# NZ Product Recall Alert Monitor (`k0nkupa/nz-product-recall-alert-monitor`) Actor Aggregates public New Zealand product, food, vehicle, and safety recall notices into normalized alert rows for compliance and retail monitoring. - **URL**: https://apify.com/k0nkupa/nz-product-recall-alert-monitor.md - **Developed by:** [Tony Le](https://apify.com/k0nkupa) (community) - **Categories:** Other, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 recall alert rows 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/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 ## NZ Product Recall Alert Monitor Aggregates public New Zealand product, food, vehicle, and safety recall notices into normalized alert rows for compliance and retail monitoring. ### What it does This actor scans public recall listing pages, follows candidate recall and safety alert links, and emits ranked recall notice rows with affected product, agency, risk type, evidence, and capture time. Default discovery sources: - https://www.mpi.govt.nz/food-safety-home/food-recalls-and-complaints/recalled-food-products/ - https://www.productsafety.govt.nz/recalls/ Detected signals include recall, recalled, safety alert, affected product, risk, hazard, food recall, and vehicle recall. ### Input ```json { "sourceUrls": [ "https://www.mpi.govt.nz/food-safety-home/food-recalls-and-complaints/recalled-food-products/", "https://www.productsafety.govt.nz/recalls/" ], "useDefaultSources": true, "categories": ["food", "consumer product", "vehicle"], "maxItems": 250 } ```` - `sourceUrls`: Optional public recall listing pages to scan. If supplied, default sources are not mixed in. - `useDefaultSources`: Uses built-in MPI and Product Safety NZ sources when `sourceUrls` is empty. - `categories`: Optional recall category hints retained for run configuration and future filtering. - `maxItems`: Maximum number of ranked recall rows. ### Output Rows are pushed to the default dataset. ```json { "recordType": "recallNotice", "sourceUrl": "https://www.productsafety.govt.nz/recalls/electric-heater-safety-alert", "title": "Electric heater safety alert", "recallDate": "2026-06-30", "agency": "Product Safety NZ", "affectedProduct": "Compact electric heater", "riskType": "fire", "confidence": 0.9, "evidenceText": "Electric heater safety alert. Product Safety NZ recall notice. Affected product: Compact electric heater. Hazard: fire and injury risk.", "capturedAt": "2026-07-08T00:00:00.000Z" } ``` ### Limitations The actor uses public HTML link discovery and text extraction. Sites requiring login, JavaScript-only rendering, CAPTCHA, or non-public APIs are outside the current scope. Agency, affected product, and risk type extraction are evidence-based heuristics and should be reviewed for compliance workflows. ### Local run ```bash npm install npm test npx --yes apify-cli validate-schema apify run ``` Do not publish without an explicit deployment approval gate. # Actor input Schema ## `categories` (type: `array`): Optional recall categories of interest. Discovery currently uses these for run configuration and future filtering. ## `sourceUrls` (type: `array`): Optional public recall listing pages to scan. When supplied, default sources are not mixed in. ## `useDefaultSources` (type: `boolean`): Use built-in MPI and Product Safety NZ discovery sources when Source URLs is empty. ## `maxItems` (type: `integer`): Maximum number of recall rows to emit after ranking. ## Actor input object example ```json { "categories": [ "food", "consumer product", "vehicle" ], "sourceUrls": [], "useDefaultSources": true, "maxItems": 250 } ``` # 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 '' 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("k0nkupa/nz-product-recall-alert-monitor").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("k0nkupa/nz-product-recall-alert-monitor").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 k0nkupa/nz-product-recall-alert-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=k0nkupa/nz-product-recall-alert-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NZ Product Recall Alert Monitor", "description": "Aggregates public New Zealand product, food, vehicle, and safety recall notices into normalized alert rows for compliance and retail monitoring.", "version": "0.1", "x-build-id": "cN4kCyDrZ1ndqZSQG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/k0nkupa~nz-product-recall-alert-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-k0nkupa-nz-product-recall-alert-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/k0nkupa~nz-product-recall-alert-monitor/runs": { "post": { "operationId": "runs-sync-k0nkupa-nz-product-recall-alert-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/k0nkupa~nz-product-recall-alert-monitor/run-sync": { "post": { "operationId": "run-sync-k0nkupa-nz-product-recall-alert-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "categories": { "title": "Recall categories", "type": "array", "description": "Optional recall categories of interest. Discovery currently uses these for run configuration and future filtering.", "default": [ "food", "consumer product", "vehicle" ], "items": { "type": "string" } }, "sourceUrls": { "title": "Source URLs", "type": "array", "description": "Optional public recall listing pages to scan. When supplied, default sources are not mixed in.", "default": [], "items": { "type": "string" } }, "useDefaultSources": { "title": "Use default sources", "type": "boolean", "description": "Use built-in MPI and Product Safety NZ discovery sources when Source URLs is empty.", "default": true }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of recall rows to emit after ranking.", "default": 250 } } }, "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 } } } } } } } } } } ```