Congress Stock Trades Scraper

hipersoft/congress-trades-scraper

Scrape U.S. Congress members' stock trades & financial disclosures: member, ticker, buy/sell, amount range and dates. One clean row per trade or filing as JSON, CSV or Excel.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per item scraped

$0.003

Last rebuilt

Oct 26, 2026

Overview

Track U.S. Congress members' stock trades and financial disclosures and export clean, structured data. Get one tidy row per trade — member, ticker, buy or sell, amount range, and dates — or one row per filing, as JSON, CSV or Excel.

Perfect for investors, journalists, researchers, fintech builders and anyone who wants to follow congressional trading activity without copy-pasting from documents.

What you can scrape

Individual trades — every reported stock transaction: the member who traded, the asset and its ticker, whether it was a purchase, sale or exchange, the disclosed amount range, the transaction date and the notification date.
Disclosure filings — the full index of financial-disclosure filings: member, state and district, filing type, filing date and a direct link to the source document.
Filter by member — narrow any run to a single representative by last name.
Multiple years — pull one year or several in a single run.

Modes

Pick a mode in the input:

Mode	What it does
`transactions`	One row per individual trade, with member, ticker, buy/sell, amount range and dates.
`filings`	One row per disclosure filing from the index (faster, no per-trade breakdown).

Example input

Latest congressional stock trades:

{
  "mode": "transactions",
  "years": [2025],
  "maxItems": 200
}

Every filing for one member:

{
  "mode": "filings",
  "years": [2025],
  "member": "Greene",
  "filingTypes": ["all"]
}

Example output (a single trade)

{
  "memberName": "Hon. Marjorie Taylor Greene",
  "state": "GA",
  "district": "14",
  "filingTypeLabel": "Periodic Transaction Report",
  "filingDate": "2/24/2025",
  "docId": "20026791",
  "owner": null,
  "assetName": "Apple Inc. - Common Stock",
  "ticker": "AAPL",
  "assetTypeCode": "ST",
  "transactionType": "Purchase",
  "transactionDate": "02/12/2025",
  "notificationDate": "02/13/2025",
  "amountRange": "$1,001 - $15,000",
  "amountMin": 1001,
  "amountMax": 15000,
  "capitalGainsOver200": null,
  "pdfUrl": "https://disclosures-clerk.house.gov/public_disc/ptr-pdfs/2025/20026791.pdf"
}

Input reference

Field	Type	Description
`mode`	string	`transactions` (one row per trade) or `filings` (one row per disclosure).
`years`	array	Which disclosure years to collect, e.g. `[2025]` or `[2025, 2024]`.
`filingTypes`	array	Filing types to include. `["P"]` = the stock-trade reports (default). Use `["all"]` for every type.
`member`	string	Optional. Only include filings whose member last name contains this text.
`maxItems`	integer	Max rows to collect (0 = no limit).

Output & export

Every run writes to a dataset you can download as JSON, CSV, Excel, XML or RSS, or pull through the Apify API. Each row is flat and typed, includes the member and a link to the underlying document, and numeric amountMin / amountMax fields make the disclosed value ranges easy to sort and filter.

Use cases

Investing signals — watch what senators and representatives are buying and selling.
Newsrooms — surface notable trades by member, ticker or date for reporting.
Research & compliance — build datasets on congressional trading trends over time.
Alerts & dashboards — feed a spreadsheet, database or BI tool on a schedule.

FAQ

What data do I get? Individual congressional stock trades (member, ticker, buy/sell, amount range, dates) or the full list of disclosure filings.

Can I follow one member? Yes — set member to their last name.

Can I collect several years at once? Yes — list them in years.

What formats can I export? JSON, CSV, Excel, XML and RSS, plus the Apify API and integrations.

How do I limit results? Set maxItems. Use 0 to collect everything the run returns.

Input

Field	Type	Description
`mode` What to collect	string · transactions, filings	transactions = one row per individual stock trade (parsed from Periodic Transaction Reports). filings = one row per disclosure filing from the index (faster, no trade breakdown). Default: `"transactions"`
`years` Years	array	Which disclosure years to collect (e.g. 2025, 2024). Default: `[2025]`
`filingTypes` Filing types	array	Which filing types to include. "P" = Periodic Transaction Reports (the stock trades). Use ["all"] to include every filing type. Default: `["P"]`
`member` Member last name (optional)	string	Only include filings whose member last name contains this text (case-insensitive). Leave empty for all members.
`maxItems` Max items	integer	Maximum number of rows to collect in this run (0 = no limit). Default: `200`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~congress-trades-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "years": [
    "2025"
  ],
  "filingTypes": [
    "P"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/congress-trades-scraper").call(run_input={
    "years": [
        "2025"
    ],
    "filingTypes": [
        "P"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/congress-trades-scraper').call({
  "years": [
    "2025"
  ],
  "filingTypes": [
    "P"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Item scraped Charged for each trade or filing row added to your dataset.	$0.003	$0.0015

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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