# FEC Campaign Finance Scraper (`foo121/fec-campaign-finance-scraper`) Actor Export US federal campaign-finance contributions (individual donations) by state, committee, employer, occupation, cycle and amount from the official OpenFEC API. - **URL**: https://apify.com/foo121/fec-campaign-finance-scraper.md - **Developed by:** [ziv shay](https://apify.com/foo121) (community) - **Categories:** News, Lead generation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $4.00 / 1,000 result items 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ## FEC Campaign Finance Scraper **FEC campaign finance data and campaign donations scraper — pull political donor data from the official OpenFEC API, sorted biggest-donors-first, with donor, employer, and occupation filtering.** Built for journalists, opposition researchers, compliance teams, and political data teams who need structured individual-contribution records without hand-querying fec.gov page by page. The actor reads the **official OpenFEC API** (37M+ individual-contribution records) and returns results sorted by amount descending, so the largest donors surface first. **Bring your own free key.** OpenFEC works with the built-in `DEMO_KEY`, but it's heavily rate-limited and redacts some date fields. Grab a free key at api.data.gov (takes a minute) and pass it as `apiKey` for full speed and complete records. ### What you get | Field | Description | | --- | --- | | `contributorName` | Name of the individual contributor | | `amount` | Contribution amount in USD (number) | | `date` | Date the contribution was received | | `contributorState` | Contributor's state | | `contributorCity` | Contributor's city | | `contributorZip` | Contributor's ZIP code | | `employer` | Contributor's reported employer | | `occupation` | Contributor's reported occupation | | `committeeName` | Receiving committee name | | `committeeId` | FEC committee ID | | `candidateName` | Associated candidate name | | `candidateOffice` | Office sought (H/S/P) | | `receiptType` | FEC receipt type code | | `transactionId` | Unique transaction ID | | `url` | Link to the record on fec.gov | ### Input | Field | Type | Default | Description | | --- | --- | --- | --- | | `apiKey` | string | — | Your free api.data.gov key (recommended; `DEMO_KEY` used if blank) | | `cycle` | integer | `2024` | Two-year election cycle to query | | `contributorState` | string | — | Filter by contributor state, e.g. `CA` | | `committeeId` | string | — | Filter by FEC committee ID | | `contributorName` | string | — | Filter by contributor name | | `contributorEmployer` | string | — | Filter by reported employer | | `minAmount` | number | — | Only return contributions at or above this amount | | `maxItems` | integer | `1000` | Maximum number of records to return | #### Example input ```json { "apiKey": "YOUR_FREE_KEY", "cycle": 2024, "contributorState": "CA", "contributorEmployer": "Google", "minAmount": 1000, "maxItems": 500 } ```` ### Example run output ```json { "contributorName": "SMITH, JANE", "amount": 3300, "date": "2024-03-18", "contributorState": "CA", "contributorCity": "Mountain View", "contributorZip": "94043", "employer": "Google", "occupation": "Software Engineer", "committeeName": "EXAMPLE FOR CONGRESS", "committeeId": "C00123456", "candidateName": "DOE, JOHN", "candidateOffice": "H", "receiptType": "15", "transactionId": "SA11AI.123456", "url": "https://www.fec.gov/data/receipts/?transaction_id=SA11AI.123456" } ``` ### Use cases - **Journalists** tracing who funds a candidate, sorted biggest-donors-first for fast lede-finding. - **Opposition researchers** filtering political donor data by employer, occupation, and state. - **Compliance teams** auditing contributions tied to a specific committee or cycle. - **Political data teams** ingesting structured FEC campaign finance data into models instead of scraping fec.gov by hand. ### Pricing Pay per result — billed only for the contribution records returned, no subscription. ### Keywords FEC campaign finance data, campaign donations scraper, political donor data, OpenFEC API scraper, individual contributions data, political contributions scraper, donor employer occupation data, fec.gov scraper # Actor input Schema ## `apiKey` (type: `string`): Your free OpenFEC API key from https://api.open.fec.gov/developers/. Leave empty to use the shared DEMO\_KEY (heavily rate-limited; get your own free key for real runs). ## `cycle` (type: `integer`): Even-numbered election cycle year, e.g. 2024 covers 2023-2024 contributions. Required by the OpenFEC contributions endpoint. ## `contributorState` (type: `string`): Optional two-letter US state of the donor (e.g. CA, TX, NY). ## `committeeId` (type: `string`): Optional FEC committee ID receiving the contributions (e.g. C00401224). Find IDs at fec.gov. ## `contributorName` (type: `string`): Optional donor name search (e.g. SMITH). ## `contributorEmployer` (type: `string`): Optional donor employer filter (e.g. GOOGLE). ## `minAmount` (type: `integer`): Optional minimum contribution amount in USD. ## `maxItems` (type: `integer`): Maximum number of contribution records to output. ## Actor input object example ```json { "cycle": 2024, "maxItems": 1000 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("foo121/fec-campaign-finance-scraper").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 = {} # Run the Actor and wait for it to finish run = client.actor("foo121/fec-campaign-finance-scraper").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 '{}' | apify call foo121/fec-campaign-finance-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=foo121/fec-campaign-finance-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FEC Campaign Finance Scraper", "description": "Export US federal campaign-finance contributions (individual donations) by state, committee, employer, occupation, cycle and amount from the official OpenFEC API.", "version": "1.0", "x-build-id": "pq9S9KC47Q0Nq5Lyy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/foo121~fec-campaign-finance-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-foo121-fec-campaign-finance-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/foo121~fec-campaign-finance-scraper/runs": { "post": { "operationId": "runs-sync-foo121-fec-campaign-finance-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/foo121~fec-campaign-finance-scraper/run-sync": { "post": { "operationId": "run-sync-foo121-fec-campaign-finance-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "apiKey": { "title": "OpenFEC API key", "type": "string", "description": "Your free OpenFEC API key from https://api.open.fec.gov/developers/. Leave empty to use the shared DEMO_KEY (heavily rate-limited; get your own free key for real runs)." }, "cycle": { "title": "Two-year transaction period (cycle)", "type": "integer", "description": "Even-numbered election cycle year, e.g. 2024 covers 2023-2024 contributions. Required by the OpenFEC contributions endpoint.", "default": 2024 }, "contributorState": { "title": "Contributor state", "type": "string", "description": "Optional two-letter US state of the donor (e.g. CA, TX, NY)." }, "committeeId": { "title": "Recipient committee ID", "type": "string", "description": "Optional FEC committee ID receiving the contributions (e.g. C00401224). Find IDs at fec.gov." }, "contributorName": { "title": "Contributor name", "type": "string", "description": "Optional donor name search (e.g. SMITH)." }, "contributorEmployer": { "title": "Contributor employer", "type": "string", "description": "Optional donor employer filter (e.g. GOOGLE)." }, "minAmount": { "title": "Minimum amount", "type": "integer", "description": "Optional minimum contribution amount in USD." }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 500000, "type": "integer", "description": "Maximum number of contribution records to output.", "default": 1000 } } }, "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 } } } } } } } } } } ```