# Congress Trades API (`russet_flea/congress-trades-api`) Actor Export U.S. House and Senate STOCK Act disclosures by ticker, member, chamber, transaction type, and date into structured datasets. - **URL**: https://apify.com/russet\_flea/congress-trades-api.md - **Developed by:** [Ankur Arora](https://apify.com/russet_flea) (community) - **Categories:** Business, News - **Stats:** 2 total users, 1 monthly users, 85.7% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Congress Trades API Export U.S. House and Senate stock-trade disclosures into an Apify dataset. Filter official STOCK Act Periodic Transaction Reports by ticker, member, chamber, transaction type, and transaction date, then download the results as JSON, CSV, Excel, XML, or RSS. Data is provided by the [Bargo Congress Trades API](https://www.bargo.ai/free-apis/congress), a focused REST and MCP service built from official House Clerk and Senate eFD disclosures. This is an independent, unofficial data service. It is not affiliated with or endorsed by the U.S. House of Representatives, the U.S. Senate, or any member of Congress. ### What this Actor returns Each dataset row can include: - Member, chamber, state, and party - Ticker and asset description - Purchase, sale, or exchange classification - Disclosed transaction-value range - Transaction and disclosure dates - Estimated transaction price and latest tracked price - Performance since the disclosed transaction, when available ### Input | Field | Description | Default | | --- | --- | --- | | `ticker` | One stock symbol such as `NVDA` | All tickers | | `member` | Partial member-name match such as `Pelosi` | All members | | `chamber` | `all`, `house`, or `senate` | `all` | | `transactionType` | `all`, `purchase`, `sale`, or `exchange` | `all` | | `fromDate` | Earliest transaction date (`YYYY-MM-DD`) | No lower bound | | `toDate` | Latest transaction date (`YYYY-MM-DD`) | No upper bound | | `maxItems` | Maximum dataset rows, up to 1,000 | `500` | Example: ```json { "ticker": "NVDA", "chamber": "all", "transactionType": "purchase", "fromDate": "2026-01-01", "maxItems": 500 } ```` ### Important timing caveat This is disclosure data, not a real-time trade feed. Members of Congress may report securities transactions weeks after execution, with a legal reporting window of up to approximately 45 days. Use `disclosure_date` to track newly filed reports and `transaction_date` to understand when the reported transaction occurred. ### API and data provenance The Actor calls Bargo's Congress Trades API. The canonical REST endpoint is `GET https://www.bargo.ai/free-apis/congress/v1/trades`; Actor runs use Bargo's direct Cloudflare Worker route for reliable server-to-server access. Bargo normalizes U.S. House and Senate Periodic Transaction Reports, maps symbols where possible, and calculates optional price-performance fields. Missing values are omitted rather than estimated. Every output row includes a visible link to the Bargo source page and the relevant official House or Senate filing portal. This Actor is read-only and does not place trades. The data is informational and is not investment advice. ### Privacy The Actor requires no credentials. Input filters and output rows are stored in the Apify run's standard storages according to the retention and access settings on your Apify account. # Actor input Schema ## `ticker` (type: `string`): Optional stock symbol, for example NVDA. Leave empty for all tickers. ## `member` (type: `string`): Optional partial name match, for example Pelosi or Tuberville. ## `chamber` (type: `string`): Return disclosures from both chambers, the House, or the Senate. ## `transactionType` (type: `string`): Filter purchases, sales, exchanges, or return every transaction type. ## `fromDate` (type: `string`): Optional earliest transaction date in YYYY-MM-DD format. ## `toDate` (type: `string`): Optional latest transaction date in YYYY-MM-DD format. ## `maxItems` (type: `integer`): Maximum number of disclosure rows to save to the dataset. ## Actor input object example ```json { "ticker": "", "member": "", "chamber": "all", "transactionType": "all", "fromDate": "", "toDate": "", "maxItems": 500 } ``` # Actor output Schema ## `results` (type: `string`): Matching U.S. House and Senate securities transactions. # 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("russet_flea/congress-trades-api").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("russet_flea/congress-trades-api").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 russet_flea/congress-trades-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=russet_flea/congress-trades-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Congress Trades API", "description": "Export U.S. House and Senate STOCK Act disclosures by ticker, member, chamber, transaction type, and date into structured datasets.", "version": "0.1", "x-build-id": "hvZunMyLCbg6Kb25p" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/russet_flea~congress-trades-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-russet_flea-congress-trades-api", "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/russet_flea~congress-trades-api/runs": { "post": { "operationId": "runs-sync-russet_flea-congress-trades-api", "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/russet_flea~congress-trades-api/run-sync": { "post": { "operationId": "run-sync-russet_flea-congress-trades-api", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "ticker": { "title": "Stock ticker", "type": "string", "description": "Optional stock symbol, for example NVDA. Leave empty for all tickers.", "default": "" }, "member": { "title": "Member of Congress", "type": "string", "description": "Optional partial name match, for example Pelosi or Tuberville.", "default": "" }, "chamber": { "title": "Chamber", "enum": [ "all", "house", "senate" ], "type": "string", "description": "Return disclosures from both chambers, the House, or the Senate.", "default": "all" }, "transactionType": { "title": "Transaction type", "enum": [ "all", "purchase", "sale", "exchange" ], "type": "string", "description": "Filter purchases, sales, exchanges, or return every transaction type.", "default": "all" }, "fromDate": { "title": "Transaction date from", "pattern": "^$|^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Optional earliest transaction date in YYYY-MM-DD format.", "default": "" }, "toDate": { "title": "Transaction date to", "pattern": "^$|^\\d{4}-\\d{2}-\\d{2}$", "type": "string", "description": "Optional latest transaction date in YYYY-MM-DD format.", "default": "" }, "maxItems": { "title": "Maximum results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of disclosure rows to save to the dataset.", "default": 500 } } }, "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 } } } } } } } } } } ```