# ALDI AU Product Search & Catalog (Unofficial) (`dromb/aldi-au-product-search-catalog-unofficial`) Actor Search ALDI Australia products and fetch normalized catalog, item, and category data for discovery and monitoring workflows. - **URL**: https://apify.com/dromb/aldi-au-product-search-catalog-unofficial.md - **Developed by:** [Dmitriy Gyrbu](https://apify.com/dromb) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 0 monthly users, 50.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.03 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## ALDI AU Product Search & Catalog (Unofficial) Search products from ALDI Australia and fetch normalized catalog data for search, categories, and item pages. This is an unofficial actor and is not affiliated with ALDI. ### Supported operations - `search` - `item` - `categories` - `category` - `search_filters` ### Operation guide The Apify Console form shows the union of all supported fields, so the visible inputs do not change when you switch `operation`. Use the guide below to know which fields are required. - `search` Required: `query` Optional: `page`, `limit`, `sort`, `brand`, `categoryTree`, `theme`, `details`, `includeRaw` - `item` Required: `itemSlug` or `itemId` Optional: `includeRaw` - `categories` Required: none Optional: `includeRaw` - `category` Required: `categoryUrl` or `categoryId` Optional: `page`, `sort`, `includeRaw` - `search_filters` Required: none Optional: `includeRaw` ### Example inputs ```json { "operation": "search", "query": "milk", "page": 1, "limit": 20, "includeRaw": false } ```` ```json { "operation": "categories", "includeRaw": false } ``` ```json { "operation": "item", "itemSlug": "haribo-mega-roulette-45g-000000000000173130", "includeRaw": false } ``` ```json { "operation": "category", "categoryUrl": "https://www.aldi.com.au/products/fruits-vegetables/k/950000000", "page": 1, "includeRaw": false } ``` ### Output - Dataset: normalized products or structured category rows - Key-value store `OUTPUT`: run summary with `source`, `operation`, `success`, `total`, `errors`, `proxy`, and `monetization` ### Notes - `page` is one-based for ALDI operations. - `details=true` can increase runtime and request volume. - Default proxy strategy is `direct`. - The runtime is prepared for future pay-per-event monetization. # Actor input Schema ## `operation` (type: `string`): Actor operation to execute. The Console form shows all possible fields at once, so check the README for the exact required inputs for each operation. ## `query` (type: `string`): Required for `search`. Search phrase. ## `itemId` (type: `string`): Optional for `item`. Use `itemId` or `itemSlug`. ## `itemSlug` (type: `string`): Optional for `item`. Use `itemSlug` or `itemId`. ## `categoryId` (type: `string`): Optional for `category`. Use `categoryId` or `categoryUrl`. ## `categoryUrl` (type: `string`): Optional for `category`. Use `categoryUrl` or `categoryId`. ## `page` (type: `integer`): Optional for `search` and `category`. One-based page index. ## `limit` (type: `integer`): Optional for `search`. Maximum number of search results to keep. ## `sort` (type: `string`): Optional for `search` and `category`. Default is `relevance`. ## `brand` (type: `string`): Optional for `search`. ALDI brand filter. ## `categoryTree` (type: `string`): Optional for `search`. ALDI categoryTree filter. ## `theme` (type: `string`): Optional for `search`. ALDI theme filter. ## `details` (type: `boolean`): Optional for `search`. Enrich results by opening item detail pages. ## `includeRaw` (type: `boolean`): Optional for any operation. Include the unnormalized source payload in the OUTPUT summary. ## Actor input object example ```json { "operation": "search", "query": "milk", "page": 1, "limit": 20, "sort": "relevance", "details": false, "includeRaw": false } ``` # Actor output Schema ## `results` (type: `string`): Normalized dataset items returned by the actor. ## `summary` (type: `string`): Run summary JSON stored under the OUTPUT key. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("dromb/aldi-au-product-search-catalog-unofficial").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 = {} # Run the Actor and wait for it to finish run = client.actor("dromb/aldi-au-product-search-catalog-unofficial").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 '{}' | apify call dromb/aldi-au-product-search-catalog-unofficial --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dromb/aldi-au-product-search-catalog-unofficial", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ALDI AU Product Search & Catalog (Unofficial)", "description": "Search ALDI Australia products and fetch normalized catalog, item, and category data for discovery and monitoring workflows.", "version": "0.0", "x-build-id": "wfsBB72z1aOPklYf6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dromb~aldi-au-product-search-catalog-unofficial/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dromb-aldi-au-product-search-catalog-unofficial", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dromb~aldi-au-product-search-catalog-unofficial/runs": { "post": { "operationId": "runs-sync-dromb-aldi-au-product-search-catalog-unofficial", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dromb~aldi-au-product-search-catalog-unofficial/run-sync": { "post": { "operationId": "run-sync-dromb-aldi-au-product-search-catalog-unofficial", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "operation" ], "properties": { "operation": { "title": "Operation", "enum": [ "search", "item", "categories", "category", "search_filters" ], "type": "string", "description": "Actor operation to execute. The Console form shows all possible fields at once, so check the README for the exact required inputs for each operation.", "default": "search" }, "query": { "title": "Query", "type": "string", "description": "Required for `search`. Search phrase.", "default": "milk" }, "itemId": { "title": "Item Slug Alias", "type": "string", "description": "Optional for `item`. Use `itemId` or `itemSlug`." }, "itemSlug": { "title": "Item Slug", "type": "string", "description": "Optional for `item`. Use `itemSlug` or `itemId`." }, "categoryId": { "title": "Category URL Alias", "type": "string", "description": "Optional for `category`. Use `categoryId` or `categoryUrl`." }, "categoryUrl": { "title": "Category URL", "type": "string", "description": "Optional for `category`. Use `categoryUrl` or `categoryId`." }, "page": { "title": "Page", "type": "integer", "description": "Optional for `search` and `category`. One-based page index.", "default": 1 }, "limit": { "title": "Limit", "type": "integer", "description": "Optional for `search`. Maximum number of search results to keep.", "default": 20 }, "sort": { "title": "Sort", "type": "string", "description": "Optional for `search` and `category`. Default is `relevance`.", "default": "relevance" }, "brand": { "title": "Brand", "type": "string", "description": "Optional for `search`. ALDI brand filter." }, "categoryTree": { "title": "Category Tree", "type": "string", "description": "Optional for `search`. ALDI categoryTree filter." }, "theme": { "title": "Theme", "type": "string", "description": "Optional for `search`. ALDI theme filter." }, "details": { "title": "Fetch Details", "type": "boolean", "description": "Optional for `search`. Enrich results by opening item detail pages.", "default": false }, "includeRaw": { "title": "Include Raw Payload", "type": "boolean", "description": "Optional for any operation. Include the unnormalized source payload in the OUTPUT summary.", "default": false } } }, "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 } } } } } } } } } } ```