🗳️ FEC Campaign Finance Normalizer — Cleaned Contributions & Donor Data

Search US federal campaign finance data from the official FEC OpenFEC API with normalized employer names, standardized occupation categories, and deduplicated donors. Perfect for political research, investigative journalism, compliance screening, and donor analytics.

✨ What Makes This Different

Most FEC actors dump raw API data — messy employer names ("GOOGLE INC", "Google", "Alphabet Inc." → all different), vague occupations ("ATTORNEY" vs "Lawyer" vs "ATTY"), and duplicate records. This actor cleans, normalizes, and enriches everything:

• 🏢 200+ employer name normalizations — Google, Goldman Sachs, Boeing, Pfizer, and more are mapped to canonical names
• 💼 12 standard occupation categories — Executive, Finance, Legal, Healthcare, Tech, Real Estate, Education, Government, etc.
• 🧹 Donor deduplication — removes duplicate filings for the same contribution
• 📊 Aggregated summaries — employer totals and occupation breakdowns included in every run

📥 Input Parameters

Parameter	Type	Default	Description
searchMode	select	donor	What to search: donor (name), employer (company), candidate, or committee
searchQuery	text	Google	The name to search for. For employer mode, try company names like "Goldman Sachs", "Boeing", "Pfizer"
contributorState	select	All	Filter contributors by US state (e.g. CA, NY, TX)
minAmount	number	200	Minimum contribution amount (FEC itemized threshold is $200)
maxResults	number	50	Maximum contributions to return (1-200)
twoYearCycle	select	All	Election cycle filter: 2026, 2024, 2022, 2020, 2018, 2016

📤 Example Input

{
  "searchMode": "employer",
  "searchQuery": "Goldman Sachs",
  "contributorState": "",
  "minAmount": 500,
  "maxResults": 50,
  "twoYearCycle": "2024"
}

📊 Example Output

================================================================================
  FEC CAMPAIGN FINANCE — NORMALIZED RESULTS
================================================================================
  Search Mode:    Employer
  Search Query:   Goldman Sachs
  Retrieved:      50 contributions
  Total Amount:   $287,450.00
  Unique Donors:  42
  Unique Employers: 1
  Unique Committees: 18
  ────────────────────────────────────────────────────────────────────────────
  Employer Total                                    Amount      #
  ────────────────────────────────────────────────────────────────────────────
  Goldman Sachs                                   $287,450.00     50
  ────────────────────────────────────────────────────────────────────────────
  Occupation Category                               Amount      #
  ────────────────────────────────────────────────────────────────────────────
  Executive / C-Suite                             $125,000.00     18
  Finance / Investment                            $98,450.00      22
  Technology / Engineering                         $35,000.00      5
  Legal                                            $29,000.00      5
  ────────────────────────────────────────────────────────────────────────────
  Contributions                                     Amount         Date
  ────────────────────────────────────────────────────────────────────────────
   1. Smith, John A                | Goldman Sachs              $5,800.00   2024-03-15
   2. Doe, Jane M                  | Goldman Sachs              $5,600.00   2024-06-22
  ...
================================================================================

🎯 Use Cases

• Political journalists — trace industry money in politics with clean, comparable data
• Compliance teams — screen donors and employers against watchlists
• Campaign strategists — analyze competitor fundraising by industry
• Academic researchers — study political donation patterns with standardized categories
• Non-profits / watchdogs — track corporate political influence

🔌 Data Source

All data comes from the official FEC OpenFEC API (api.open.fec.gov) — free, public, no API key required. This actor uses the Schedule A (individual contributions) endpoint. Data covers all itemized federal contributions ($200+) from 1979 to present.

💰 Pricing

Pay-per-event: $2.00 per 1,000 results — reflecting the value-add normalization, classification, and deduplication beyond raw API passthrough.

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Built by Chris The Dev · More Actors on Apify Store