# Wordmadeeasy Tutorialinfo Parser Spider (`getdataforme/wordmadeeasy-tutorialinfo-parser-spider`) Actor The Wordmadeeasy Tutorialinfo Parser Spider is a web scraping tool that extracts detailed information from Word Made Easy tutorials, capturing data like titles, descriptions, and author details.... - **URL**: https://apify.com/getdataforme/wordmadeeasy-tutorialinfo-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results 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 --- ## Wordmadeeasy Tutorialinfo Parser Spider ### Introduction The Wordmadeeasy Tutorialinfo Parser Spider is a specialized web scraping tool designed to extract detailed information from Word Made Easy tutorials. This Apify Actor efficiently gathers data such as tutorial titles, descriptions, author details, and more, providing valuable insights for content analysis and aggregation. ### Features - **Comprehensive Data Extraction**: Captures essential elements like tutorial titles, thumbnails, and author bios. - **High-Quality Data**: Ensures reliable and accurate information retrieval from Word Made Easy tutorials. - **Customizable Input Parameters**: Allows users to specify URLs and set item limits for tailored scraping needs. - **Efficient Performance**: Optimized for speed and resource management during data extraction processes. - **User-Friendly Configuration**: Simple setup with intuitive input options for ease of use. ### Input Parameters Table | Parameter | Type | Required | Description | Example | |---------------|---------|----------|-----------------------------------------------------------------------------|----------------------------------------------| | TutorialUrls | array | Yes | The tutorial URLs for the spider. | `["https://wordmadeeasy.org/tutorial1"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "TutorialUrls": [ "https://wordmadeeasy.org/microsoft-word/insert-a-word-counter-in-word/", "https://wordmadeeasy.org/microsoft-powerpoint/how-to-create-a-word-scramble-game-in-powerpoint/" ], "item_limit": 5 } ```` #### Output JSON ```json [ { "tutorial_title": "How to Create a Word Scramble Game in PowerPoint", "thumbnail": "https://wordmadeeasy.org/wp-content/uploads/2026/01/how-to-create-a-word-scramble-game-in-powerpoint.png", "description": "Word scramble game in PowerPoint built from scratch. Learn 10 easy steps with timer animations, sound effects, and a free template download.", "about_author": "I’m Patrick Elliott, the creator of Word Made Easy. I’m an educator and Inclusion Lead, and I use Microsoft Word and PowerPoint daily for planning, documentation, and classroom resources. Every guide is tested step-by-step before publishing (usually in Microsoft 365). You’ll also find practical walkthroughs on my YouTube channel.", "author_image": "https://wordmadeeasy.org/wp-content/uploads/2026/01/patrick-elliott-holding-a-dog-outdoors.jpg", "actor_id": "l8UUZvpbBizJp1wuU", "run_id": "u4wvmqz3RkTJwu7ld" } ] ``` ### Use Cases - **Market Research and Analysis**: Extract tutorial data for competitive analysis. - **Content Aggregation**: Compile educational content from Word Made Easy into a single dataset. - **Academic Research**: Gather information on digital literacy tools for study purposes. - **Business Automation**: Automate the collection of instructional content for internal training resources. - **Competitive Intelligence**: Monitor and analyze competitor tutorial offerings. ### Installation and Usage 1. Search for "Wordmadeeasy Tutorialinfo Parser Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The output is a JSON array containing objects with the following fields: - `tutorial_title`: The title of the tutorial. - `thumbnail`: URL of the thumbnail image for the tutorial. - `description`: A brief description of the tutorial content. - `about_author`: Information about the author, including their role and expertise. - `author_image`: URL of the author's profile picture. - `actor_id`: Unique identifier for the actor run. - `run_id`: Unique identifier for the specific execution. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Contact Us](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! # Actor input Schema ## `TutorialUrls` (type: `array`): The tutorial urls for the spider. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "TutorialUrls": [ "https://wordmadeeasy.org/microsoft-word/insert-a-word-counter-in-word/", "https://wordmadeeasy.org/microsoft-powerpoint/how-to-create-a-word-scramble-game-in-powerpoint/", "https://wordmadeeasy.org/microsoft-word/how-to-use-dictation-in-word/" ], "item_limit": 10 } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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("getdataforme/wordmadeeasy-tutorialinfo-parser-spider").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("getdataforme/wordmadeeasy-tutorialinfo-parser-spider").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 getdataforme/wordmadeeasy-tutorialinfo-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/wordmadeeasy-tutorialinfo-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wordmadeeasy Tutorialinfo Parser Spider", "description": "The Wordmadeeasy Tutorialinfo Parser Spider is a web scraping tool that extracts detailed information from Word Made Easy tutorials, capturing data like titles, descriptions, and author details....", "version": "0.0", "x-build-id": "m7WRweF6g299eyzhJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~wordmadeeasy-tutorialinfo-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-wordmadeeasy-tutorialinfo-parser-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~wordmadeeasy-tutorialinfo-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-wordmadeeasy-tutorialinfo-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~wordmadeeasy-tutorialinfo-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-wordmadeeasy-tutorialinfo-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "TutorialUrls": { "title": "Tutorial Urls", "minItems": 1, "type": "array", "description": "The tutorial urls for the spider.", "default": [ "https://wordmadeeasy.org/microsoft-word/insert-a-word-counter-in-word/", "https://wordmadeeasy.org/microsoft-powerpoint/how-to-create-a-word-scramble-game-in-powerpoint/", "https://wordmadeeasy.org/microsoft-word/how-to-use-dictation-in-word/" ], "items": { "type": "string" } }, "item_limit": { "title": "Item limit", "minimum": 0, "type": "integer", "description": "Maximum items to scrape per actor run. Set to 0 for no limit.", "default": 10 } } }, "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 } } } } } } } } } } ```