📣 TMX New Listings & Suspensions Scraper

Facts-only feed of official TMX exchange events from the public TSX/TSXV news site (https://www.tsx.com/en/news) — no proxy, no anti-bot dependency, no article body stored.

Two event streams, newest first:

• New company listings — every new TSX / TSX Venture listing (IPOs, graduations, ETF/fund launches).
• Reviews & suspensions — TSX/TSXV delisting reviews, trading suspensions, and related status actions (a delisting-risk signal).

Output is one new_listing row per result; billing is pay-per-event, the value event being one listing / status record (a $0.02 start fee per run, then $0.05 per listing / status record). Source: www.tsx.com.

No login, no API key and no CAPTCHA solving are involved: the source is read logged-out.

Use cases

• Lead-gen / IR prospecting on newly public TSX/TSXV issuers.
• Delisting-risk and status-change monitoring on Canadian listings.
• Feeding a watchlist or CRM with fresh exchange events.

📊 Sample Output

Real rows from run kDTpwLDYuXbTnxd8w on build 0.1.14 (2026-09-23), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

name	company	tickers	event_date	headline	canonical_url
Ninepoint Enhanced U.S. Equity HighShares ETF	Ninepoint Enhanced U.S. Equity HighShares ETF	["USHI"]	2026-09-11	Ninepoint Enhanced U.S. Equity HighShares ETF (USHI)	https://www.tsx.com/en/news/new-company-listings?id=2489
Westcourt Hamilton Yield Portfolio ETF	Westcourt Hamilton Yield Portfolio ETF	["WHYP", "WHYP.U"]	2026-09-09	Westcourt Hamilton Yield Portfolio ETF (WHYP, WHYP.U)	https://www.tsx.com/en/news/new-company-listings?id=2488
Corton Rosenberg Global Macro Fund	Corton Rosenberg Global Macro Fund	["ROSY", "ROSY.U"]	2026-09-08	Corton Rosenberg Global Macro Fund (ROSY, ROSY.U)	https://www.tsx.com/en/news/new-company-listings?id=2487
Corton Theta TM Alpha Fund	Corton Theta TM Alpha Fund	["TPUT"]	2026-09-08	Corton Theta TM Alpha Fund (TPUT)	https://www.tsx.com/en/news/new-company-listings?id=2486
Vanguard Global Core-Plus Bond ETF	Vanguard Global Core-Plus Bond ETF	["VCOR"]	2026-09-08	Vanguard Global Core-Plus Bond ETF (VCOR)	https://www.tsx.com/en/news/new-company-listings?id=2485
Avantis CIBC Balanced Asset Allocation ETF	Avantis CIBC Balanced Asset Allocation ETF	["CAKE"]	2026-08-26	Avantis CIBC Balanced Asset Allocation ETF (CAKE)	https://www.tsx.com/en/news/new-company-listings?id=2484
Avantis CIBC Growth Asset Allocation ETF	Avantis CIBC Growth Asset Allocation ETF	["CAGR"]	2026-08-26	Avantis CIBC Growth Asset Allocation ETF (CAGR)	https://www.tsx.com/en/news/new-company-listings?id=2483
Avantis CIBC World Equity ETF	Avantis CIBC World Equity ETF	["CAGX"]	2026-08-26	Avantis CIBC World Equity ETF (CAGX)	https://www.tsx.com/en/news/new-company-listings?id=2482

The run finished with the status message: CAPPED: delivered 10 of at least 246 unique records (maxRecords=10) — a buyer bound, not an outage. record billable=10

✅ What you get

Each row is flat JSON with these fields (from the dataset schema and the sample run; a field the source does not publish for a given row is null):

• record_type (string) — e.g. new_listing
• name (string/null) — e.g. Ninepoint Enhanced U.S. Equity HighShares ETF
• company (string/null) — e.g. Ninepoint Enhanced U.S. Equity HighShares ETF
• exchange (string/null) — null in every sample row
• event_action (string/null) — null in every sample row
• tickers (array/null) — e.g. ["USHI"]
• primary_ticker (string/null) — e.g. USHI
• event_date (string/null) — e.g. 2026-09-11
• tmx_id (string/null) — e.g. 2489
• headline (string/null) — e.g. Ninepoint Enhanced U.S. Equity HighShares ETF (USHI)
• source_url (string/null) — e.g. https://www.tsx.com/en/news/new-company-listings?id=2489
• canonical_url (string/null) — e.g. https://www.tsx.com/en/news/new-company-listings?id=2489
• source (string/null) — e.g. tmx-exchange-news
• observed_at (string/null) — e.g. 2026-09-23T16:20:52Z
• terminal (string/null) — null in every sample row
• pages_read (integer/null) — null in every sample row
• raw_seen (integer/null) — null in every sample row
• duplicates (integer/null) — null in every sample row
• unique_found (integer/null) — null in every sample row
• delivered (integer/null) — null in every sample row

✅ What you get

• record_type (string) — e.g. new_listing
• name (string/null) — e.g. Evolve Global Defense & Aerospace Index ETF
• company (string/null) — e.g. Evolve Global Defense & Aerospace Index ETF
• exchange (string/null) — null in every sample row
• event_action (string/null) — null in every sample row
• tickers (array/null) — e.g. ["CAMO", "CAMO.B"]
• primary_ticker (string/null) — e.g. CAMO
• event_date (string/null) — e.g. 2026-08-19
• tmx_id (string/null) — e.g. 2478
• headline (string/null) — e.g. Evolve Global Defense & Aerospace Index ETF (CAMO, CAMO.B)
• source_url (string/null) — e.g. https://www.tsx.com/en/news/new-company-listings?id=2478
• canonical_url (string/null) — e.g. https://www.tsx.com/en/news/new-company-listings?id=2478
• source (string/null) — e.g. tmx-exchange-news
• observed_at (string/null) — e.g. 2026-09-17T17:55:57Z
• terminal (string/null) — null in every sample row
• pages_read (integer/null) — null in every sample row
• raw_seen (integer/null) — null in every sample row
• duplicates (integer/null) — null in every sample row
• unique_found (integer/null) — null in every sample row
• delivered (integer/null) — null in every sample row

Output

One record per exchange event, deduped on the TMX detail id:

record_type (new_listing | review_suspension), event_date, company, exchange (TSX/TSXV, where stated), tickers (all symbols), primary_ticker, event_action (e.g. Delisting Review, Trading Suspended — suspensions only), tmx_id, headline, source_url (the TMX detail page). The article body is never stored.

Every run also writes a RUN_RECEIPT record to its key-value store with the source checks it made and the counts it charged — diagnostics never land in the paid dataset.

⚙️ Sample inputs

1. Quick start — the Store example (this is what the sample above came from)

{
  "maxRecords": 10,
  "pageUrls": [
    "https://www.tsx.com/en/news/new-company-listings",
    "https://www.tsx.com/en/news/reviews-and-suspensions"
  ]
}

The sample run charged exactly: 1 × $0.02 apify-actor-start + 10 × $0.05 listing_status_record = $0.52 on the Free tier — every delivered row was billed.

2. A smaller, narrowed run

{
  "maxRecords": 5,
  "pageUrls": [
    "https://www.tsx.com/en/news/new-company-listings",
    "https://www.tsx.com/en/news/reviews-and-suspensions"
  ]
}

Caps the run at 5 rows — about $0.27 on the Free tier ($0.02 start + 5 × $0.05).

3. A full-size run

{
  "maxRecords": 300,
  "pageUrls": [
    "https://www.tsx.com/en/news/new-company-listings",
    "https://www.tsx.com/en/news/reviews-and-suspensions"
  ]
}

Up to 300 rows (the schema default for maxRecords) — about $15.02 on the Free tier ($0.02 start + 300 × $0.05) if the source has that many.

🧾 JSON sample record

One real record from run kDTpwLDYuXbTnxd8w, exactly as it lands in the dataset (emails masked, long text shortened):

{
  "record_type": "new_listing",
  "name": "Ninepoint Enhanced U.S. Equity HighShares ETF",
  "company": "Ninepoint Enhanced U.S. Equity HighShares ETF",
  "exchange": null,
  "event_action": null,
  "tickers": [
    "USHI"
  ],
  "primary_ticker": "USHI",
  "event_date": "2026-09-11",
  "tmx_id": "2489",
  "headline": "Ninepoint Enhanced U.S. Equity HighShares ETF (USHI)",
  "source_url": "https://www.tsx.com/en/news/new-company-listings?id=2489",
  "canonical_url": "https://www.tsx.com/en/news/new-company-listings?id=2489",
  "source": "tmx-exchange-news",
  "observed_at": "2026-09-23T16:20:52Z"
}

🔧 How it works

Source. The actor reads www.tsx.com — endpoints: https://www.tsx.com, https://www.tsx.com/en/news/new-company-listings, https://www.tsx.com/en/news/reviews-and-suspensions. Public pages and feeds only; nothing behind a login.

Transport. Plain HTTPS from the Apify platform, no proxy. robots.txt is read first and a disallowed path is never fetched.

Terminal states. A run ends NORMAL, CAPPED (your cap was reached), PARTIAL (something was withheld and the message says what), GENUINE_EMPTY (the source was read and truly had nothing in scope) or BLOCKED (the source refused or changed shape — the run FAILS loud and bills nothing). A zero-row run is never reported as a silent success.

Charging. Each listing / status record is charged at the moment it is pushed (listing_status_record); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

🔧 How it works

What is not done. No login, no cookie or CAPTCHA bypass, no private or personal-account data, no browser automation.

💰 Pricing example

Event	Free	Bronze	Silver	Gold
Actor Start (apify-actor-start)	$0.02	$0.02	$0.02	$0.02
Listing / Status Record (listing_status_record)	$0.05	$0.045	$0.04	$0.0335

Worked at the live Free-tier price:

• 8 listing / status records: $0.02 start + 8 × $0.05 = $0.42
• 25 listing / status records: $0.02 start + 25 × $0.05 = $1.27
• 300 listing / status records: $0.02 start + 300 × $0.05 = $15.02

A run that delivers zero rows charges the $0.02 start fee only. A BLOCKED run (source refused) fails loud and charges no value event. The start fee is charged once per GB of run memory; the default run memory is 1024 MB.

Yield on the sample run: CAPPED: delivered 10 of at least 246 unique records (maxRecords=10) — a buyer bound, not an outage. record billable=10. maxRecords is a hard ceiling on what is delivered and billed, never a target.

⚖️ Legal & ToS

This actor reads public, logged-out pages and feeds published by www.tsx.com. It collects only what the source publishes to any visitor, keeps to the source's robots rules (checked on every run), identifies itself, and does not access accounts, private data or anything behind authentication. Use the output in line with the source's terms and your local law; the intended use is B2B research and monitoring.

❓ FAQ

Q: Do I need an API key or a login?
A: No. The source (www.tsx.com) is read logged-out; the input schema has no key field and the actor carries no secrets.

Q: Why did my run return 0 rows?
A: Read the run's status message. GENUINE_EMPTY means the source was read and had nothing in scope for your input; BLOCKED means the source refused and the run failed without billing a value event — retry later or narrow the input. A zero-row run bills the start fee only.

Q: How many rows can one run return?
A: Up to maxRecords (default 300). Raise the cap for a bigger run; you pay per delivered row.

Q: How fresh is the data?
A: Every run reads the source live at run time; nothing is cached between runs. Put it on a schedule for a continuous feed.

Q: What formats can I export?
A: The dataset downloads as JSON, CSV, Excel, XML or RSS from the run's Dataset tab or the Apify API, and any run can push to a webhook or integration.

Q: How is this different from the other market announcement scrapers actors?
A: Same output shape and billing model; this one covers www.tsx.com. The siblings under Related Actors cover the other sources or slices — run several on one schedule for a combined feed.

Q: Are there rate limits?
A: The actor paces itself against the source and honours its robots rules; there is no per-buyer limit beyond your Apify plan's concurrency.

🆘 Troubleshooting

• Run FAILED with BLOCKED → the source refused the request or changed its page shape → nothing was billed beyond the start fee; retry after a while, and if it persists open an Issue with the run id.
• Status says CAPPED → your cap (maxRecords) was reached → raise it for a bigger run.
• Input validation error on start → a field is outside the schema's allowed values → start from the Quick start block and change one field at a time.
• Run TIMED-OUT → a very wide request on a slow day → raise the run timeout in Run options or narrow the input; what was delivered before the timeout is still in the dataset.

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• 🏢 About NexGen Watch — NexGen Watch is a catalog of more than 300 public data actors built on official sources, pay-per-result. Browse the catalog at apify.com/nexgenwatch.

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