Us Congress Trades MCP server

🏛️ Congress Trading API: US Congressional Stock Trades and Disclosures in Clean JSON

The most efficient, reliable, and developer-friendly way to use the Congress Trading API.

Actor page: apify.com/johnvc/us-congress-financial-disclosures-and-stock-trading-data Input schema: apify.com/johnvc/us-congress-financial-disclosures-and-stock-trading-data/input-schema

The Congress Trading API returns US Congressional Periodic Transaction Reports (PTRs) as clean, structured JSON. Each row is one disclosed transaction: the member name and chamber, state and district, asset and ticker, transaction type, reported amount range, transaction and notification dates, ownership, and filing IDs. Filter by member name, ticker, an exact date, or a date range. Data is normalized from official US House and Senate financial disclosure filings under the STOCK Act.

Video Walkthrough

Quick Start

Prerequisites

• Python 3.11 or higher
• An Apify account and API key (get a free key here)

1. Clone the repository

git clone https://github.com/johnisanerd/Apify-Congressional-Trading-Data-Scraper.git
   cd Apify-Congressional-Trading-Data-Scraper

1. Install dependencies with UV

# Install UV if you do not have it:
   curl -LsSf https://astral.sh/uv/install.sh | sh

   # Install project dependencies:
   uv sync

1. Configure your API key

cp .env.example .env
   # Edit .env and add your Apify API key
   # Get your free API key at: https://apify.com?fpr=9n7kx3

1. Run the example

uv run python congress-stock-trades-scraper.py

Alternative: set the API key directly

export APIFY_API_TOKEN="your_api_key_here"
uv run python congress-stock-trades-scraper.py

Why Use This Congress Trading API?

Both chambers, one schema. House and Senate Periodic Transaction Reports are normalized into a single, queryable shape, so you analyze all of Congress with one parser instead of two filing systems.

Powerful filters. Narrow by member first or last name, by stock ticker, by an exact transaction date, or by a date range. Combine them to answer questions like "every NVDA trade this member made in 2024."

Audit-ready structured JSON. One row per transaction, with the reported amount range exactly as filed, plus filing and document IDs and per-run search metadata for traceable, reproducible pulls.

Predictable, pay-per-use pricing. Billing is per run plus per transaction returned, with no monthly rental. You control cost directly with Max_Results.

Easy to automate. Call it from Python in a few lines, or load it as an MCP tool so assistants like Claude and Cursor can pull Congressional trades for you on demand.

Features

Core Capabilities

• Filter by member, ticker, or date (exact date or range)
• Both chambers: House and Senate filings in one dataset
• Asset types including stock, options, ETF, mutual fund, bond, and crypto
• Ownership attribution for member, spouse, dependent child, or joint holdings
• Pre-built dataset views for purchases, sales, options trades, and stock trades

Data Quality

• One row per PTR transaction with member, chamber, asset, ticker, type, amount range, and dates
• Amount ranges exactly as filed (members report brackets, not exact values)
• Filing and document IDs for tracing back to the source disclosure
• Per-run search metadata (timestamp, query timing, result count) for audit trails
• Normalized from official US House Clerk and Senate eFD filings under the STOCK Act

Shortened. The full README is on GitHub.