# SEC Regulatory Enforcement & Sanctions Tracker (`papa_developers/sec-regulatory-enforcement-scraper`) Actor

Scrapes, structures, and indexes SEC regulatory enforcement actions, litigation releases, administrative proceedings, and penalty sanctions for compliance, legal, and risk teams.

- **URL**: https://apify.com/papa\_developers/sec-regulatory-enforcement-scraper.md
- **Developed by:** [Hunny](https://apify.com/papa_developers) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## SEC Regulatory Enforcement & Sanctions Tracker

**Scrape, structure, and index SEC regulatory enforcement releases, litigation actions, administrative proceedings, and civil monetary penalty sanctions in real-time.**

The **SEC Regulatory Enforcement & Sanctions Tracker** extracts structured compliance intelligence directly from SEC disclosures. It standardizes legal captions, named respondent entities/individuals, violation statutes (Securities Act, Exchange Act, Advisers Act), monetary fines, disgorgement totals, court jurisdictions, and canonical SEC document links.

***

### ⚖️ Built For Compliance, Legal & Quant Teams

- **Risk & KYC Screening:** Ingest verified regulatory sanctions into internal compliance matrices and vendor risk audits.
- **Litigation Tracking:** Monitor federal district court and administrative cease-and-desist filings across financial institutions, crypto entities, and public corporations.
- **Granular Penalty Filtering:** Filter proceedings by monetary sanction thresholds (e.g. actions exceeding $10,000,000 USD) and release year.
- **Pay-per-Event Pricing:** Pay only for results retrieved ($0.005 per structured enforcement record). Zero monthly lock-in.
- **AI & Agent Native:** Compatible with Model Context Protocol (MCP) clients, RAG knowledge bases, and legal LLM pipelines.

***

### 🛠️ Input Configuration

| Field | Type | Default | Description |
|---|---|---|---|
| `categories` | Array | `["all"]` | Select proceedings: `all`, `litigation-releases`, `administrative-proceedings`, `accounting-auditing`, `crypto-enforcement`. |
| `min_penalty_usd` | Integer | `0` | Filter actions by minimum total penalty and disgorgement amount ($ USD). |
| `max_records` | Integer | `50` | Maximum number of regulatory records to extract (1 - 500). |
| `year_filter` | String | `"all"` | Filter by publication year: `all`, `2026`, `2025`, `2024`, `2023`. |

***

### 📊 Sample Output

```json
{
  "action_id": "LR-26095",
  "release_title": "SEC v. Terraform Labs Pte Ltd. and Do Hyeong Kwon",
  "respondents": ["Terraform Labs Pte Ltd.", "Do Hyeong Kwon"],
  "category": "crypto-enforcement",
  "release_date": "2024-06-13",
  "violation_statutes": [
    "Securities Act Section 17(a)",
    "Exchange Act Section 10(b)",
    "Exchange Act Rule 10b-5"
  ],
  "penalty_amount_usd": 4470000000.0,
  "court_jurisdiction": "U.S. District Court for the Southern District of New York",
  "sec_release_url": "https://www.sec.gov/litigation/litreleases/lr-26095",
  "summary": "Final judgment ordering Terraform Labs and Kwon to pay over $4.47 billion in disgorgement and civil penalties following jury verdict of crypto securities fraud.",
  "scraped_at": "2026-09-04T02:00:00Z"
}
```

***

### 💰 Pricing

This Actor utilizes Apify's **Pay-Per-Event (PPE)** pricing:

- **Startup Cost:** **$0.00**
- **Per Result:** **$0.005 USD** ($5.00 per 1,000 regulatory records)
- **Volume Discounts:** Enabled automatically for paying Apify platform subscribers.

***

### 🚀 How to Run via API or Python

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("papa_developers/sec-regulatory-enforcement-scraper").call(run_input={
    "categories": ["crypto-enforcement", "accounting-auditing"],
    "min_penalty_usd": 5000000,
    "max_records": 50
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["action_id"], "->", item["release_title"], "-> $", item["penalty_amount_usd"])
```

# Actor input Schema

## `categories` (type: `array`):

Select which regulatory release categories to scrape.

## `min_penalty_usd` (type: `integer`):

Filter actions with financial penalties/disgorgement greater than or equal to this threshold.

## `max_records` (type: `integer`):

Maximum number of enforcement actions to retrieve and export.

## `year_filter` (type: `string`):

Filter disclosures by release year.

## Actor input object example

```json
{
  "categories": [
    "all"
  ],
  "min_penalty_usd": 0,
  "max_records": 50,
  "year_filter": "all"
}
```

# Actor output Schema

## `results` (type: `string`):

Structured regulatory enforcement actions stored in default dataset

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("papa_developers/sec-regulatory-enforcement-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("papa_developers/sec-regulatory-enforcement-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call papa_developers/sec-regulatory-enforcement-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,papa_developers/sec-regulatory-enforcement-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Eoo4eUquDI5Y7oSZk/builds/M2mnXXK8JXuiVC7o3/openapi.json