Canada Charity Data — CRA 🇨🇦

foXLabs charity & nonprofit series: UK charities · US nonprofits

🎉 Turn the CRA charity list into clean, structured charity data — no login, no API key, one row per charity, with the business/registration number, status, category and address. Built for B2B sales, lead generation, KYB / compliance and market-research teams.

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

Give this actor charity names or BN / registration numbers and it returns matching charities from the Canada Revenue Agency registered-charity list (official open data) — as clean, deduplicated rows you can filter, export or feed to an AI agent. Every run reads the source live.

Use it when you need: a Canada company list for outreach; a quick profile before a call; or a starting point for account research.

Use something else when: you need commercial firmographics — this is the CRA charity list, not a company database.

🤖 Use with AI agents

Already on the Apify MCP server? Ask for this Actor by name: foxlabs/ca-charity-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 charity company records using the Apify Actor `foxlabs/ca-charity-data`.
Input: `searchQuery`, `businessNumbers`, `designation`, `location` and more — see the Input table below. `maxResults` caps how many results are returned.
Start with: {"businessNumbers":["119219814RR0001","107492928RR0001"],"maxResults":1000}
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/ca-charity-data.md.

📋 Overview

Everything you need to turn the Canada Revenue Agency registered-charity list (official 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.
• 💰 Per-row pricing — a minimal price per delivered row, no subscription.
• 🤖 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

curl -X POST "https://api.apify.com/v2/acts/foxlabs~ca-charity-data/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"businessNumbers":["119219814RR0001","107492928RR0001"],"maxResults":1000}'

🚀 Getting Started (3 steps)

1. Choose your targets — charity names or BN / registration numbers.
2. Set the cap — maxResults limits how many results are returned.
3. Run and export — get a clean dataset as JSON, CSV or Excel.

📥 Input

{"businessNumbers":["119219814RR0001","107492928RR0001"],"maxResults":1000}

Field	Type	Description
searchQuery	string	Keep only charities whose legal name contains this text (case-insensitive). Example: "foundation", "hospital", "church". Leave empty to browse by the other filters.
businessNumbers	array	Exact CRA registration numbers for precise lookup (e.g. ["119219814RR0001"] = Canadian Red Cross, or just "119219814"). Overrides the name search.
designation	string	Filter by CRA designation type.
location	string	Keep only charities whose city, province or postal code contains this text (e.g. "Toronto", "ON", "Vancouver", "BC"). Leave empty for all of Canada.
onlyWithWebsite	boolean	Return only charities that publish a website URL.
includeDirectors	boolean	Attach each charity's directors, trustees and like officials (name, position, arm's-length flag, start/end date). Off by default — adds a reference download.
includeFinancials	boolean	Attach the latest T3010 financials — total revenue, expenditures, charitable expenditures, assets, liabilities, receipted donations and employee compensation.…
maxResults	integer	Maximum number of charities to return (1–500000).

📤 Output

One row per result, saved to the dataset. Every row carries scrapedAt. Lookups that cannot be completed are reported in the run log rather than silently dropped.

Field	Description
legalName	Legal Name
businessNumber	Business Number
designation	Designation
designationCode	Designation Code
categoryCode	Category Code
address	Principal address
city	City
province	Province
postalCode	Postal code
country	Country
website	Website
financials	Financials
totalRevenueFormatted	Total Revenue Formatted
directors	Directors
source	Source
license	License
registryUrl	Registry Url

💼 Use cases

1. Charity-sector prospecting — target Canadian charities by category and region. Input: name searches. Output: charities + category. Use: a ranked list.

2. Grant / partnership research — find charities by cause. Input: name searches. Output: charities + status. Use: shortlist partners.

3. KYB / verification — verify a Canadian charity by BN. Input: the BN or name. Output: the canonical CRA record. Use: confirm registration.

🔗 Integration

JavaScript / Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('foxlabs/ca-charity-data').call({"businessNumbers":["119219814RR0001","107492928RR0001"],"maxResults":1000});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('foxlabs/ca-charity-data').call(run_input={"businessNumbers":["119219814RR0001","107492928RR0001"],"maxResults":1000})
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 input → 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.

❓ FAQ

Do I need an account, login or API key? No. This reads the Canada Revenue Agency registered-charity list (official open data).

What do I search by? Charity names or BN / registration numbers.

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

What does each row cover? A registered Canadian charity: its BN/registration number, status, category and address from the CRA.

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

🐛 Troubleshooting

• Fewer rows than expected — raise maxResults, or refine the input.
• 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
• 📧 Email: info@foxlabs.com.tr
• 🐛 Issues: open a ticket in the Actor’s Issues tab
• 🧰 More clean B2B data actors: Fox Labs on Apify

Changelog

0.1.8 — 2026-09-20 — README examples corrected against the real input schema

• The README's code examples did not match this Actor. They used queries and maxResultsPerQuery — keys that do not exist in this Actor's input schema — with a placeholder value, and the input table listed those same phantom fields. Anyone who copied the AI-agent, cURL, JavaScript or Python example got a failing run. Every example now uses the real schema and matches the Console prefill: {"businessNumbers":["119219814RR0001","107492928RR0001"],"maxResults":1000}
• The input table is regenerated from input_schema.json, so it lists the fields the Actor actually accepts.
• Removed claims carried over from the same generator template where present: "formation / status monitoring", "a canonical registry record for KYB and due diligence", "every row carries query", and industry described as a NACE code.
• No code, output field or pricing change.

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 Canada Revenue Agency registered-charity list (official open data) by name or registry ID.