# Canada Federal Corporations (Corporations Canada open data) (`loudtzu/canada-federal-corporations`) Actor

Federally incorporated Canadian corporations from the official open.canada.ca dataset (updated daily): corporation and business number, names, act, status, incorporation date, last filing, city, province. Filter by province, status, date range or name. Street addresses removed.

- **URL**: https://apify.com/loudtzu/canada-federal-corporations.md
- **Developed by:** [Travis M](https://apify.com/loudtzu) (community)
- **Categories:** Business, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 corporations

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Canada Federal Corporations

This Actor lists federally incorporated Canadian corporations. The data comes from the official **Federal Corporations** dataset that Corporations Canada (ISED) publishes on open.canada.ca. The source is updated **daily**.

### What you get (one row per corporation)

Corporation number, business number (BN), English and French names, governing act, status and status detail, incorporation (anniversary) date, last annual filing year, last annual meeting date, city, province, country, the postal FSA (first 3 characters of the postal code), and the minimum and maximum number of directors allowed. Each row also has a `url` that links to the corporation's public page on Corporations Canada, a link to the source dataset, and the licence line.

### What you don't get (on purpose)

- Director names. The source files have none, and this Actor never looks them up.
- Street address lines and full postal codes. For a small company, the registered office is often the owner's home, so these are left out.
- Address details inside the city field. Some source records put a postal code, street address, PO box, rural route, unit number or postal-zone number ("TORONTO 18") in the city/town column. These parts are removed, and the city is left empty when nothing clean remains (about 210 of 1.57 million records).

### Names that may belong to individuals (blanked by default)

Some corporate names are a person's name, such as professional corporations ("... Professional Corporation", "Dr. ... Inc.", "... Personal Real Estate Corporation") or companies like "John Samplesmith Holdings Inc." and "Paige Sampleby Photography Inc." (a given name and a surname, then business words or a legal suffix; French names like "Gestion Marco Testblay inc." count too).

**What's withheld:** by default, the `name` and `nameAlt` of these rows are replaced with `[redacted: may be an individual]`. That's about **2.8% of active corporations** (17,905 of 645,463 distinct active CBCA names on Oct 24, 2026). The rest of the row is kept, including the corporation number, business number and `url`, so you can still look the record up on Corporations Canada. Each row has `nameMayBeIndividual` (turn off with `flagIndividuals: false`). Set `redactIndividuals: false` to get every name unchanged.

This is a name-pattern check, not a lookup. It uses lists of common given names and surnames (US-census lists, public domain, as shipped with zxcvbn) and skips place words. On a fresh random sample of 480 active names, about 0.6% were person-named companies it missed, and about 0.8% were real company names it blanked by mistake (for example "Piscines Tropicana Ltée"). Check the results before relying on them.

### Filters

- **Active or inactive**: active only, inactive/dissolved only, or both.
- **Include non-CBCA**: also includes not-for-profits, boards of trade, co-ops and similar bodies.
- **Province/territory**: where the registered office is.
- **Status contains**: for example `Dissolved`, `Amalgamated`, or `Dissolution Pending`.
- **Incorporated on/after** and **on/before**: dates in YYYY-MM-DD format.
- **Name contains**: matches the English or French name.
- **Max corporations**: the run stops after this many (default 100, maximum 50,000).
- **Fetch all**: returns every match, still capped at 50,000 per run. Use filters to split bigger exports.

A bad date or value stops the run right away with a clear message.

### How it works (being polite)

The Actor streams the official CSV files once. It doesn't scrape any web pages. It identifies itself honestly with the User-Agent `canada-federal-corporations Apify Actor (LOUDTZU)`. When it needs more than one file, it waits 20 seconds between downloads, as open.canada.ca's robots.txt asks (`Crawl-delay: 20`). A full active-CBCA file is about 100 MB. It's streamed, not loaded into memory, so the Actor runs in 256 MB.

### Pricing

**$0.003 per result** (pay per event, one result = one corporation), with no start fee. 1,000 corporations cost $3.00.

### Licence

Contains information licensed under the Open Government Licence – Canada (https://open.canada.ca/en/open-government-licence-canada). The source dataset is https://open.canada.ca/data/en/dataset/0032ce54-c5dd-4b66-99a0-320a7b5e99f2. This Actor is not endorsed by the Government of Canada.

### Run locally

```
pip install -r requirements.txt pytest
pytest -q
python -m src   # input in storage/key_value_stores/default/INPUT.json
```

### Word list credit

The English word list used by the name checker comes from [SCOWL](http://wordlist.aspell.net/) 2020.12.07, Copyright 2000-2018 Kevin Atkinson and contributors, used under the SCOWL licence (see `LICENSES/SCOWL.txt`).

# Actor input Schema

## `statusGroup` (type: `string`):

Which source files to read.

## `includeNonCbca` (type: `boolean`):

Also include not-for-profits, boards of trade, co-operatives etc. (default: only Canada Business Corporations Act companies).

## `province` (type: `string`):

Province of the registered office.

## `status` (type: `string`):

Case-insensitive match on status or status detail, e.g. 'Dissolved', 'Amalgamated', 'Dissolution Pending'.

## `incorporatedFrom` (type: `string`):

Based on the anniversary (incorporation/amalgamation) date.

## `incorporatedTo` (type: `string`):

Optional end date.

## `nameKeyword` (type: `string`):

Case-insensitive match on the English or French corporate name.

## `maxItems` (type: `integer`):

Stop after this many matches (default 100, maximum 50,000).

## `fetchAll` (type: `boolean`):

Ignore Max corporations and return every match, capped at 50,000 per run. Use filters to stay under the cap.

## `flagIndividuals` (type: `boolean`):

Adds nameMayBeIndividual (true/false). True for professional corporations ('... Professional Corporation', 'Dr. ...', '... MD Inc.', '... Personal Real Estate Corporation') and names that start with (or, in French names, follow 'Gestion', 'Les Entreprises' etc. with) a given name and a surname, e.g. 'John Smith Holdings Inc.', 'Paige Thompson Photography Inc.'. Heuristic only.

## `redactIndividuals` (type: `boolean`):

On by default. Replaces flagged corporate names (name and nameAlt) with '\[redacted: may be an individual]' (about 2.7% of active corporations). The corporation number, business number and url are kept, so you can still look the record up. Turn off to get every name.

## Actor input object example

```json
{
  "statusGroup": "active",
  "includeNonCbca": false,
  "province": "any",
  "maxItems": 100,
  "fetchAll": false,
  "flagIndividuals": true,
  "redactIndividuals": true
}
```

# Actor output Schema

## `corporations` (type: `string`):

All corporations returned by the run, in the 'overview' table view.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("loudtzu/canada-federal-corporations").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("loudtzu/canada-federal-corporations").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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 loudtzu/canada-federal-corporations --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,loudtzu/canada-federal-corporations"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/yLTdoa3DBmxeZRH82/builds/XpT7sDN1HdgEGcVlK/openapi.json