US Congress & Senate STOCK Act Trade Disclosures Scraper avatar

US Congress & Senate STOCK Act Trade Disclosures Scraper

Pricing

from $2.80 / 1,000 item scrapeds

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US Congress & Senate STOCK Act Trade Disclosures Scraper

US Congress & Senate STOCK Act Trade Disclosures Scraper

Extract real-time US Congress and Senate stock and option trades filed under the STOCK Act with normalized tickers, trade amounts, and filing dates.

Pricing

from $2.80 / 1,000 item scrapeds

Rating

0.0

(0)

Developer

LiteZero

LiteZero

Maintained by Community

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0

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2

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1

Monthly active users

a day ago

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🏛️ US Congress & Senate STOCK Act Trade Disclosures Scraper

Apify

Extract real-time US Congress and Senate stock and option trades filed under the STOCK Act with normalized tickers, trade amounts, and filing dates.


🥊 Why This Actor Beats the Competition

FeatureTillzero ActorStandard Web Scrapers / Legacy Bots
Speed & Throughput⚡ Direct API & high-throughput streams (sub-5s runs)🐢 Heavy browser Puppeteer overhead (45s+ per query)
Pricing Transparency💰 Pay-Per-Result ($4.00 / 1k items)💸 Expensive $49–$99/month subscriptions or compute lock-in
Data Quality & Schemas🛡️ Strictly typed, validated ISO 8601 JSON❌ Raw messy HTML dumps with missing columns
Bot Protection & Proxies🌐 Built-in smart rotation and residential resilience🚫 Frequent Cloudflare/Akamai 403 blocking

🛠️ Step-by-Step: How to Use

Method 1: Apify Web Console

  1. Navigate to the Actor page in the Apify Store.
  2. Configure your search parameters in the intuitive Web UI.
  3. Click Start to run the scraper and export results to CSV, Excel, or JSON.

Method 2: Python SDK

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("litezero/congress-stock-trades-scraper").call(run_input={"chamber": "all", "maxResults": 5})
dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Extracted {len(dataset_items)} items!")

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/congress-stock-trades-scraper').call({"chamber": "all", "maxResults": 5});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} items!`);

Method 4: REST API / cURL

curl -X POST "https://api.apify.com/v2/acts/litezero~congress-stock-trades-scraper/runs?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"chamber": "all", "maxResults": 5}'

📥 Input Parameters

FieldTypeDescriptionDefault
chamberStringFilter by chamber: 'all', 'senate', or 'house'.all
tickerStringFilter by specific ticker symbol (e.g. NVDA, AAPL, MSFT).``
politicianNameStringSearch trades by lawmaker name (e.g. Nancy Pelosi, Dan Crenshaw).``
maxResultsIntegerMaximum transactions to return.100

📤 Output Data Dictionary & Sample JSON

{
"politicianName": "Nancy Pelosi",
"chamber": "House",
"state": "CA",
"party": "Democrat",
"transactionDate": "2026-09-18",
"filingDate": "2026-10-02",
"ticker": "NVDA",
"assetDescription": "NVIDIA Corporation - Common Stock",
"transactionType": "purchase",
"amountRange": "$1,000,001 - $5,000,000",
"owner": "Spouse",
"documentPdfUrl": "https://disclosures-clerk.house.gov/public_disc/ptr-pdfs/2026/20019283.pdf"
}

💡 Top Commercial Use Cases

  1. Automated Market Intelligence: Stream fresh data into Slack, Discord, Google Sheets, or Zapier webhooks.
  2. Quantitative Research: Feed machine learning models, predictive alphas, and algorithmic trading desks.
  3. B2B Growth & Lead Gen: Poach competitors' unhappy users or discover newly funded high-growth targets.