# US Lobbying Disclosures Search (`agentictools/lobbying-disclosures-search`) Actor Search US Senate lobbying disclosure filings by client, registrant, or year. Income, expenses, issues, and lobbyist names from the official LDA database. - **URL**: https://apify.com/agentictools/lobbying-disclosures-search.md - **Developed by:** [Ken Agland](https://apify.com/agentictools) (community) - **Categories:** Business, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 1,000 filing returneds 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 ## US Lobbying Disclosures Search Search US Senate lobbying disclosure filings by client, registrant, or year. Income, expenses, issues, and lobbyist names from the official LDA database. ### What it does - Searches the official US Senate Lobbying Disclosure Act (LDA) filing database. No API key needed. - Filter by client (who hired the lobbyists), registrant (the lobbying firm), and filing year. Names match partially. - Returns clean, flat records with income, expenses, lobbying issue areas, and individual lobbyist names. - Writes an aggregate run summary (total income, total expenses, issue breakdown) to the OUTPUT key-value store record. ### Input | Field | Type | Description | |---|---|---| | `clientName` | string | Company or organization that hired the lobbyists (for example "google", "openai"). Partial names match. | | `registrantName` | string | Lobbying firm that filed the disclosure (for example "akin gump"). Partial names match. | | `filingYear` | integer | Only include filings from this year (for example 2025). | | `maxItems` | integer | How many filings to return, 1 to 200. Default 25. | Provide at least one of `clientName`, `registrantName`, or `filingYear`. Example: ```json { "clientName": "openai", "filingYear": 2025, "maxItems": 25 } ```` ### Output Each dataset item is one filing: ```json { "filingUuid": "3b53980f-bada-4f50-8f05-47630767aaff", "filingType": "1st Quarter - Report", "year": 2025, "period": "1st Quarter (Jan 1 - Mar 31)", "client": "OPENAI OPCO, LLC", "clientState": "California", "clientDescription": "Artificial intelligence research and deployment.", "registrant": "AKIN GUMP STRAUSS HAUER & FELD", "income": 80000, "expenses": null, "issues": ["Computer Industry"], "lobbyists": ["CASEY HIGGINS", "ED PAGANO", "HANS RICKHOFF", "REGINALD BABIN", "GORDON BATES"], "activitiesCount": 1, "documentUrl": "https://lda.senate.gov/filings/public/filing/3b53980f-bada-4f50-8f05-47630767aaff/print/", "postedDate": "2025-04-21T10:51:02-04:00" } ``` `income` is what the registrant was paid by the client. `expenses` is what an organization lobbying on its own behalf spent. One of the two is usually null. ### Pricing Pay per result, plus standard Apify platform usage. ### Data source The official US Senate Lobbying Disclosure Act database at lda.senate.gov (`/api/v1/filings/`). Anonymous access is limited to 15 requests per minute at 25 filings per page, so the Actor pauses between pages. Larger `maxItems` values take proportionally longer. # Actor input Schema ## `clientName` (type: `string`): Company or organization that hired the lobbyists (for example "google", "openai", "pfizer"). Partial names match. Leave empty to filter by registrant or year only. ## `registrantName` (type: `string`): Lobbying firm or organization that filed the disclosure (for example "akin gump", "brownstein"). Partial names match. Leave empty to filter by client or year only. ## `filingYear` (type: `integer`): Only include filings from this year (for example 2025). Leave empty for all years. ## `maxItems` (type: `integer`): How many filings to return, up to 200. The Senate API allows 15 anonymous requests per minute at 25 filings per page, so larger runs pause between pages and take longer. ## Actor input object example ```json { "clientName": "google", "registrantName": "akin gump", "filingYear": 2025, "maxItems": 25 } ``` # 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 = { "clientName": "openai", "filingYear": 2025 }; // Run the Actor and wait for it to finish const run = await client.actor("agentictools/lobbying-disclosures-search").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 = { "clientName": "openai", "filingYear": 2025, } # Run the Actor and wait for it to finish run = client.actor("agentictools/lobbying-disclosures-search").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 '{ "clientName": "openai", "filingYear": 2025 }' | apify call agentictools/lobbying-disclosures-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agentictools/lobbying-disclosures-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "US Lobbying Disclosures Search", "description": "Search US Senate lobbying disclosure filings by client, registrant, or year. Income, expenses, issues, and lobbyist names from the official LDA database.", "version": "0.1", "x-build-id": "eQUyIWhLIXl9zdxhU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agentictools~lobbying-disclosures-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agentictools-lobbying-disclosures-search", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/agentictools~lobbying-disclosures-search/runs": { "post": { "operationId": "runs-sync-agentictools-lobbying-disclosures-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/agentictools~lobbying-disclosures-search/run-sync": { "post": { "operationId": "run-sync-agentictools-lobbying-disclosures-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "clientName": { "title": "Client name", "type": "string", "description": "Company or organization that hired the lobbyists (for example \"google\", \"openai\", \"pfizer\"). Partial names match. Leave empty to filter by registrant or year only." }, "registrantName": { "title": "Registrant name", "type": "string", "description": "Lobbying firm or organization that filed the disclosure (for example \"akin gump\", \"brownstein\"). Partial names match. Leave empty to filter by client or year only." }, "filingYear": { "title": "Filing year", "minimum": 1999, "maximum": 2100, "type": "integer", "description": "Only include filings from this year (for example 2025). Leave empty for all years." }, "maxItems": { "title": "Maximum items", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many filings to return, up to 200. The Senate API allows 15 anonymous requests per minute at 25 filings per page, so larger runs pause between pages and take longer.", "default": 25 } } }, "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 } } } } } } } } } } ```