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....

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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

{
  "Date": "2026-04-12"
}

Output Example

[
  {
    "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!