# Tmx Reviews Suspension Spider (`getdataforme/tmx-reviews-suspension-spider`) Actor The TSX Reviews Suspension Spider scrapes detailed delisting reviews and suspensions from the official TSX website, delivering structured data on companies, review types, periods, and contacts.... - **URL**: https://apify.com/getdataforme/tmx-reviews-suspension-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, NaN 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 ### Description The TSX Reviews Suspension Spider scrapes detailed delisting reviews and suspensions from the official TSX website, delivering structured data on companies, review types, periods, and contacts.... --- ## TSX Reviews Suspension Spider The TSX Reviews Suspension Spider is a powerful Apify Actor designed to scrape and extract detailed information about TSX (Toronto Stock Exchange) delisting reviews and suspensions from the official TSX website. It provides structured data on companies under review, including review types, periods, and contact details, enabling users to monitor market compliance and trading suspensions efficiently. This tool is essential for financial analysts, investors, and researchers seeking timely and accurate insights into TSX-listed securities. ### Features - **Comprehensive Data Extraction**: Scrapes detailed delisting review information, including company names, tickers, review types, and extension periods. - **Flexible Date Filtering**: Supports absolute dates (e.g., YYYY-MM-DD) or relative periods (e.g., "30 days") for targeted data retrieval. - **High Reliability**: Built with robust error handling to ensure consistent data quality from the TSX website. - **Structured JSON Output**: Delivers clean, machine-readable data with fields like issuer details, securities, and TSX contacts. - **Fast and Scalable**: Optimized for quick runs, handling multiple reviews per execution without performance bottlenecks. - **No API Keys Required**: Directly accesses public TSX pages, eliminating the need for authentication or paid subscriptions. - **Customizable and Extensible**: Easily integrates with other Apify tools for automated workflows in financial data pipelines. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Date | string | No | The date for the spider, supporting absolute dates (YYYY-MM-DD) or relative periods (e.g., "30 days", "1 week"). Used to filter reviews by publish date. | "2026-04-12" or "30 days" | ### Example Usage #### Input Configuration ```json { "Date": "2026-04-12" } ```` #### Output Example ```json [ { "date": "February 17, 2026", "review_type": "TSX Delisting Review", "company_name": "Prairie Provident Resources Inc.", "ticker": "PPR", "detail_url": "https://www.tsx.com/en/news/reviews-and-suspensions?id=799", "full_text": "TSX Delisting Review - Prairie Provident Resources Inc.\u00a0(PPR)", "publish_date": "February 17, 2026", "issuer": "Prairie Provident Resources Inc. (the \"Company\")", "securities": "Common Shares", "symbols": "PPR", "delisting_review_type": "Remedial", "delisting_review_period": "TSX has decided to extend its review of the eligibility of the Common Shares of the Company for continued listing for a period of 60 days.", "tsx_contact": "Anne Child, Managing Director, TSX Listings", "actor_id": "wSPhrxkmxVfqwJuSo", "run_id": "9Sgzun6d3PAXZJIhc" }, { "date": "January 12, 2026", "review_type": "TSX Delisting Review", "company_name": "Else Nutrition Holdings Inc.", "ticker": "BABY, BABY.WT.A", "detail_url": "https://www.tsx.com/en/news/reviews-and-suspensions?id=794", "full_text": "TSX Delisting Review - Else Nutrition Holdings Inc.\u00a0(BABY, BABY.WT.A)", "publish_date": "January 12, 2026", "issuer": "Else Nutrition Holdings Inc. (the \"Company\")", "securities": "Common Shares Warrants \u00a0 (the \"Securities\")", "symbols": "BABY BABY.WT.A", "delisting_review_type": "Remedial", "delisting_review_period": "TSX has decided to further extend its review of the eligibility of the Securities of the Company for continued listing for a period of 90 days.", "tsx_contact": "Anne Child, Managing Director, TSX Listings", "actor_id": "wSPhrxkmxVfqwJuSo", "run_id": "9Sgzun6d3PAXZJIhc" }, { "date": "January 22, 2026", "review_type": "TSX Delisting Review", "company_name": "Lucara Diamond Corp.", "ticker": "LUC", "detail_url": "https://www.tsx.com/en/news/reviews-and-suspensions?id=797", "full_text": "TSX Delisting Review - Lucara Diamond Corp.\u00a0(LUC)", "publish_date": "January 22, 2026", "issuer": "Lucara Diamond Corp.", "securities": "Common Shares", "symbols": "LUC", "delisting_review_type": "Remedial", "delisting_review_period": "120 days to regain compliance with continued listing requirements.", "tsx_contact": "Anne Child, Managing Director, TSX Listings", "actor_id": "wSPhrxkmxVfqwJuSo", "run_id": "9Sgzun6d3PAXZJIhc" } ] ``` ### Use Cases - **Market Research and Analysis**: Track delisting trends to identify sectors at risk and inform investment strategies. - **Competitive Intelligence**: Monitor competitors' compliance status and potential market exits. - **Price Monitoring**: Correlate review announcements with stock price movements for predictive analytics. - **Content Aggregation**: Build databases of TSX reviews for newsletters, reports, or dashboards. - **Academic Research**: Study regulatory impacts on Canadian public companies. - **Business Automation**: Automate alerts for new reviews to streamline risk management workflows. ### Installation and Usage 1. Search for "TSX Reviews Suspension Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 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 Actor outputs a JSON array of objects, each representing a delisting review. Key fields include: - `date`: The review date. - `review_type`: Type of review (e.g., "TSX Delisting Review"). - `company_name`: Name of the company. - `ticker`: Stock symbols. - `detail_url`: Link to the full TSX announcement. - `full_text`: Summary text of the review. - `publish_date`: Publication date. - `issuer`: Official issuer name. - `securities`: Types of securities involved. - `symbols`: Trading symbols. - `delisting_review_type`: Review category (e.g., "Remedial"). - `delisting_review_period`: Details on the review extension or period. - `tsx_contact`: TSX contact information. - `actor_id` and `run_id`: Metadata for the Apify run. This structured format ensures easy integration with data analysis tools. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `Date` (type: `string`): The date for the spider. ## Actor input object example ```json { "Date": "2026-04-12" } ``` # 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/tmx-reviews-suspension-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/tmx-reviews-suspension-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/tmx-reviews-suspension-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/tmx-reviews-suspension-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tmx Reviews Suspension Spider", "description": "The TSX Reviews Suspension Spider scrapes detailed delisting reviews and suspensions from the official TSX website, delivering structured data on companies, review types, periods, and contacts....", "version": "0.0", "x-build-id": "GSZHEGIveQbFeKJcs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~tmx-reviews-suspension-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-tmx-reviews-suspension-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~tmx-reviews-suspension-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-tmx-reviews-suspension-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~tmx-reviews-suspension-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-tmx-reviews-suspension-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Date": { "title": "Date", "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$|^(\\d+)\\s*(day|week|month|year)s?$", "type": "string", "description": "The date for the spider.", "default": "2026-04-12" } } }, "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 } } } } } } } } } } ```