FEC Independent Expenditures

FEC independent-expenditure public records — PAC spending, support/oppose, amounts and payees.

Factual public records — not financial, investment or compliance advice. Screening data is provided as-is for your own compliance program.

📊 Sample Output

candidate_id	candidate_name	candidate_first_name	committee_id	committee_name	expenditure_amount
P80001571	TRUMP, DONALD	DONALD	C00884981	A GREATER REPUBLIC PAC	15
P80001571	TRUMP, DONALD J	DONALD	C00804856	REPUBLICAN ACCOUNTABILITY PAC	17666.46
P80001571	TRUMP, DONALD J	DONALD	C00804856	REPUBLICAN ACCOUNTABILITY PAC	194.47
P80001571	TRUMP, DONALD J	DONALD	C00804856	REPUBLICAN ACCOUNTABILITY PAC	49091.67
P80001571	TRUMP, DONALD J	DONALD	C00804856	REPUBLICAN ACCOUNTABILITY PAC	7716.02
P80001571	TRUMP, DONALD J	DONALD	C00804856	REPUBLICAN ACCOUNTABILITY PAC	86663.26

Real rows from run JM19z3BljtBcgTfqY on build 0.0.6 (2026-09-25), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

⚙️ Sample inputs

This is the Store example input — the same input Apify's automated check runs — so it is proven to return rows on the current build. Paste it into the input form, or send it through the API, CLI or a schedule:

{
  "candidate_name": "Trump",
  "cycle": 2024,
  "min_date": "2024-01-01",
  "max_date": "2024-12-31",
  "max_results": 50
}

🔧 Input reference

Field	Type	Default	What it does
candidate_id	string	""	Specific FEC candidate ID (e.g. 'P00009423' for Donald Trump). If you don't know the ID, use 'candidate_name' instead and we'll resolve it via the FEC /candidates/search/ endpoint.
candidate_name	string	"Trump"	Search by candidate name (e.g. 'Trump', 'Harris'). Resolved to up to 3 candidate IDs and queried in one batch.
committee_id	string	""	Optional FEC committee ID (e.g. 'C00010603' MAGA Inc) to restrict expenditures to a single PAC/Super PAC.
cycle	integer	2024	Even-numbered election year (e.g. 2024, 2022, 2020). Schedule E is reported per cycle.
min_date	string	"2024-01-01"	ISO date YYYY-MM-DD. Filters expenditures with dissemination_date >= this value.
max_date	string	"2024-12-31"	ISO date YYYY-MM-DD. Filters expenditures with dissemination_date <= this value.
support_oppose	string (, S, O)	""	S = support the candidate. O = oppose. Leave blank to return both.
max_results	integer	50	Maximum number of expenditure records to return (1-2000). Each record is one Schedule E line item.
apiKey	string	""	Your personal OpenFEC API key. Falls back to 'DEMO_KEY' (rate-limited to ~30 calls/hour shared across all anonymous users). Sign up free at https://api.open.fec.gov/developers for…

🧾 JSON sample record

One real record from run JM19z3BljtBcgTfqY (emails/phones masked, long text shortened):

{
  "candidate_id": "P80001571",
  "candidate_name": "TRUMP, DONALD",
  "candidate_first_name": "DONALD",
  "candidate_last_name": "TRUMP",
  "candidate_office": "P",
  "candidate_office_state": "TX",
  "candidate_office_district": "00",
  "candidate_party": "REP",
  "committee_id": "C00884981",
  "committee_name": "A GREATER REPUBLIC PAC",
  "expenditure_amount": 15,
  "expenditure_date": "2024-12-31",
  "expenditure_description": "BANKING SERVICES",
  "dissemination_date": "2024-12-31",
  "disbursement_date": "2024-12-31",
  "support_oppose_indicator": "S",
  "election_type": "G2024",
  "election_type_full": null,
  "category_code": "001",
  "category_code_full": "Administrative/Salary/Overhead Expenses ",
  "report_year": "2024",
  "report_type": "YE",
  "schedule_type": "SE",
  "schedule_type_full": "ITEMIZED INDEPENDENT EXPENDITURES",
  "filing_date": "2025-01-31",
  "filing_form": "F3X",
  "filer_first_name": "GREGORY",
  "filer_last_name": "MURPHY",
  "payee_name": "OLD GLORY BANK",
  "payee_city": "OKLAHOMA CITY",
  "payee_state": "OK",
  "payee_zip": "73156",
  "memo_text": null,
  "memo_code": null,
  "image_number": "202501319753094487",
  "pdf_url": "https://docquery.fec.gov/cgi-bin/fecimg/?202501319753094487",
  "transaction_id": "SE.4308",
  "file_number": 1873816,
  "sub_id": "4020520251142972026"
}

💰 Pricing

Event	Price (USD)	When it is charged
Actor Start (apify-actor-start)	$5e-05	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
Expenditure record (apify-default-dataset-item)	$0.03	Single FEC Schedule E independent expenditure record pushed to the dataset.

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.03 = $3.00 plus the start fee.

🔗 Related Actors

More from the NexGenData US government, courts & regulators family:

• FDIC Bank Financials & Health Records API
• FDIC Bank Leads — US Bank Directory & Contacts API
• FEC Campaign Finance Records — Contributions API
• Federal Reserve Bank Enforcement Actions API
• US Federal Contract Spending Intelligence API
• US Federal Grant Opportunities — Grants.gov API

46 more in this family on the NexGenData Store page.

📊 What you get

Clean JSON, one record per expenditure (full output has 8 fields):

• committee_name — Committee name
• candidate_name — Candidate name
• office — Office
• support_oppose — Support oppose
• amount — Amount
• expenditure_date — Expenditure date
• purpose — Purpose
• payee — Payee

Pricing: $0.030 per expenditure (Pay-Per-Event) — about 33 expenditures per $1.

🤖 Use with AI agents

Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull official records on demand.

Agentic payments (x402): Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

🔗 Related regulatory actors

US government data & filings:

Federal Register · Treasury Auctions · Treasury Yields · FEC Contributions · IRS 990 · Nonprofit 990 Records

Company registries: Delaware · US State Filings · India MCA · GLEIF LEI · UK PSC · HK Registry · Taiwan MOEA

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Public official records and enforcement data, assembled for research and monitoring.