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The NorthAxium Data contributions API exposes the full Elections Canada reviewed contributions dataset — 6.2M+ records covering contributions to parties, candidates, electoral district associations, leadership contestants, and nomination contestants from 2000 to present.

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Prerequisites

  • A NorthAxium Data API key (get one here or use the free demo key)
  • Python 3.8+ with the requests library installed (pip install requests)

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Search contributions by party and year

The most common starting point — aggregate contributions to a party in a given election year. 
import requests

API_KEY = "your_api_key_here"
BASE_URL = "https://api.northaxiumdata.ca/api/v1"
headers = {"X-API-Key": API_KEY}

# get contributions to a party in a specific year
params = {
    "party": "Conservative",    # partial match on party name
    "year": 2021,
    "limit": 20,
}

response = requests.get(
    f"{BASE_URL}/contributions",
    headers=headers,
    params=params
)
data = response.json()

print(f"Total contributions matching filter: {data['meta']['total']}")
print()

for c in data["data"]:
    print(f"Contributor:  {c['contributor_name']} ({c.get('contributor_province', 'N/A')})")
    print(f"Party:        {c['political_party']}")
    print(f"Amount:       ${c['monetary_amount']:,.2f}")
    print(f"Type:         {c['contributor_type']}")
    print("---")

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Get party-level contribution statistics

Aggregate total contributions and donor counts by party across a full election cycle. 
params = {
    "group_by": "party",
    "sum_field": "monetary_amount",
}

response = requests.get(
    f"{BASE_URL}/contributions/stats",
    headers=headers,
    params=params
)
stats = response.json()["data"]

print("Contributions by party (all time):")
for row in stats[:8]:
    print(f"  {row['party']}: ${row['total']:,.0f} from {row['count']:,} contributions")

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Track a contributor’s full donation history

Look up how much a named individual or organization has contributed and to which parties. 
# search for a contributor by name
contributor = "Pierre Poilievre"

response = requests.get(
    f"{BASE_URL}/contributors/{contributor}",
    headers=headers
)
profile = response.json()["data"]

print(f"Contributor: {profile['contributor_name']}")
print(f"Total donated: ${profile['total_amount']:,.2f} across {profile['contribution_count']} contributions")

print("\nBy party:")
for row in profile["party_breakdown"]:
    print(f"  {row['party']}: ${row['total']:,.2f} ({row['count']} contributions)")

print("\nBy year:")
for row in profile["year_breakdown"]:
    print(f"  {row['year']}: ${row['total']:,.2f}")

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Compare contributions by province

Break down contributions to a specific party by province of origin. 
params = {
    "group_by": "province",
    "sum_field": "monetary_amount",
}

response = requests.get(
    f"{BASE_URL}/contributions/stats",
    headers=headers,
    params=params
)
stats = response.json()["data"]

print("Contributions by province (all parties, all time):")
for row in stats:
    if row.get("province"):
        print(f"  {row['province']}: ${row['total']:,.0f} from {row['count']:,} contributions")

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Filter by contributor type

Elections Canada tracks several contributor types. Filter to corporate contributions to identify organizational donors. 
# contributor_type options: Individuals, Corporations, 
# Businesses / Commercial organizations, Unincorporated organizations or associations
params = {
    "contributor_type": "Corporations",
    "year": 2019,
    "min_amount": 1000,
    "limit": 20,
}

response = requests.get(
    f"{BASE_URL}/contributions",
    headers=headers,
    params=params
)
data = response.json()

print(f"Corporate contributions over $1,000 in 2019: {data['meta']['total']}")
for c in data["data"]:
    print(f"  {c['contributor_name']} → {c['political_party']}: ${c['monetary_amount']:,.2f}")

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What’s happening here

party parameter — partial match. "Liberal" matches Liberal Party of Canada, Alberta Liberal Party, and similar. For a precise match, use the full party name string from the stats endpoint. contributor_type — exact match on Elections Canada’s classification. The most common values are Individuals (by far the largest group at ~99% of records) and Corporations. Use the stats endpoint grouped by contributor_type to see the full breakdown. electoral_event — exact match on the Elections Canada event label, e.g. 44th General Election, 43rd General Election. Use this to isolate contributions within a specific election campaign rather than a calendar year. Contributor profiles — the profile endpoint uses partial name matching. For common names, you may get multiple contributors in the result. The year_breakdown in the profile is useful for understanding whether a contributor’s giving pattern changed around a specific election. Data coverage note — Elections Canada publishes reviewed contributions on a per-election cycle basis. The most recent election cycle may not yet be reviewed and published. Check the Coverage page for the current data state.

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Next steps

Contributions API Reference

Full parameter reference for the contributions endpoint

Contributor Profiles

Aggregated contribution history for any named contributor

Find Lobbying Activity

Cross-reference donors with lobbying records

MCP Server

Ask Claude to analyse contributions in natural language