# Tsx Learning Academy Detail Scraper (`getdataforme/tsx-learningacademy-detail-cr-scraper`) Actor The Tsx Learning Academy Detail Scraper is an Apify Actor designed for automated data extraction from TSX learning academy web pages. It captures detailed information such as titles, dates, authors, and content descriptions with high accuracy.... - **URL**: https://apify.com/getdataforme/tsx-learningacademy-detail-cr-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Other, Lead generation, Automation - **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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## README.md ### Tsx Learning Academy Detail Scraper #### Introduction The Tsx Learning Academy Detail Scraper is an Apify Actor designed to extract detailed information from specific learning academy web pages on the TSX website. It efficiently gathers data such as titles, dates, authors, categories, images, and content descriptions, providing a comprehensive overview of each page's offerings. #### Features - **Automated Data Extraction**: Seamlessly scrapes structured data from predefined URLs. - **High-Quality Output**: Ensures accurate and reliable data capture for analysis. - **Customizable Input**: Allows users to specify start URLs for targeted scraping. - **Efficient Performance**: Optimized for speed and resource management during extraction. - **Versatile Applications**: Supports various use cases including market research, competitive intelligence, and content aggregation. #### Input Parameters Table | Parameter | Type | Required | Description | Example | |-------------|----------|----------|-------------------------------------------------------|-------------------------------------------------------------------------| | startUrls | array | Yes | URLs to start with for scraping. | `[{"url": "https://tsx.com/en/company-services/learning-academy?id=926"}]` | #### Example Usage ##### Input JSON ```json { "startUrls": [ { "url": "https://tsx.com/en/company-services/learning-academy?id=926" } ] } ```` ##### Output JSON ```json [ { "url": "https://tsx.com/en/company-services/learning-academy?id=926", "title": "Semi-Annual Reporting for Venture Issuers: A New Disclosure Strategy", "date": "April 10, 2026", "author": "TMX Newsfile", "categories": "Disclosure, Investor Relations, Trading", "imageUrl": "https://www.tsx.com/assets/application/img/ugc/learning-academy-event/metal-siding.jpg", "description": "Eligible venture issuers in Canada can now move from quarterly to semi-annual reporting...", "content": "By Melissa Strle, TMX Newsfile Eligible venture issuers in Canada can now move from quarterly to semi-annual reporting...", "relatedArticles": [ "https://www.tsx.com/en/company-services/learning-academy?id=930", "https://www.tsx.com/en/company-services/learning-academy?id=936" ], "scrapedAt": "2026-07-12T10:43:16.622Z" } ] ``` #### Use Cases - **Market Research and Analysis**: Extract detailed information for market insights. - **Competitive Intelligence**: Monitor competitor offerings and strategies. - **Price Monitoring**: Track pricing changes in educational services. - **Content Aggregation**: Compile content from multiple sources for analysis. - **Academic Research**: Gather data for academic studies on financial reporting trends. - **Business Automation**: Automate the collection of relevant business information. #### Installation and Usage 1. Search for "Tsx Learning Academy Detail Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters with your desired start URLs. 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: - **url**: The URL of the scraped page. - **title**: Title of the content on the page. - **date**: Date when the content was published or updated. - **author**: Author of the content. - **categories**: Categories associated with the content. - **imageUrl**: URL of an image related to the content. - **description**: Brief description of the content. - **content**: Full text content extracted from the page. - **relatedArticles**: URLs of related articles or resources. - **scrapedAt**: Timestamp indicating when the data was scraped. #### Error Handling The Actor is designed to handle common scraping errors such as network issues and missing elements. If an error occurs, it logs detailed information for troubleshooting. Users are encouraged to review logs for any anomalies during execution. #### Rate Limiting and Best Practices To ensure optimal performance and avoid being blocked by the target website, adhere to these best practices: - Use a reasonable number of start URLs. - Respect the website's `robots.txt` file. - Implement delays between requests if necessary. - Monitor usage limits and adjust accordingly. #### Limitations and Considerations - The Actor is tailored for specific TSX learning academy pages; other sites may require customization. - Ensure compliance with legal and ethical guidelines when scraping data. - Be aware of potential changes in the website structure that could affect scraping accuracy. ### 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 ## `startUrls` (type: `array`): URLs to start with. ## Actor input object example ```json { "startUrls": [ { "url": "https://tsx.com/en/company-services/learning-academy?id=926" } ] } ``` # 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 = { "startUrls": [ { "url": "https://tsx.com/en/company-services/learning-academy?id=926" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/tsx-learningacademy-detail-cr-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 = { "startUrls": [{ "url": "https://tsx.com/en/company-services/learning-academy?id=926" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/tsx-learningacademy-detail-cr-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 '{ "startUrls": [ { "url": "https://tsx.com/en/company-services/learning-academy?id=926" } ] }' | apify call getdataforme/tsx-learningacademy-detail-cr-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/tsx-learningacademy-detail-cr-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tsx Learning Academy Detail Scraper", "description": "The Tsx Learning Academy Detail Scraper is an Apify Actor designed for automated data extraction from TSX learning academy web pages. It captures detailed information such as titles, dates, authors, and content descriptions with high accuracy....", "version": "0.0", "x-build-id": "vUWqfjg1md6m0RhYX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~tsx-learningacademy-detail-cr-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-tsx-learningacademy-detail-cr-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~tsx-learningacademy-detail-cr-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-tsx-learningacademy-detail-cr-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~tsx-learningacademy-detail-cr-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-tsx-learningacademy-detail-cr-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```