# FTC Warning Letters Scraper (`neuton/ftc-warning-letters-scraper`) Actor

Extract Federal Trade Commission warning letters with company names, topics, press-release links, PDFs, and source URLs for compliance and market-risk monitoring.

- **URL**: https://apify.com/neuton/ftc-warning-letters-scraper.md
- **Developed by:** [Ashwin Prasad](https://apify.com/neuton) (community)
- **Categories:** Business, AI, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

## FTC Warning Letters Scraper

Extract Federal Trade Commission warning letters from the FTC legal library for compliance, advertising-risk, consumer-protection, enforcement, and brand-risk monitoring.

Use this actor to monitor official FTC warning-letter activity for legal research, brand-risk checks, marketing compliance, product claims review, due diligence, and AI-agent/MCP workflows that need structured enforcement-risk rows.

### What it extracts

- Warning-letter title and FTC detail page
- Related press-release title and URL when listed
- Warning-letter PDF title and URL when listed
- Listing page and scrape timestamp

### Use cases

- Monitor new FTC warning letters by topic or industry
- Track companies receiving Made in USA, auto, health, advertising, privacy, or noncompete warnings
- Feed compliance dashboards and due-diligence systems
- Build watchlists for legal, policy, and market-risk teams
- Enrich company research with consumer-protection and advertising-risk signals
- Track FTC warning themes for legal, compliance, policy, marketplace, and investment research

### Agent And Automation Use

The actor accepts keyword and page-depth inputs and returns structured rows with warning-letter titles, FTC detail pages, related press releases, PDF links, listing source, and scrape timestamp. It works as a scheduled FTC monitor or as an agent-callable tool for enforcement-risk research.

### SEO Keywords

FTC warning letters scraper, FTC enforcement API, FTC legal library scraper, consumer protection data, advertising compliance monitoring, Made in USA warning letters, FTC compliance data, brand risk monitoring.

### Input

Use `keywords` to filter by company, industry, topic, or risk phrase. Increase `maxPages` to scan deeper into FTC history.

### Pricing guidance

Recommended launch pricing: $3 per 1,000 rows, increasing toward $5 per 1,000 after repeat compliance usage appears.

# Actor input Schema

## `keywords` (type: `array`):

Optional terms to match in letter title, press release, or PDF text link.

## `maxPages` (type: `integer`):

Maximum listing pages to scan.

## `maxResults` (type: `integer`):

Maximum warning-letter rows to return.

## Actor input object example

```json
{
  "keywords": [
    "auto"
  ],
  "maxPages": 1,
  "maxResults": 50
}
```

# Actor output Schema

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

No description

# 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("neuton/ftc-warning-letters-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("neuton/ftc-warning-letters-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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 neuton/ftc-warning-letters-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=neuton/ftc-warning-letters-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/qxcCWd9uID6PwGlZ1/builds/DYWryJwwNgEahkqlR/openapi.json