# FEC Contributions: cited totals by state and committee type (`citature/fec-contributions`) Actor

Cited federal campaign-contribution totals for an election cycle, aggregated by contributor state or by recipient committee type. Every answer carries a receipt: the exact source URL, when it was retrieved, coverage caveats, and guardrails.

- **URL**: https://apify.com/citature/fec-contributions.md
- **Developed by:** [citature](https://apify.com/citature) (community)
- **Categories:** AI
- **Stats:** 1 total users, 0 monthly users, 96.2% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$20.00 / 1,000 answer serveds

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/platform/actors/running/actors-in-store#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

## FEC Contributions — cited campaign-finance totals

Federal campaign-contribution totals for a U.S. election cycle, aggregated **by
contributor state** or **by recipient committee type**, returned with a full
citation receipt. Built for AI agents and analysts who need a number they can
defend: every answer carries the exact public source it came from, when it was
retrieved, what it covers, and what it does not.

Data comes straight from the **Federal Election Commission** — the primary,
public-domain federal record. No aggregator, no opinion, no scoring.

### What you can ask

- How much did individual contributions total in the **2024** cycle, broken down
  by the **contributor's state**?
- Which **committee types** (PACs, party committees, candidate committees) took in
  the most individual contributions in a cycle?

Keywords: FEC, campaign finance, political contributions, donations by state, PAC
money, election cycle, committee type, federal election data, campaign donations,
money in politics, contribution totals.

### Input

| Field | Type | Required | Notes |
|---|---|---|---|
| `cycle` | integer | yes | Even election-cycle year, e.g. `2024`. |
| `group_by` | `"state"` | `"committee_type"` | no (default `state`) | How to aggregate. |
| `limit` | integer 1–500 | no (default 50) | Max ranked rows. |

```json
{ "cycle": 2024, "group_by": "state", "limit": 5 }
```

### Output — an answer with a receipt

The actor returns one receipt object (also stored as the run's `OUTPUT`). The
`answer` is the ranked totals; the rest is provenance you can verify yourself.

```json
{
  "answer": [
    { "cycle": 2024, "state": "CA", "total_cents": 4820100000, "contribution_count": 91234 },
    { "cycle": 2024, "state": "TX", "total_cents": 3110450000, "contribution_count": 60112 }
  ],
  "citations": [
    {
      "source": "fec",
      "source_label": "U.S. Federal Election Commission",
      "query_url": "https://api.open.fec.gov/v1/schedules/schedule_a/by_state/totals/?cycle=2024",
      "retrieved_at": "2026-01-02T00:00:00.000Z",
      "as_of": null,
      "cache": "cached",
      "record_id": null
    }
  ],
  "coverage": [
    "Coverage reflects records currently in citature's dataset, not the full upstream history.",
    "Contribution figures are entity-level aggregates; citature ships no individual-person contribution records."
  ],
  "guardrails": [
    "Research over public-domain federal records — not legal, financial, or eligibility advice.",
    "citature reports what the record says. It never renders a compliance verdict, a screening pass/fail, or a recommendation.",
    "Entity-level records only (committees, candidates, recipients, agencies, contracts). No individual-person data."
  ],
  "matches": [],
  "schema_version": "0.1.0"
}
```

Money is always integer **cents** (`total_cents`) — no floats, no rounding
surprises. `retrieved_at` is when citature fetched the record; a source's own
as-of date, when it publishes one, is a separate field.

### Guardrails

- Research over public-domain federal records — **not** legal, financial, or
  eligibility advice.
- citature reports what the record says. It never renders a compliance verdict, a
  screening pass/fail, or a recommendation.
- Entity-level records only. No individual-person data is ever returned.

### Pricing

Pay per successful answer. You are charged only when an answer is served; a
rejected or failed request is never billed.

# Actor input Schema

## `cycle` (type: `integer`):

Even federal election cycle year, e.g. 2024. A contribution made in an odd year is attributed to the even cycle it belongs to.

## `group_by` (type: `string`):

Aggregate contribution dollars by the contributor's state of origin, or by the recipient committee's type.

## `limit` (type: `integer`):

Maximum number of ranked rows to return (1 to 500).

## Actor input object example

```json
{
  "cycle": 2024,
  "group_by": "state",
  "limit": 50
}
```

# Actor output Schema

## `receipts` (type: `string`):

No description

## `receipt` (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 = {
    "cycle": 2024
};

// Run the Actor and wait for it to finish
const run = await client.actor("citature/fec-contributions").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 = { "cycle": 2024 }

# Run the Actor and wait for it to finish
run = client.actor("citature/fec-contributions").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "cycle": 2024
}' |
apify call citature/fec-contributions --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=citature/fec-contributions",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/KgXQ2gitOqjTScdRk/builds/WgRzIYjyARlQ5hBm6/openapi.json