US Congress Stock Trades & Financial Disclosures Scraper

Track every stock and securities transaction reported by members of the US Congress — one clean row per trade, pulled straight from the official STOCK Act filings of all 435 House representatives and 100 senators. Each row carries the member, ticker, asset type, owner, trade direction, dollar-amount range, trade date, reported date, and a direct link back to the source filing. Built for retail investors, financial journalists, and compliance and research teams who need to follow congressional trading without manually downloading and decoding PDFs from two separate government portals.

Why This Scraper?

• Both chambers in one run — all 435 US House representatives and 100 US senators, pulled from the official House Clerk disclosure portal and the Senate Electronic Financial Disclosure (eFD) system. Set chamber to query one or both.
• One flat row per transaction — no nested arrays to unpack. Every trade line is its own record, ready to drop straight into a spreadsheet, database, or backtesting pipeline.
• Parsed amount bounds on every row — the official $1,001 - $15,000 style brackets come back as a clean amount_range string plus numeric amount_min and amount_max integers, so you can sort, sum, and filter by dollar size without regex.
• Decoded owner labels — every cryptic STOCK Act code is spelled out: Self, Spouse, Dependent Child, or Joint. No legend lookup required.
• Ticker plus asset type on every trade — the security symbol (AAPL, NVDA) and a human-readable asset-type label (Stock, Exchange Traded Fund (ETF), Corporate Bond, Cryptocurrency, Options, and 40+ more) decoded on each row.
• Decoded trade direction — Purchase, Sale, Sale (partial), or Exchange, normalized identically across House and Senate so a single transactionType filter works across both sources.
• Direct source-filing link per row — filing_url points to the exact House PTR PDF or Senate eFD report behind every transaction, with the filing and document IDs alongside for citation and audit.
• Opt-in OCR for pre-2014 scanned filings — older House disclosures filed as scanned paper images are read on demand via the includeScannedFilings toggle, unlocking historical depth back to 2012 most aggregators skip.
• Official first-party government data — sourced directly from House Clerk and Senate eFD, the authoritative STOCK Act record, not a third-party re-seller.

Use Cases

Retail Investing & Copy-Trading

• Mirror the disclosed trades of high-profile members like Pelosi or Tuberville
• Filter to a single ticker to see which members are buying or selling it
• Sort by amount_max to surface the largest disclosed positions
• Build watchlists from the most-traded congressional symbols

Financial Journalism

• Spot unusual trades around major legislation or committee hearings
• Cite the exact source filing with a direct link in every story
• Track a member's full trading history across a date range
• Compare buying versus selling activity ahead of market-moving votes

Compliance & Ethics Research

• Monitor disclosures for conflicts of interest by committee assignment
• Flag transactions where capital gains over $200 were reported
• Audit reporting lag between trade date and notification date
• Maintain an evidence trail with filing and document IDs

Quant & Alternative Data

• Feed structured congressional-trade signals into models
• Backtest strategies against historical disclosure data
• Aggregate trade volume by sector, ticker, or chamber
• Enrich existing datasets with politician-trading features

Academic Research

• Study political-economy questions on insider activity at scale
• Analyze owner breakdowns (self versus spouse versus joint) across Congress
• Measure disclosure-timing patterns across thousands of filings
• Build reproducible datasets sourced from the primary record

Getting Started

Most Recent Trades Across All of Congress

Leave everything blank to pull the latest disclosures from both chambers:

{
    "maxResults": 100
}

Follow One Member's Trades in a Ticker

{
    "lastName": "Pelosi",
    "chamber": "house",
    "stockSymbol": "NVDA",
    "maxResults": 50
}

Full Filtered Pull With Date Range and OCR

{
    "lastName": "Tuberville",
    "chamber": "senate",
    "transactionType": "purchase",
    "startDate": "2024-01-01",
    "endDate": "2024-12-31",
    "includeScannedFilings": true,
    "maxResults": 0
}

Input Reference

Who to Search

Parameter	Type	Default	Description
lastName	string	""	Filter to a member by last name, e.g. "Pelosi". Case-insensitive, matches partial names. Leave blank to include all members.
firstName	string	""	Optional first name to combine with the last name when several members share a surname (e.g. "Nancy" with "Pelosi"). Case-insensitive partial match.

Filters

Parameter	Type	Default	Description
stockSymbol	string	""	Only return transactions in this security, e.g. "AAPL" or "NVDA". Leave blank to include every asset.
chamber	string	"Both Chambers"	Which chamber to include: Both Chambers, House of Representatives, or Senate.
transactionType	string	"All Transactions"	Filter by trade direction: All Transactions, Purchases, Sales, or Exchanges.

Date Range

Parameter	Type	Default	Description
startDate	string	""	Earliest transaction date to include, in YYYY-MM-DD format (e.g. 2024-01-01). Leave blank for no lower limit.
endDate	string	""	Latest transaction date to include, in YYYY-MM-DD format. Leave blank for no upper limit.
dateReported	string	""	Return only filings reported (notified) on this exact date, in YYYY-MM-DD format. Use instead of a date range when you want a single reporting day.

Options

Parameter	Type	Default	Description
maxResults	integer	100	Maximum number of transactions to return. Set to 0 for unlimited. Tip: start with 10-50 to test, then increase.
includeScannedFilings	boolean	false	House filings from before roughly 2014 are scanned paper images. Turn this on to also read those older filings via text recognition. Senate and modern House filings are always read regardless of this setting.

Output

Each dataset item is a single congressional transaction. Example:

{
    "first_name": "Nancy",
    "last_name": "Pelosi",
    "chamber": "House",
    "state_district": "CA12",
    "owner": "SP",
    "owner_label": "Spouse",
    "asset": "NVIDIA Corporation",
    "ticker": "NVDA",
    "asset_type_code": "ST",
    "asset_type_label": "Stock",
    "transaction_type_code": "P",
    "transaction_type_label": "Purchase",
    "transaction_date": "2024-06-24",
    "notification_date": "2024-07-02",
    "amount_range": "$1,000,001 - $5,000,000",
    "amount_min": 1000001,
    "amount_max": 5000000,
    "capital_gains_over_200": null,
    "details": "Purchased 50 call options with a strike price of $80.",
    "transaction_id": "house-20026411-0",
    "filing_id": "20026411",
    "doc_id": "20026411",
    "year": 2024,
    "chamber_pdf_quality": "text",
    "filing_url": "https://disclosures-clerk.house.gov/public_disc/ptr-pdfs/2024/20026411.pdf",
    "scraped_at": "2026-06-10T14:32:05Z"
}

Member Fields

Field	Type	Description
first_name	string	Member's first name.
last_name	string	Member's last name.
chamber	string	"House" or "Senate".
state_district	string	State and district code for House members (e.g. "CA12"); blank for senators.

Transaction Fields

Field	Type	Description
owner	string	Raw owner code (SP, DC, JT, or blank for self).
owner_label	string	Decoded owner: Self, Spouse, Dependent Child, or Joint.
asset	string	Full asset name as filed (e.g. "NVIDIA Corporation").
ticker	string	Stock ticker symbol where present (e.g. "NVDA").
asset_type_code	string	Raw two-letter asset-type code (e.g. "ST").
asset_type_label	string	Decoded asset type (e.g. "Stock", "Exchange Traded Fund (ETF)").
transaction_type_code	string	Raw trade-direction code (P, S, E).
transaction_type_label	string	Decoded direction: Purchase, Sale, Sale (partial), or Exchange.
transaction_date	string	Date the trade occurred, in YYYY-MM-DD format.
notification_date	string	Date the trade was reported/notified, in YYYY-MM-DD format.
details	string	Any extra note filed with the transaction (e.g. a clarifying comment or sub-line detail), when present.

Amount Fields

Field	Type	Description
amount_range	string	Disclosed dollar bracket as text (e.g. "$1,000,001 - $5,000,000").
amount_min	integer	Lower bound of the amount bracket, as a number.
amount_max	integer	Upper bound of the amount bracket, as a number.
capital_gains_over_200	boolean	Whether capital gains over $200 were reported, when stated on the filing.

Source Fields

Field	Type	Description
transaction_id	string	Stable per-row identifier built from the chamber, document ID, and row position.
filing_id	string	Identifier of the source filing.
doc_id	string	Document identifier of the source filing.
year	integer	Filing year of the source disclosure.
chamber_pdf_quality	string	"text" for digitally filed disclosures, "image" for scanned filings read via text recognition.
filing_url	string	Direct link to the source House PTR PDF or Senate eFD report.
scraped_at	string	ISO-8601 timestamp of when the record was collected.

Tips for Best Results

• Set chamber to Senate for the freshest, fastest results — Senate e-filings are structured and parse instantly, while some older House filings are scanned images that need the OCR toggle.
• Leave includeScannedFilings off unless you specifically need pre-2014 House history — scanned filings take longer to read, and modern filings are always included either way.
• Combine lastName with firstName when a surname is shared (e.g. several Kellys in the House) to pin results to one person.
• Start with a small maxResults (10-50) to preview output, then set it to 0 for an unlimited full pull once your filters look right.
• Filter by stockSymbol to instantly see which members traded a specific company across both chambers.
• Remember that STOCK Act reporting runs 30-45 days behind the trade itself — a transaction's transaction_date will be well before its notification_date. Use dateReported to capture a single day's newly filed disclosures.
• Sort by amount_max to surface the largest disclosed positions first, since the official brackets only give a range rather than an exact figure.

Pricing

From $2.20 per 1,000 results — pay only for the transactions you collect, sourced directly from the primary government record. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$0.26	$0.245	$0.23	$0.22
1,000	$2.60	$2.45	$2.30	$2.20
10,000	$26.00	$24.50	$23.00	$22.00
100,000	$260.00	$245.00	$230.00	$220.00

A "result" is one congressional transaction row. Platform usage fees are additional.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new disclosures
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

Congressional financial disclosures are public records, published by the US House Clerk and the US Senate under the Stop Trading on Congressional Knowledge (STOCK) Act of 2012. This actor collects only that publicly available filing data for research, journalism, and transparency purposes. You are responsible for using the data in compliance with the source portals' terms and all applicable laws. Do not use the data to harass individuals or for any unlawful purpose.