# FEC Campaign Finance Intelligence (`wakey7dev/fec-campaign-finance`) Actor Search and normalize US campaign finance data: contributions, committees, and candidates. Free API, no key required. - **URL**: https://apify.com/wakey7dev/fec-campaign-finance.md - **Developed by:** [Chris Wakefield](https://apify.com/wakey7dev) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 1,000 results 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use 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 ![Chris The Dev](https://raw.githubusercontent.com/chriswakefield87/appstore-screenshot-translator/main/assets/actor-banner.png) ## FEC Campaign Finance Intelligence 🔍💰 Search and normalize US Federal Election Commission campaign finance data — individual contributions, committee details, and candidate filings. Powered by the official [FEC API](https://api.open.fec.gov) (free, no API key required). ### ✨ Features - **Individual Contributions** — search by donor name, employer, or occupation - **Committee Search** — find PACs, campaign committees, and party committees - **Candidate Lookup** — search active candidates by name - **Data Normalization** — employer names standardized, committee names cleaned, occupations categorized into industry groups - **Rich Stats** — aggregate metrics on donation totals, top donors, party breakdowns, and more ### 📊 Example Output ```` \=========================================================================================== FEC CAMPAIGN FINANCE: INDIVIDUAL CONTRIBUTIONS ============================================== Search: Tesla Retrieved: 50 contributions (of 14,892 total) Data source: api.open.fec.gov (Federal Election Commission) # Donor Amount Date Employer Committee ─── ──────────────────── ──────────── ──────────── ────────────────────── ──────────────────────── 1 Elon Musk $50,000.00 2025-03-15 Tesla Nrsc 2 Elon Musk $44,600.00 2024-06-30 Tesla Elon Musk Victory 3 Zachary Kirkhorn $5,800.00 2024-03-20 Tesla Nrcc ... ```` ### 🔧 Input Parameters | Parameter | Type | Description | Default | |---|---|---|---| | `searchType` | select | Search type: contributions, committees, or candidates | `contributions` | | `searchQuery` | string | **Required.** Search term (name, employer, committee) | — | | `contributorFilter` | select | (Contributions only) Field to search within | `All fields` | | `twoYearTransactionPeriod` | integer | Election cycle year (e.g. 2026 = 2025-2026) | `2026` | | `maxResults` | integer | Max results (1-500) | `100` | | `apiKey` | string | Optional data.gov API key for higher limits | `DEMO_KEY` | #### Example Input ```json { "searchType": "contributions", "searchQuery": "Tesla", "contributorFilter": "contributor_employer", "twoYearTransactionPeriod": 2026, "maxResults": 50 } ```` ### 🏷️ Data Normalization This actor goes beyond raw API passthrough: - **Employer names** — 40+ known companies mapped to canonical names (e.g. "GOOGLE INC" → "Google (Alphabet)") - **Committee names** — legal suffixes stripped, abbreviations standardized - **Occupation categorization** — free-text occupation mapped to 12 industry categories (Finance, Tech, Legal, Healthcare, etc.) - **Party/State expansion** — codes expanded to full names (e.g. "REP" → "Republican Party", "CA" → "California") - **Deduplication** — normalized names prevent duplicate entities ### 🎯 Use Cases - **Journalists** — investigate campaign finance patterns and donor networks - **Political campaigns** — research competitor fundraising - **NGOs & Watchdogs** — track money in politics - **Financial analysts** — monitor corporate political spending - **Researchers** — academic analysis of campaign contributions ### 📡 Data Source All data comes from the official [FEC API](https://api.open.fec.gov) provided by the US Federal Election Commission. The API is free and open — no registration required for basic use. For higher rate limits, register for a free data.gov API key. Data is updated regularly as committees file their reports with the FEC. ### 🚀 Quick Start 1. Enter a search query (company name, person, or committee) 2. Choose your search type and filters 3. Run the Actor — results appear in your dataset with normalized, clean data No API key needed — just search and go! # Actor input Schema ## `searchType` (type: `string`): What to search for. Contributions returns individual donor data, Committees returns PAC/campaign info, Candidates returns candidate filings. ## `searchQuery` (type: `string`): Search term. For contributions: contributor name, employer, or committee name. For committees: committee name. For candidates: candidate name. ## `contributorFilter` (type: `string`): (Contributions only) Which field to search within. ## `twoYearTransactionPeriod` (type: `integer`): Two-year election cycle (e.g. 2026 for 2025-2026 cycle). Default: current cycle. ## `maxResults` (type: `integer`): Maximum number of results to return (1-500). ## `apiKey` (type: `string`): Your data.gov API key for higher rate limits. Leave empty to use DEMO\_KEY (limited to ~1K requests/day). ## Actor input object example ```json { "searchType": "contributions", "searchQuery": "Tesla", "contributorFilter": "", "twoYearTransactionPeriod": 2026, "maxResults": 100, "apiKey": "" } ``` # Actor output Schema ## `results` (type: `string`): All normalized contribution, committee, or candidate records pushed to the default dataset. ## `summary` (type: `string`): Human-readable formatted table of results. ## `stats` (type: `string`): Machine-readable run statistics and summary metadata. # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQuery": "Tesla" }; // Run the Actor and wait for it to finish const run = await client.actor("wakey7dev/fec-campaign-finance").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQuery": "Tesla" } # Run the Actor and wait for it to finish run = client.actor("wakey7dev/fec-campaign-finance").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 '{ "searchQuery": "Tesla" }' | apify call wakey7dev/fec-campaign-finance --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=wakey7dev/fec-campaign-finance", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FEC Campaign Finance Intelligence", "description": "Search and normalize US campaign finance data: contributions, committees, and candidates. Free API, no key required.", "version": "1.0", "x-build-id": "TfwuWapDPVGBri9wh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/wakey7dev~fec-campaign-finance/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-wakey7dev-fec-campaign-finance", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/wakey7dev~fec-campaign-finance/runs": { "post": { "operationId": "runs-sync-wakey7dev-fec-campaign-finance", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/wakey7dev~fec-campaign-finance/run-sync": { "post": { "operationId": "run-sync-wakey7dev-fec-campaign-finance", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "searchQuery" ], "properties": { "searchType": { "title": "Search Type", "enum": [ "contributions", "committees", "candidates" ], "type": "string", "description": "What to search for. Contributions returns individual donor data, Committees returns PAC/campaign info, Candidates returns candidate filings.", "default": "contributions" }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Search term. For contributions: contributor name, employer, or committee name. For committees: committee name. For candidates: candidate name." }, "contributorFilter": { "title": "Filter by Field", "enum": [ "", "contributor_name", "contributor_employer", "contributor_occupation" ], "type": "string", "description": "(Contributions only) Which field to search within.", "default": "" }, "twoYearTransactionPeriod": { "title": "Election Cycle", "minimum": 2000, "maximum": 2028, "type": "integer", "description": "Two-year election cycle (e.g. 2026 for 2025-2026 cycle). Default: current cycle.", "default": 2026 }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of results to return (1-500).", "default": 100 }, "apiKey": { "title": "FEC API Key (optional)", "type": "string", "description": "Your data.gov API key for higher rate limits. Leave empty to use DEMO_KEY (limited to ~1K requests/day).", "default": "" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```