (datacenter) pool works well; residential is used only as a reliability fallback.", "default": { "useApifyProxy": true } }, "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 } } } } } } } } } } ```