# Canada Company Data — Federal & BC Corporation Search (`foxlabs/canada-company-data`) Actor

Search Canadian federal corporations by name or number. Returns corporation status, registered office, directors, and governing legislation from ISED Corporations Canada.

- **URL**: https://apify.com/foxlabs/canada-company-data.md
- **Developed by:** [Berkan Kaplan](https://apify.com/foxlabs) (community)
- **Categories:** Business, Lead generation
- **Stats:** 4 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.50 / 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/actors/running/actors-in-store.md#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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Canada Company Data — Corporations Registry 🇨🇦

🎉 Turn the Canadian corporations registries into clean, structured company data — no login, no API key, one row per entity, with the corporation number, status, jurisdiction and address.
Built for B2B sales, lead generation, KYB / compliance and market-research teams.

### 🔍 What is the Canada Company Data — and when should you use it?

Give this actor company names or Canadian corporation numbers and it returns matching companies from the Canadian federal and provincial corporations registries (open data) — as clean, deduplicated rows you can filter, export or feed to an AI agent. Every run queries the source live, so the data is as fresh as the registry itself.

**Use it when you need:** a Canada company list for outreach; formation / status monitoring; or a canonical registry record for KYB and due diligence.

**Use something else when:** you need firmographics the registry doesn’t hold (revenue, headcount, website, email) — pair this with an enrichment actor from [Fox Labs](https://apify.com/foxlabs).

### 🤖 Use with AI agents

**Already on the Apify MCP server?** Ask for this Actor by name: `foxlabs/canada-company-data`.

**Your agent can pay for its own runs.** This Actor is pay-per-event with agentic payments, so an agent can discover it, run it and settle the bill over **x402 (USDC on Base)** or **Skyfire** — no Apify account or API token of its own. Billing is the same either way: per delivered record, never for errors.

Otherwise paste this into Claude, ChatGPT, Cursor or any MCP-enabled assistant:

```
I want to pull Canada company records using the Apify Actor `foxlabs/canada-company-data`.
Input: `queries` is a list of company names or Canadian corporation numbers. `maxResultsPerQuery` caps rows per query.
Start with: {"queries":["undefined"],"maxResultsPerQuery":50}
Ask me what to look up, run the Actor, then summarise the rows as a table.
```

The machine-readable API, MCP config and OpenAPI definition live at `apify.com/foxlabs/canada-company-data.md`.

### 📋 Overview

Everything you need to turn the Canadian federal and provincial corporations registries (open data) into clean, structured data — in one actor, with no login, cookies or API key.

**Why teams pick this actor:**

- ✅ **Whole registry, one call** — name or ID in, matching companies out.
- 🧹 **No empty-promise columns** — only fields this registry actually fills; degenerate columns are removed.
- 🔗 **Stable identifiers** — every row carries the source's own IDs, ready to join across runs and to other Fox Labs actors.
- 💰 **Pay only for results** — per-row pricing, empty/failed lookups never billed.
- 🤖 **Agent-ready** — MCP + x402 agentic payments.

### ✨ Features

- 🔍 **Name or ID lookup** — relevance-ranked name search or exact registry-ID lookup.
- 🏢 **Full entity profile** — status, legal form, formation date, address and the registry’s own contact fields.
- 🧹 **Clean schema** — deduplicated camelCase rows, ready for CSV/Excel/JSON.

### 🎬 Quick Start

```bash
curl -X POST "https://api.apify.com/v2/acts/foxlabs~canada-company-data/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["undefined"],"maxResultsPerQuery":50}'
```

### 🚀 Getting Started (3 steps)

1. **Choose your targets** — company names or Canadian corporation numbers.
2. **Set the cap** — `maxResultsPerQuery` limits rows per query.
3. **Run and export** — get a clean dataset as JSON, CSV or Excel.

### 📥 Input

```json
{"queries":["undefined"],"maxResultsPerQuery":50}
```

| Field | Type | Description |
|---|---|---|
| `queries` | array | Company names or Canadian corporation numbers. |
| `maxResultsPerQuery` | integer | Caps rows per query. |
| `maxConcurrency` | integer | How many queries to fetch at once. |
| `includeRaw` | boolean | Attach the source’s untouched record under `raw`. |

### 📤 Output

One row per company, saved to the dataset. Every row also carries `query`, `scrapedAt`, and — when a lookup fails — an `error` explaining why (never silently dropped, never billed).

| Field | Description |
|---|---|
| `jurisdiction` | Jurisdiction of formation |
| `corporateName` | Corporate Name |
| `corporateNameSecondary` | Corporate Name Secondary |
| `corporationNumber` | Corporation Number |
| `businessNumber` | Business Number |
| `governingLegislation` | Governing Legislation |
| `status` | `active` / `inactive` / `dissolved` |
| `anniversaryDate` | Anniversary Date |
| `yearOfLastFiling` | Year Of Last Filing |
| `lastAnnualMeeting` | Last Annual Meeting |
| `street` | Street |
| `city` | City |
| `province` | Province |
| `country` | Country |
| `postalCode` | Postal code |
| `directorsMin` | Directors Min |
| `directorsMax` | Directors Max |
| `source` | Source |
| `sourceUrl` | Public registry URL for the record |

### 💼 Use cases

**1. Canada B2B lead lists** — active Canadian corporations by name.
*Input:* name searches. *Output:* entities + jurisdiction + address. *Use:* a ready sales list.

**2. Federal vs provincial** — separate federal and provincial incorporations.
*Input:* name searches. *Output:* jurisdiction. *Use:* segment the market.

**3. KYB / due diligence** — verify a Canadian corporation by number.
*Input:* the number or name. *Output:* the canonical registry record. *Use:* confirm existence and status.

### 🔗 Integration

**JavaScript / Node.js**

```javascript
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('foxlabs/canada-company-data').call({"queries":["undefined"],"maxResultsPerQuery":50});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);
```

**Python**

```python
from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('foxlabs/canada-company-data').call(run_input={"queries":["undefined"],"maxResultsPerQuery":50})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)
```

**Automation (n8n / Zapier / Make):** schedule or webhook → HTTP request to the actor API with your `queries` → handle the JSON dataset → push to a sheet, CRM or dashboard.

### 📊 Pricing

Pay-per-event: **per delivered record**. Empty or failed lookups are never billed. [View current pricing.](https://apify.com/foxlabs/canada-company-data)

### ❓ FAQ

**Do I need an account, login or API key?** No. This reads the Canadian federal and provincial corporations registries (open data).

**What do I search by?** Company names or Canadian corporation numbers.

**How current is the data?** Every run queries the source live, so results are as fresh as the registry.

**Why are firmographics like revenue or website missing?** A public business registry doesn’t hold them; we don’t ship empty columns. Pair with an enrichment actor from Fox Labs.

**Can I export to CSV / Excel / JSON?** Yes — directly from the Apify dataset.

### 🐛 Troubleshooting

- **Fewer rows than expected** — raise `maxResultsPerQuery`, or refine the name.
- **A name returns an unexpected entity** — it matched a similar registered name; search the exact registry ID.
- **No rows for a name** — try the entity’s exact legal name or its registry ID.

### ⚖️ Is it legal to scrape this data?

This actor reads a public government business registry published as open data. Results can still contain personal data (e.g. a registered agent’s name); personal data is protected by the GDPR and similar laws, so only process it with a legitimate basis. See Apify’s blog post on the legality of web scraping.

### 🤝 Support & contact

- 🌐 **Website:** [data.foxlabs.com.tr](https://data.foxlabs.com.tr)
- 📧 **Email:** info@foxlabs.com.tr
- 🐛 **Issues:** open a ticket in the Actor’s **Issues** tab
- 🧰 **More clean B2B data actors:** [Fox Labs on Apify](https://apify.com/foxlabs)

### Changelog

#### 0.1 — 2026-09-07

- **Enabled AI-agent payments (x402) + rebuilt the README to the full standard** (What-is / when, AI-agents + x402 agentic payments + MCP, Overview, Features, Use cases, Integration, FAQ, Troubleshooting, Support & contact).

#### 0.0

- Initial release: data from the Canadian federal and provincial corporations registries (open data) by name or registry ID.

# Actor input Schema

## `companyNames` (type: `array`):

Search by company name across Federal + BC registries. Substring match (e.g. "Shopify" finds Shopify Inc.).

## `corporationNumbers` (type: `array`):

Federal corporation number (e.g. 8660115) or BC registration number. Most precise lookup.

## `category` (type: `string`):

Browse/list federal corporations by organisation TYPE. The federal open data has no industry/NAICS codes, so this is the corporate form. Works without a name/number — combine with Province to narrow. Federal only.

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

Filter federal results to a province/territory. Use with Category to browse (e.g. all not-for-profits in Ontario), or alongside a name search.

## `jurisdiction` (type: `string`):

Which registry to search. Federal = Corporations Canada (CBCA). BC = British Columbia (OrgBook). Both = merge. Category/Province browse is federal only.

## `includeInactive` (type: `boolean`):

Federal: also stream the dissolved/inactive corporations file (larger, slower). BC already excludes historical.

## `bcBusinessNumber` (type: `boolean`):

For BC results, make one extra OrgBook call per company to retrieve the 9-digit business number (the search result alone rarely includes it). Turn off for faster, lighter BC runs.

## `maxResults` (type: `integer`):

Hard cap on records (1–50000).

## `proxyConfiguration` (type: `object`):

Apify Proxy. Datacenter is fine — official open-data sources don't block.

## Actor input object example

```json
{
  "companyNames": [
    "Shopify",
    "Lululemon"
  ],
  "corporationNumbers": [],
  "category": "any",
  "province": "any",
  "jurisdiction": "both",
  "includeInactive": false,
  "bcBusinessNumber": true,
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

// Prepare Actor input
const input = {
    "companyNames": [
        "Shopify",
        "Lululemon"
    ],
    "corporationNumbers": [],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("foxlabs/canada-company-data").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 = {
    "companyNames": [
        "Shopify",
        "Lululemon",
    ],
    "corporationNumbers": [],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("foxlabs/canada-company-data").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 '{
  "companyNames": [
    "Shopify",
    "Lululemon"
  ],
  "corporationNumbers": [],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call foxlabs/canada-company-data --silent --output-dataset

```

## MCP server setup

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

```

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/MtuvJeojWBcCfuywX/builds/GajNoBMRNjmICuxHi/openapi.json