# FTC Enforcement Case Delta & Report (`taroyamada/ftc-enforcement-case-delta-report`) Actor

Track source-linked changes on the FTC public Cases and Proceedings page and receive structured case alerts, evidence summaries, and exports.

- **URL**: https://apify.com/taroyamada/ftc-enforcement-case-delta-report.md
- **Developed by:** [naoki anzai](https://apify.com/taroyamada) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $6.00 / 1,000 ftc case rows

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/platform/actors/running/actors-in-store#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

Regulatory researchers and compliance operations teams use this actor to watch public FTC case records for source-linked changes.
Input: search terms, action/status filters, an update window, a monitor key, and a bounded page/case budget.
Output: new-case and change alerts plus source-linked evidence reports or structured exports; unchanged runs emit zero rows and zero charges.

## FTC Enforcement Case Delta & Report

Watch the public [FTC Cases and Proceedings](https://www.ftc.gov/legal-library/browse/cases-proceedings) list without a login, API key, browser automation, or private source. The actor compares the visible case fields saved under your `monitorKey` and reports only source-linked changes.

### Store Quickstart

1. Run the first example with `initialRunMode: "baseline_only"`, `maxChargeUsd: 0`, and `dryRun: false`. This saves the current snapshot and is free.
2. For a recurring watch, keep the same `monitorKey`, set `initialRunMode: "emit_backfill"` only when you want the first matched window delivered, and set a charge cap that covers the requested report/export events.
3. Keep `generateReport: true` and `emitUnchanged: false`. A no-change poll emits zero dataset rows and zero billable events.

### Run the next report

- Track source-linked CFR wording changes with [eCFR CFR Section Change Watch Scraper](https://apify.com/taroyamada/ecfr-cfr-section-change-watch-scraper).
- Map eCFR and Federal Register changes to reviewable obligations with [Regulatory Obligation Change Impact Report](https://apify.com/taroyamada/regulatory-obligation-change-impact-report).
- Generate filing-linked public-company disclosure reports with [SEC EDGAR Material Disclosure Watch Scraper](https://apify.com/taroyamada/sec-edgar-material-disclosure-watch-scraper).

### Input Examples

#### 1. Free baseline for a consumer-protection watch

```json
{
  "searchTerms": ["privacy", "advertising"],
  "actionTypes": ["Federal", "Administrative"],
  "caseStatuses": ["Pending"],
  "updatedSince": "2026-08-01T00:00:00.000Z",
  "maxPages": 2,
  "maxCases": 40,
  "monitorKey": "consumer-protection-watch",
  "initialRunMode": "baseline_only",
  "emitUnchanged": false,
  "emitRawRows": false,
  "generateReport": true,
  "emitExport": false,
  "maxChargeUsd": 0,
  "dryRun": false
}
```

#### 2. Changed-case report

```json
{
  "searchTerms": ["privacy"],
  "actionTypes": ["Federal"],
  "caseStatuses": ["Pending", "Under Order"],
  "maxPages": 3,
  "maxCases": 60,
  "monitorKey": "privacy-watch",
  "initialRunMode": "emit_backfill",
  "emitUnchanged": false,
  "emitRawRows": false,
  "generateReport": true,
  "emitExport": false,
  "maxChargeUsd": 13,
  "dryRun": false
}
```

#### 3. Alert plus JSON export

```json
{
  "searchTerms": ["health", "reviews"],
  "actionTypes": [],
  "caseStatuses": [],
  "updatedSince": "2026-07-01T00:00:00.000Z",
  "maxPages": 2,
  "maxCases": 30,
  "monitorKey": "health-review-watch",
  "initialRunMode": "emit_backfill",
  "emitUnchanged": false,
  "emitRawRows": true,
  "generateReport": true,
  "emitExport": true,
  "maxChargeUsd": 20.01,
  "dryRun": false
}
```

### Output

Every delivered row includes `sourceUrl`, `caseKey`, `retrievedAt`, `dataTimestamp`, the visible case fields, limitations, and prohibited interpretations. Alert rows use one of `new_case`, `case_status_changed`, `action_type_changed`, or `case_updated`.

The report event is a source-linked evidence summary. It does not label a party, predict an outcome, or score a case. The export event contains the matched case fields and source links in JSON form.

### Pricing

PAY\_PER\_EVENT events are deliberately separated by value:

- `ftc-case-row`: `$0.006` per changed raw case row when `emitRawRows` is enabled.
- `ftc-case-change-alert`: `$0.20` per new or changed case alert.
- `ftc-enforcement-report`: `$12` per source-linked evidence report.
- `ftc-export-generated`: `$8` per structured export event.

The actor never charges an actor-start event. A no-change poll, a baseline-only run, an incomplete source fetch, or a run over `maxChargeUsd` emits zero billable rows. State is committed only after successful delivery; a failed state save fails the run.

### Compliance Guardrails

- Source access is limited to the public FTC Cases and Proceedings pages under the documented URL.
- No account, API key, browser bypass, CAPTCHA handling, private source, or non-FTC redirect is used.
- Summaries preserve source links and visible fields. Do not use them to make professional, financial, regulatory, culpability, or outcome conclusions.
- The actor has no FTC affiliation or endorsement, and the thumbnail uses no agency mark or seal.

### See Also

- [FTC Cases and Proceedings](https://www.ftc.gov/legal-library/browse/cases-proceedings) for the source record.
- [Integration guide](docs/integration-guide.md) for scheduled monitoring and delivery handling.
- [Source compliance](docs/source-compliance.md) for source and output guardrails.

# Actor input Schema

## `searchTerms` (type: `array`):

Match any term against the case title, summary, matter number, docket number, or case key.

## `actionTypes` (type: `array`):

Exact case action types such as Federal or Administrative.

## `caseStatuses` (type: `array`):

Exact case statuses such as Pending, Closed, or Under Order.

## `updatedSince` (type: `string`):

Optional ISO date. Only records with a source last-updated date on or after this value are watched.

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

Number of public FTC list pages to fetch, from 1 to 10.

## `maxCases` (type: `integer`):

Maximum number of matched case records retained in one run.

## `monitorKey` (type: `string`):

Isolates state for a watchlist. Use a stable key for recurring runs.

## `initialRunMode` (type: `string`):

baseline\_only stores the snapshot for free; emit\_backfill emits current matches as changes.

## `emitUnchanged` (type: `boolean`):

Retained for input compatibility. Unchanged monitoring remains zero-row and zero-charge.

## `emitRawRows` (type: `boolean`):

Add low-cost rows for changed cases in addition to alerts. Disabled by default.

## `generateReport` (type: `boolean`):

Add one source-linked evidence summary when changes are detected.

## `emitExport` (type: `boolean`):

Add one structured JSON export event when changes are detected.

## `maxChargeUsd` (type: `number`):

The run emits no billable rows and does not commit state when its estimated price exceeds this cap.

## `dryRun` (type: `boolean`):

Emit deterministic local examples without source requests, state changes, or billing.

## Actor input object example

```json
{
  "searchTerms": [],
  "actionTypes": [],
  "caseStatuses": [],
  "updatedSince": "",
  "maxPages": 1,
  "maxCases": 50,
  "monitorKey": "default",
  "initialRunMode": "baseline_only",
  "emitUnchanged": false,
  "emitRawRows": false,
  "generateReport": true,
  "emitExport": false,
  "maxChargeUsd": 0,
  "dryRun": false
}
```

# 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("taroyamada/ftc-enforcement-case-delta-report").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("taroyamada/ftc-enforcement-case-delta-report").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 taroyamada/ftc-enforcement-case-delta-report --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,taroyamada/ftc-enforcement-case-delta-report"
        }
    }
}

```

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/A2XTUl7jWkuGUuC93/builds/RreR43pOQ0QdbfrJz/openapi.json