# Brusnika LMS (`brusnika-lms/brusnika-lms`) Actor Automate your Brusnika LMS: extract course completions, enroll users, and send notifications via the Brusnika LMS API. - **URL**: https://apify.com/brusnika-lms/brusnika-lms.md - **Developed by:** [Brusnika LMS](https://apify.com/brusnika-lms) (community) - **Categories:** Other, Integrations, AI - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Brusnika LMS Automate your [Brusnika.LMS](https://brusnika-lms.com/) workflows: extract course completion data, enroll users in courses, and send notifications — all from Apify. ### What does this Actor do? This Actor connects to your Brusnika LMS instance via the REST API and lets you: - **Get Course Completions** — fetch a list of users who completed courses, with scores, dates, and statuses. Supports incremental runs via the `since` parameter. - **Enroll User in Course** — programmatically enroll any LMS user into a specific course. - **Send Notification** — send an in-LMS notification to any user. ### Use cases - **Data pipelines** — export course completion data to Google Sheets, a database, or a BI tool on a schedule. - **HR automation** — enroll new employees (from your HRIS) into onboarding courses automatically. - **Reporting** — pull weekly training completion stats for your team dashboards. - **Alerts** — trigger notifications to users based on external events. ### Prerequisites 1. A running Brusnika LMS instance. 2. An API token — generate it in **LMS Settings → Integrations → API**. ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `apiToken` | string | ✅ | Your Brusnika LMS API token | | `lmsUrl` | string | ✅ | Base URL of your LMS instance (e.g. `https://sa.eu.brusnika-apps.com`) | | `action` | enum | ✅ | `GET_COMPLETIONS` / `ENROLL_USER` / `SEND_NOTIFICATION` | | `since` | string | — | ISO 8601 date — fetch completions after this date (GET_COMPLETIONS only) | | `userId` | string | — | LMS user ID (required for ENROLL_USER and SEND_NOTIFICATION) | | `courseId` | string | — | LMS course ID (required for ENROLL_USER) | | `notificationText` | string | — | Message text (required for SEND_NOTIFICATION) | ### Output Results are saved to the default Apify **Dataset** and displayed in a table view. For `GET_COMPLETIONS`, each item includes: ```json { "id": "rec_001", "user_id": "u_123", "course_id": "c_456", "course_name": "Onboarding 2024", "result": "95", "status": "completed", "completed_at": "2024-06-01T10:30:00Z" } ```` ### Support - Website: [brusnika-lms.com](https://brusnika-lms.com/) - Email: info@brusnika-solutions.com # Actor input Schema ## `apiToken` (type: `string`): Your Brusnika LMS API token. Generate it in LMS Settings → Integrations → API. ## `lmsUrl` (type: `string`): Base URL of your Brusnika LMS instance. ## `action` (type: `string`): Operation to perform. ## `since` (type: `string`): Fetch completions after this date (ISO 8601, e.g. 2024-01-01T00:00:00Z). Only used for GET\_COMPLETIONS. ## `userId` (type: `string`): LMS user ID. Required for ENROLL\_USER and SEND\_NOTIFICATION. ## `courseId` (type: `string`): LMS course ID. Required for ENROLL\_USER. ## `notificationText` (type: `string`): Message to send to the user. Required for SEND\_NOTIFICATION. ## Actor input object example ```json { "lmsUrl": "https://sa.eu.brusnika-apps.com", "action": "GET_COMPLETIONS" } ``` # 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("brusnika-lms/brusnika-lms").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/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("brusnika-lms/brusnika-lms").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call brusnika-lms/brusnika-lms --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=brusnika-lms/brusnika-lms", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Brusnika LMS", "description": "Automate your Brusnika LMS: extract course completions, enroll users, and send notifications via the Brusnika LMS API.", "version": "0.1", "x-build-id": "sMMxPuEJKbsd3z3xl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/brusnika-lms~brusnika-lms/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-brusnika-lms-brusnika-lms", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/brusnika-lms~brusnika-lms/runs": { "post": { "operationId": "runs-sync-brusnika-lms-brusnika-lms", "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/brusnika-lms~brusnika-lms/run-sync": { "post": { "operationId": "run-sync-brusnika-lms-brusnika-lms", "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": [ "apiToken", "lmsUrl", "action" ], "properties": { "apiToken": { "title": "API Token", "type": "string", "description": "Your Brusnika LMS API token. Generate it in LMS Settings → Integrations → API." }, "lmsUrl": { "title": "LMS URL", "type": "string", "description": "Base URL of your Brusnika LMS instance.", "default": "https://sa.eu.brusnika-apps.com" }, "action": { "title": "Action", "enum": [ "GET_COMPLETIONS", "ENROLL_USER", "SEND_NOTIFICATION" ], "type": "string", "description": "Operation to perform.", "default": "GET_COMPLETIONS" }, "since": { "title": "Since (date)", "type": "string", "description": "Fetch completions after this date (ISO 8601, e.g. 2024-01-01T00:00:00Z). Only used for GET_COMPLETIONS." }, "userId": { "title": "User ID", "type": "string", "description": "LMS user ID. Required for ENROLL_USER and SEND_NOTIFICATION." }, "courseId": { "title": "Course ID", "type": "string", "description": "LMS course ID. Required for ENROLL_USER." }, "notificationText": { "title": "Notification Text", "type": "string", "description": "Message to send to the user. Required for SEND_NOTIFICATION." } } }, "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 } } } } } } } } } } ```