Congress Financial Disclosures & Stock Trades API

Scrape US Congressional financial disclosures and stock trades by member name, ticker symbol, or date range. This Apify Actor returns Periodic Transaction Reports (PTRs) from the House and Senate as a clean, queryable dataset with member, asset, amount range, transaction type, and filing IDs - the most comprehensive Congress trading dataset on Apify, used by journalists, compliance teams, and quantitative researchers tracking conflict-of-interest patterns under the STOCK Act.

What you get

• Every transaction returned with member name, chamber, state/district, ticker, asset, transaction type, amount range, transaction date, and reported date
• Filterable by member name, exact filing date, date range, or stock ticker
• Output as JSON in the Apify dataset - one row per PTR transaction line
• Pre-built dataset views for Purchases, Sales, Options trades, and Stock trades
• Echoed search metadata on every row (timestamp, query timing, result count) for audit trails

Use cases

• Investigative journalism - track unusual trades around legislative events or hearings
• Conflict-of-interest research - map a member's holdings against committees they sit on
• Quant / signal research - build features from Congress trade timing and direction
• Compliance & ESG - monitor exposure of public funds and pensioners to insider patterns
• Civic transparency dashboards - power public-facing "who traded what, when" widgets

Input parameters

All parameters are optional. Run with no input to get the most recent transactions.

Parameter	Type	Required	Default	Description
First_Name	string	No	-	First name of the member (case-insensitive partial match)
Last_Name	string	No	-	Last name of the member (case-insensitive partial match)
Date_Reported	string	No	-	Exact transaction date, YYYY-MM-DD
Start_Date	string	No	-	Earliest transaction date (inclusive), YYYY-MM-DD
End_Date	string	No	-	Latest transaction date (inclusive), YYYY-MM-DD
Stock_Symbol	string	No	-	Ticker filter (e.g. AAPL, MSFT, NVDA)
Max_Results	integer	No	100	Cap on results returned, 1-1000

Examples

Find every Pelosi trade in 2024:

{
  "First_Name": "Nancy",
  "Last_Name": "Pelosi",
  "Start_Date": "2024-01-01",
  "End_Date": "2024-12-31",
  "Max_Results": 500
}

Every Congress member who traded AAPL:

{
  "Stock_Symbol": "AAPL",
  "Max_Results": 200
}

Most recent disclosures across all members:

{
  "Max_Results": 50
}

Example output

One transaction returned as a single dataset row:

{
  "id": "3b454411-9bfb-5545-8568-b14e596503e3",
  "Owner": "SP",
  "Asset": "Palo Alto Networks, Inc. (PANW)",
  "Ticker": "PANW",
  "Asset_Type_Code": "OP",
  "Transaction_Type": "P",
  "Date": "2024-02-21",
  "Notification_Date": "2024-02-21",
  "Amount_Range": "$100,001 - $250,000",
  "Capital_Gains_Over_200": "No",
  "Details": "Purchased 20 call options with a strike price of $200 and an expiration date of 1/17/25.",
  "First_Name": "Nancy",
  "Last_Name": "Pelosi",
  "State_District": "CA11",
  "House": "House",
  "Filing_ID": "20024542",
  "DocID": "20024542",
  "Year": "2024",
  "PDF_Quality": "text",
  "created_at": "2025-09-04T13:08:13.253936+00:00",
  "search_metadata": {
    "last_name": "Pelosi",
    "max_results": 100,
    "search_timestamp": "2025-09-05T11:08:47.827456",
    "total_results_found": 10,
    "query_execution_time": 5.30
  }
}

Field reference

Field	Meaning
Transaction_Type	P = purchase, S = sale, S (partial) = partial sale, E = exchange
Asset_Type_Code	ST stock, OP options, MF mutual fund, BD bond, ET ETF, CT crypto
Owner	SP spouse, DC dependent child, JT joint, blank = the member themselves
Amount_Range	Reporting bracket, e.g. $1,001 - $15,000. Members report ranges, not exact values
House	House or Senate
PDF_Quality	text (machine-readable filing) or image (OCR-required filing)

Pricing

Pay-per-event - you only pay for what you pull.

Event	Rate
Run initiation	$0.005 per run
Transaction returned	$0.0025 per row

Typical run cost: pulling 100 Pelosi transactions = $0.005 + 100 x $0.0025 = $0.255. Pulling all 2024 AAPL trades across Congress (~30 rows) = $0.005 + 30 x $0.0025 = $0.08.

Quickstart

1. Open the Actor on the Apify Store and click Try for free.
2. Fill in any filters you want (or none, for latest activity).
3. Hit Start and watch the run page - results stream into the dataset.
4. Export as JSON, CSV, or Excel from the Output tab.

Via the API

curl -X POST "https://api.apify.com/v2/acts/johnvc~us-congress-financial-disclosures-and-stock-trading-data/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"Last_Name":"Pelosi","Start_Date":"2024-01-01","End_Date":"2024-12-31","Max_Results":100}'

Via MCP (Claude, Cursor, VS Code, etc.)

This Actor is discoverable through the Apify MCP server. Connect any MCP-capable client to https://mcp.apify.com and ask: "find Congress stock trades for Nancy Pelosi in 2024" - the agent will discover and invoke this Actor automatically.

FAQ

Q: Where does the data come from? A: US Congressional Periodic Transaction Reports filed under the STOCK Act. The Actor normalizes filings from the House Clerk and the Senate eFD into one schema.

Q: Why is the amount a range, not an exact value? A: Members are only required to report amounts in brackets ($1,001-$15,000, $15,001-$50,000, etc.). The Actor returns the bracket exactly as filed.

Q: Why are some Tickers blank? A: Not every disclosed asset is publicly listed (e.g. private partnerships, real estate, treasuries). Filter on Asset_Type_Code = ST if you want stock-only rows.

Q: How fresh is the data? A: Filings are pulled on a rolling schedule. PTRs have a 30-45 day reporting deadline, so the dataset trails real trades by that much by design.

Q: How do I get only purchases or only sales? A: Use the pre-built Output views (Purchases, Sales, Options Transactions, Stock Transactions) - they're just dataset filters on Transaction_Type and Asset_Type_Code.

Q: Do you cover both the House and the Senate? A: Yes. Each row's House field is House or Senate.

Links

• Actor on the Apify Store
• Apify MCP integration docs
• STOCK Act background (US House Ethics)

Last Updated: 2026.05.11