US Congress & Senate STOCK Act Trade Disclosures Scraper
Pricing
from $2.80 / 1,000 item scrapeds
Go to Apify Store

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
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
a day ago
Last modified
Categories
Share
🏛️ 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.
🥊 Why This Actor Beats the Competition
| Feature | Tillzero Actor | Standard 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
- Navigate to the Actor page in the Apify Store.
- Configure your search parameters in the intuitive Web UI.
- Click Start to run the scraper and export results to CSV, Excel, or JSON.
Method 2: Python SDK
from apify_client import ApifyClientclient = 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().itemsprint(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
| Field | Type | Description | Default |
|---|---|---|---|
chamber | String | Filter by chamber: 'all', 'senate', or 'house'. | all |
ticker | String | Filter by specific ticker symbol (e.g. NVDA, AAPL, MSFT). | `` |
politicianName | String | Search trades by lawmaker name (e.g. Nancy Pelosi, Dan Crenshaw). | `` |
maxResults | Integer | Maximum 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
- Automated Market Intelligence: Stream fresh data into Slack, Discord, Google Sheets, or Zapier webhooks.
- Quantitative Research: Feed machine learning models, predictive alphas, and algorithmic trading desks.
- B2B Growth & Lead Gen: Poach competitors' unhappy users or discover newly funded high-growth targets.