FEC Electronic Filing Parser
Pricing
Pay per event
FEC Electronic Filing Parser
Parse public FEC electronic filing CSVs into filing summaries and schedule-level JSON rows for campaign-finance research.
FEC Electronic Filing Parser
Pricing
Pay per event
Parse public FEC electronic filing CSVs into filing summaries and schedule-level JSON rows for campaign-finance research.
You can access the FEC Electronic Filing Parser programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.1", "x-build-id": "sAvGkQQUXZ8aMFKxg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~fec-electronic-filing-parser/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-fec-electronic-filing-parser", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automation-lab~fec-electronic-filing-parser/runs": { "post": { "operationId": "runs-sync-automation-lab-fec-electronic-filing-parser", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automation-lab~fec-electronic-filing-parser/run-sync": { "post": { "operationId": "run-sync-automation-lab-fec-electronic-filing-parser", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "filingIds": { "title": "FEC filing IDs", "type": "array", "description": "Optional exact filing IDs to parse. Use values like FEC-870444 or 870444. If omitted, the actor searches filings with the filters below.", "items": { "type": "string" } }, "committeeIds": { "title": "Committee IDs", "type": "array", "description": "Optional FEC committee IDs to search, such as C00465880. Used when filingIds is empty or when you want additional filings.", "items": { "type": "string" } }, "formTypes": { "title": "Form types", "type": "array", "description": "Optional FEC form types to search, such as F3, F3X, F24, F5, or F99.", "items": { "type": "string" } }, "reportYear": { "title": "Report year", "minimum": 1975, "maximum": 2100, "type": "integer", "description": "Optional report year filter for OpenFEC filing search." }, "minDate": { "title": "Minimum receipt date", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Optional lower bound for OpenFEC receipt date search, formatted YYYY-MM-DD." }, "maxDate": { "title": "Maximum receipt date", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Optional upper bound for OpenFEC receipt date search, formatted YYYY-MM-DD." }, "maxFilings": { "title": "Maximum filings", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of filing CSV files to download and parse.", "default": 3 }, "maxItems": { "title": "Maximum dataset items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum filing summaries and parsed CSV rows to emit across all filings.", "default": 20 }, "includeFilingSummaries": { "title": "Include filing summary rows", "type": "boolean", "description": "Emit one metadata summary item per filing before parsed schedule rows.", "default": true }, "includeRawRows": { "title": "Include raw CSV arrays", "type": "boolean", "description": "Include the original CSV field array on each schedule row. Disable for smaller exports.", "default": false }, "apiKey": { "title": "OpenFEC API key", "type": "string", "description": "Optional OpenFEC API key. Leave blank to use DEMO_KEY for small runs; provide your own key for larger production runs." } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for FEC Electronic Filing Parser from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: